diff options
| author | Sebastian Reichel <sre@ring0.de> | 2012-10-02 01:05:51 +0200 |
|---|---|---|
| committer | Sebastian Reichel <sre@ring0.de> | 2012-10-02 01:05:51 +0200 |
| commit | 186049b3ed33f025eeb87eb34c19a28e1d5ba70a (patch) | |
| tree | 5d892564001404fe979e18eac0e65dfcad65ed5e /invoice | |
| parent | 9713c98dbceb54d8d00c186ba8f41f3a5befcfd1 (diff) | |
| download | serial-barcode-scanner-186049b3ed33f025eeb87eb34c19a28e1d5ba70a.tar.bz2 | |
restructure code, switch from GTK to Web based UI
- move barcode generation scripts into generation/
- move code to src/
- remove database analysis from invoice/graph
- put database creation sql files into sql/
- remove glade builder file
- add new templates/ directory, which contains files
used by the Web-UI
Diffstat (limited to 'invoice')
| -rwxr-xr-x | invoice/generate-invoice.py | 6 | ||||
| -rwxr-xr-x | invoice/graph/cairoplot.py | 2336 | ||||
| -rwxr-xr-x | invoice/graph/graphs.py | 223 | ||||
| -rwxr-xr-x | invoice/graph/series.py | 1140 |
4 files changed, 3 insertions, 3702 deletions
diff --git a/invoice/generate-invoice.py b/invoice/generate-invoice.py index 6613bfc..56db6ec 100755 --- a/invoice/generate-invoice.py +++ b/invoice/generate-invoice.py @@ -58,7 +58,7 @@ def get_invoice_data(user, start=0, stop=0): if stop > 0: stopcondition = " AND timestamp <= %d" % stop - c.execute("SELECT date(timestamp, 'unixepoch', 'localtime'), time(timestamp, 'unixepoch', 'localtime'), products.name, purchases.product, purchases.timestamp FROM purchases, products WHERE user = ? AND products.id = purchases.product" + startcondition + stopcondition + " ORDER BY timestamp;", (user,)) + c.execute("SELECT date(timestamp, 'unixepoch', 'localtime'), time(timestamp, 'unixepoch', 'localtime'), products.name, sells.product, sells.timestamp FROM sells, products WHERE user = ? AND products.id = sells.product" + startcondition + stopcondition + " ORDER BY timestamp;", (user,)) result = [] for row in c: @@ -194,7 +194,7 @@ def get_invoice_amount(user, start=0, stop=0): if user < 0: return 0 else: - query = "SELECT SUM(memberprice) FROM users, purchases purch, prices \ + query = "SELECT SUM(memberprice) FROM users, sells purch, prices \ WHERE users.id = ? AND users.id = purch.user AND purch.product = prices.product \ AND purch.timestamp >= ? AND purch.timestamp <= ? AND prices.valid_from = \ (SELECT valid_from FROM prices WHERE product = purch.product AND \ @@ -265,7 +265,7 @@ def get_users_with_purchases(start, stop): connection = sqlite3.connect('shop.db') c = connection.cursor() - c.execute("SELECT user FROM purchases WHERE timestamp >= ? AND timestamp <= ? GROUP BY user ORDER BY user;", (start,stop)) + c.execute("SELECT user FROM sells WHERE timestamp >= ? AND timestamp <= ? GROUP BY user ORDER BY user;", (start,stop)) for row in c: result.append(row[0]) diff --git a/invoice/graph/cairoplot.py b/invoice/graph/cairoplot.py deleted file mode 100755 index a15f329..0000000 --- a/invoice/graph/cairoplot.py +++ /dev/null @@ -1,2336 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- - -# CairoPlot.py -# -# Copyright (c) 2008 Rodrigo Moreira Araújo -# -# Author: Rodrigo Moreiro Araujo <alf.rodrigo@gmail.com> -# -# This program is free software; you can redistribute it and/or -# modify it under the terms of the GNU Lesser General Public License -# as published by the Free Software Foundation; either version 2 of -# the License, or (at your option) any later version. -# -# This program is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU Lesser General Public -# License along with this program; if not, write to the Free Software -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 -# USA - -#Contributor: João S. O. Bueno - -#TODO: review BarPlot Code -#TODO: x_label colision problem on Horizontal Bar Plot -#TODO: y_label's eat too much space on HBP - - -__version__ = 1.2 - -import cairo -import math -import random -from series import Series, Group, Data - -HORZ = 0 -VERT = 1 -NORM = 2 - -COLORS = {"red" : (1.0,0.0,0.0,1.0), "lime" : (0.0,1.0,0.0,1.0), "blue" : (0.0,0.0,1.0,1.0), - "maroon" : (0.5,0.0,0.0,1.0), "green" : (0.0,0.5,0.0,1.0), "navy" : (0.0,0.0,0.5,1.0), - "yellow" : (1.0,1.0,0.0,1.0), "magenta" : (1.0,0.0,1.0,1.0), "cyan" : (0.0,1.0,1.0,1.0), - "orange" : (1.0,0.5,0.0,1.0), "white" : (1.0,1.0,1.0,1.0), "black" : (0.0,0.0,0.0,1.0), - "gray" : (0.5,0.5,0.5,1.0), "light_gray" : (0.9,0.9,0.9,1.0), - "transparent" : (0.0,0.0,0.0,0.0)} - -THEMES = {"black_red" : [(0.0,0.0,0.0,1.0), (1.0,0.0,0.0,1.0)], - "red_green_blue" : [(1.0,0.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0)], - "red_orange_yellow" : [(1.0,0.2,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,1.0,0.0,1.0)], - "yellow_orange_red" : [(1.0,1.0,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,0.2,0.0,1.0)], - "rainbow" : [(1.0,0.0,0.0,1.0), (1.0,0.5,0.0,1.0), (1.0,1.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0), (0.3, 0.0, 0.5,1.0), (0.5, 0.0, 1.0, 1.0)]} - -def colors_from_theme( theme, series_length, mode = 'solid' ): - colors = [] - if theme not in THEMES.keys() : - raise Exception, "Theme not defined" - color_steps = THEMES[theme] - n_colors = len(color_steps) - if series_length <= n_colors: - colors = [color + tuple([mode]) for color in color_steps[0:n_colors]] - else: - iterations = [(series_length - n_colors)/(n_colors - 1) for i in color_steps[:-1]] - over_iterations = (series_length - n_colors) % (n_colors - 1) - for i in range(n_colors - 1): - if over_iterations <= 0: - break - iterations[i] += 1 - over_iterations -= 1 - for index,color in enumerate(color_steps[:-1]): - colors.append(color + tuple([mode])) - if iterations[index] == 0: - continue - next_color = color_steps[index+1] - color_step = ((next_color[0] - color[0])/(iterations[index] + 1), - (next_color[1] - color[1])/(iterations[index] + 1), - (next_color[2] - color[2])/(iterations[index] + 1), - (next_color[3] - color[3])/(iterations[index] + 1)) - for i in range( iterations[index] ): - colors.append((color[0] + color_step[0]*(i+1), - color[1] + color_step[1]*(i+1), - color[2] + color_step[2]*(i+1), - color[3] + color_step[3]*(i+1), - mode)) - colors.append(color_steps[-1] + tuple([mode])) - return colors - - -def other_direction(direction): - "explicit is better than implicit" - if direction == HORZ: - return VERT - else: - return HORZ - -#Class definition - -class Plot(object): - def __init__(self, - surface=None, - data=None, - width=640, - height=480, - background=None, - border = 0, - x_labels = None, - y_labels = None, - series_colors = None): - random.seed(2) - self.create_surface(surface, width, height) - self.dimensions = {} - self.dimensions[HORZ] = width - self.dimensions[VERT] = height - self.context = cairo.Context(self.surface) - self.labels={} - self.labels[HORZ] = x_labels - self.labels[VERT] = y_labels - self.load_series(data, x_labels, y_labels, series_colors) - self.font_size = 10 - self.set_background (background) - self.border = border - self.borders = {} - self.line_color = (0.5, 0.5, 0.5) - self.line_width = 0.5 - self.label_color = (0.0, 0.0, 0.0) - self.grid_color = (0.8, 0.8, 0.8) - - def create_surface(self, surface, width=None, height=None): - self.filename = None - if isinstance(surface, cairo.Surface): - self.surface = surface - return - if not type(surface) in (str, unicode): - raise TypeError("Surface should be either a Cairo surface or a filename, not %s" % surface) - sufix = surface.rsplit(".")[-1].lower() - self.filename = surface - if sufix == "png": - self.surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height) - elif sufix == "ps": - self.surface = cairo.PSSurface(surface, width, height) - elif sufix == "pdf": - self.surface = cairo.PSSurface(surface, width, height) - else: - if sufix != "svg": - self.filename += ".svg" - self.surface = cairo.SVGSurface(self.filename, width, height) - - def commit(self): - try: - self.context.show_page() - if self.filename and self.filename.endswith(".png"): - self.surface.write_to_png(self.filename) - else: - self.surface.finish() - except cairo.Error: - pass - - def load_series (self, data, x_labels=None, y_labels=None, series_colors=None): - self.series_labels = [] - self.series = None - - #The pretty way - #if not isinstance(data, Series): - # # Not an instance of Series - # self.series = Series(data) - #else: - # self.series = data - # - #self.series_labels = self.series.get_names() - - #TODO: Remove on next version - # The ugly way, keeping retrocompatibility... - if callable(data) or type(data) is list and callable(data[0]): # Lambda or List of lambdas - self.series = data - self.series_labels = None - elif isinstance(data, Series): # Instance of Series - self.series = data - self.series_labels = data.get_names() - else: # Anything else - self.series = Series(data) - self.series_labels = self.series.get_names() - - #TODO: allow user passed series_widths - self.series_widths = [1.0 for group in self.series] - - #TODO: Remove on next version - self.process_colors( series_colors ) - - def process_colors( self, series_colors, length = None, mode = 'solid' ): - #series_colors might be None, a theme, a string of colors names or a list of color tuples - if length is None : - length = len( self.series.to_list() ) - - #no colors passed - if not series_colors: - #Randomize colors - self.series_colors = [ [random.random() for i in range(3)] + [1.0, mode] for series in range( length ) ] - else: - #Just theme pattern - if not hasattr( series_colors, "__iter__" ): - theme = series_colors - self.series_colors = colors_from_theme( theme.lower(), length ) - - #Theme pattern and mode - elif not hasattr(series_colors, '__delitem__') and not hasattr( series_colors[0], "__iter__" ): - theme = series_colors[0] - mode = series_colors[1] - self.series_colors = colors_from_theme( theme.lower(), length, mode ) - - #List - else: - self.series_colors = series_colors - for index, color in enumerate( self.series_colors ): - #element is a color name - if not hasattr(color, "__iter__"): - self.series_colors[index] = COLORS[color.lower()] + tuple([mode]) - #element is rgb tuple instead of rgba - elif len( color ) == 3 : - self.series_colors[index] += (1.0,mode) - #element has 4 elements, might be rgba tuple or rgb tuple with mode - elif len( color ) == 4 : - #last element is mode - if not hasattr(color[3], "__iter__"): - self.series_colors[index] += tuple([color[3]]) - self.series_colors[index][3] = 1.0 - #last element is alpha - else: - self.series_colors[index] += tuple([mode]) - - def get_width(self): - return self.surface.get_width() - - def get_height(self): - return self.surface.get_height() - - def set_background(self, background): - if background is None: - self.background = (0.0,0.0,0.0,0.0) - elif type(background) in (cairo.LinearGradient, tuple): - self.background = background - elif not hasattr(background,"__iter__"): - colors = background.split(" ") - if len(colors) == 1 and colors[0] in COLORS: - self.background = COLORS[background] - elif len(colors) > 1: - self.background = cairo.LinearGradient(self.dimensions[HORZ] / 2, 0, self.dimensions[HORZ] / 2, self.dimensions[VERT]) - for index,color in enumerate(colors): - self.background.add_color_stop_rgba(float(index)/(len(colors)-1),*COLORS[color]) - else: - raise TypeError ("Background should be either cairo.LinearGradient or a 3/4-tuple, not %s" % type(background)) - - def render_background(self): - if isinstance(self.background, cairo.LinearGradient): - self.context.set_source(self.background) - else: - self.context.set_source_rgba(*self.background) - self.context.rectangle(0,0, self.dimensions[HORZ], self.dimensions[VERT]) - self.context.fill() - - def render_bounding_box(self): - self.context.set_source_rgba(*self.line_color) - self.context.set_line_width(self.line_width) - self.context.rectangle(self.border, self.border, - self.dimensions[HORZ] - 2 * self.border, - self.dimensions[VERT] - 2 * self.border) - self.context.stroke() - - def render(self): - pass - -class ScatterPlot( Plot ): - def __init__(self, - surface=None, - data=None, - errorx=None, - errory=None, - width=640, - height=480, - background=None, - border=0, - axis = False, - dash = False, - discrete = False, - dots = 0, - grid = False, - series_legend = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - z_bounds = None, - x_title = None, - y_title = None, - series_colors = None, - circle_colors = None ): - - self.bounds = {} - self.bounds[HORZ] = x_bounds - self.bounds[VERT] = y_bounds - self.bounds[NORM] = z_bounds - self.titles = {} - self.titles[HORZ] = x_title - self.titles[VERT] = y_title - self.max_value = {} - self.axis = axis - self.discrete = discrete - self.dots = dots - self.grid = grid - self.series_legend = series_legend - self.variable_radius = False - self.x_label_angle = math.pi / 2.5 - self.circle_colors = circle_colors - - Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors) - - self.dash = None - if dash: - if hasattr(dash, "keys"): - self.dash = [dash[key] for key in self.series_labels] - elif max([hasattr(item,'__delitem__') for item in data]) : - self.dash = dash - else: - self.dash = [dash] - - self.load_errors(errorx, errory) - - def convert_list_to_tuple(self, data): - #Data must be converted from lists of coordinates to a single - # list of tuples - out_data = zip(*data) - if len(data) == 3: - self.variable_radius = True - return out_data - - def load_series(self, data, x_labels = None, y_labels = None, series_colors=None): - #TODO: In cairoplot 2.0 keep only the Series instances - - # Convert Data and Group to Series - if isinstance(data, Data) or isinstance(data, Group): - data = Series(data) - - # Series - if isinstance(data, Series): - for group in data: - for item in group: - if len(item) is 3: - self.variable_radius = True - - #Dictionary with lists - if hasattr(data, "keys") : - if hasattr( data.values()[0][0], "__delitem__" ) : - for key in data.keys() : - data[key] = self.convert_list_to_tuple(data[key]) - elif len(data.values()[0][0]) == 3: - self.variable_radius = True - #List - elif hasattr(data[0], "__delitem__") : - #List of lists - if hasattr(data[0][0], "__delitem__") : - for index,value in enumerate(data) : - data[index] = self.convert_list_to_tuple(value) - #List - elif type(data[0][0]) != type((0,0)): - data = self.convert_list_to_tuple(data) - #Three dimensional data - elif len(data[0][0]) == 3: - self.variable_radius = True - - #List with three dimensional tuples - elif len(data[0]) == 3: - self.variable_radius = True - Plot.load_series(self, data, x_labels, y_labels, series_colors) - self.calc_boundaries() - self.calc_labels() - - def load_errors(self, errorx, errory): - self.errors = None - if errorx == None and errory == None: - return - self.errors = {} - self.errors[HORZ] = None - self.errors[VERT] = None - #asimetric errors - if errorx and hasattr(errorx[0], "__delitem__"): - self.errors[HORZ] = errorx - #simetric errors - elif errorx: - self.errors[HORZ] = [errorx] - #asimetric errors - if errory and hasattr(errory[0], "__delitem__"): - self.errors[VERT] = errory - #simetric errors - elif errory: - self.errors[VERT] = [errory] - - def calc_labels(self): - if not self.labels[HORZ]: - amplitude = self.bounds[HORZ][1] - self.bounds[HORZ][0] - if amplitude % 10: #if horizontal labels need floating points - self.labels[HORZ] = ["%.2lf" % (float(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ] - else: - self.labels[HORZ] = ["%d" % (int(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ] - if not self.labels[VERT]: - amplitude = self.bounds[VERT][1] - self.bounds[VERT][0] - if amplitude % 10: #if vertical labels need floating points - self.labels[VERT] = ["%.2lf" % (float(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ] - else: - self.labels[VERT] = ["%d" % (int(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ] - - def calc_extents(self, direction): - self.context.set_font_size(self.font_size * 0.8) - self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction]) - self.borders[other_direction(direction)] = self.max_value[direction] + self.border + 20 - - def calc_boundaries(self): - #HORZ = 0, VERT = 1, NORM = 2 - min_data_value = [0,0,0] - max_data_value = [0,0,0] - - for group in self.series: - if type(group[0].content) in (int, float, long): - group = [Data((index, item.content)) for index,item in enumerate(group)] - - for point in group: - for index, item in enumerate(point.content): - if item > max_data_value[index]: - max_data_value[index] = item - elif item < min_data_value[index]: - min_data_value[index] = item - - if not self.bounds[HORZ]: - self.bounds[HORZ] = (min_data_value[HORZ], max_data_value[HORZ]) - if not self.bounds[VERT]: - self.bounds[VERT] = (min_data_value[VERT], max_data_value[VERT]) - if not self.bounds[NORM]: - self.bounds[NORM] = (min_data_value[NORM], max_data_value[NORM]) - - def calc_all_extents(self): - self.calc_extents(HORZ) - self.calc_extents(VERT) - - self.plot_height = self.dimensions[VERT] - 2 * self.borders[VERT] - self.plot_width = self.dimensions[HORZ] - 2* self.borders[HORZ] - - self.plot_top = self.dimensions[VERT] - self.borders[VERT] - - def calc_steps(self): - #Calculates all the x, y, z and color steps - series_amplitude = [self.bounds[index][1] - self.bounds[index][0] for index in range(3)] - - if series_amplitude[HORZ]: - self.horizontal_step = float (self.plot_width) / series_amplitude[HORZ] - else: - self.horizontal_step = 0.00 - - if series_amplitude[VERT]: - self.vertical_step = float (self.plot_height) / series_amplitude[VERT] - else: - self.vertical_step = 0.00 - - if series_amplitude[NORM]: - if self.variable_radius: - self.z_step = float (self.bounds[NORM][1]) / series_amplitude[NORM] - if self.circle_colors: - self.circle_color_step = tuple([float(self.circle_colors[1][i]-self.circle_colors[0][i])/series_amplitude[NORM] for i in range(4)]) - else: - self.z_step = 0.00 - self.circle_color_step = ( 0.0, 0.0, 0.0, 0.0 ) - - def get_circle_color(self, value): - return tuple( [self.circle_colors[0][i] + value*self.circle_color_step[i] for i in range(4)] ) - - def render(self): - self.calc_all_extents() - self.calc_steps() - self.render_background() - self.render_bounding_box() - if self.axis: - self.render_axis() - if self.grid: - self.render_grid() - self.render_labels() - self.render_plot() - if self.errors: - self.render_errors() - if self.series_legend and self.series_labels: - self.render_legend() - - def render_axis(self): - #Draws both the axis lines and their titles - cr = self.context - cr.set_source_rgba(*self.line_color) - cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT]) - cr.line_to(self.borders[HORZ], self.borders[VERT]) - cr.stroke() - - cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT]) - cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT]) - cr.stroke() - - cr.set_source_rgba(*self.label_color) - self.context.set_font_size( 1.2 * self.font_size ) - if self.titles[HORZ]: - title_width,title_height = cr.text_extents(self.titles[HORZ])[2:4] - cr.move_to( self.dimensions[HORZ]/2 - title_width/2, self.borders[VERT] - title_height/2 ) - cr.show_text( self.titles[HORZ] ) - - if self.titles[VERT]: - title_width,title_height = cr.text_extents(self.titles[VERT])[2:4] - cr.move_to( self.dimensions[HORZ] - self.borders[HORZ] + title_height/2, self.dimensions[VERT]/2 - title_width/2) - cr.save() - cr.rotate( math.pi/2 ) - cr.show_text( self.titles[VERT] ) - cr.restore() - - def render_grid(self): - cr = self.context - horizontal_step = float( self.plot_height ) / ( len( self.labels[VERT] ) - 1 ) - vertical_step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 ) - - x = self.borders[HORZ] + vertical_step - y = self.plot_top - horizontal_step - - for label in self.labels[HORZ][:-1]: - cr.set_source_rgba(*self.grid_color) - cr.move_to(x, self.dimensions[VERT] - self.borders[VERT]) - cr.line_to(x, self.borders[VERT]) - cr.stroke() - x += vertical_step - for label in self.labels[VERT][:-1]: - cr.set_source_rgba(*self.grid_color) - cr.move_to(self.borders[HORZ], y) - cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], y) - cr.stroke() - y -= horizontal_step - - def render_labels(self): - self.context.set_font_size(self.font_size * 0.8) - self.render_horz_labels() - self.render_vert_labels() - - def render_horz_labels(self): - cr = self.context - step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 ) - x = self.borders[HORZ] - y = self.dimensions[VERT] - self.borders[VERT] + 5 - - # store rotation matrix from the initial state - rotation_matrix = cr.get_matrix() - rotation_matrix.rotate(self.x_label_angle) - - cr.set_source_rgba(*self.label_color) - - for item in self.labels[HORZ]: - width = cr.text_extents(item)[2] - cr.move_to(x, y) - cr.save() - cr.set_matrix(rotation_matrix) - cr.show_text(item) - cr.restore() - x += step - - def render_vert_labels(self): - cr = self.context - step = ( self.plot_height ) / ( len( self.labels[VERT] ) - 1 ) - y = self.plot_top - cr.set_source_rgba(*self.label_color) - for item in self.labels[VERT]: - width = cr.text_extents(item)[2] - cr.move_to(self.borders[HORZ] - width - 5,y) - cr.show_text(item) - y -= step - - def render_legend(self): - cr = self.context - cr.set_font_size(self.font_size) - cr.set_line_width(self.line_width) - - widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2]) - tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3]) - max_width = self.context.text_extents(widest_word)[2] - max_height = self.context.text_extents(tallest_word)[3] * 1.1 - - color_box_height = max_height / 2 - color_box_width = color_box_height * 2 - - #Draw a bounding box - bounding_box_width = max_width + color_box_width + 15 - bounding_box_height = (len(self.series_labels)+0.5) * max_height - cr.set_source_rgba(1,1,1) - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT], - bounding_box_width, bounding_box_height) - cr.fill() - - cr.set_source_rgba(*self.line_color) - cr.set_line_width(self.line_width) - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT], - bounding_box_width, bounding_box_height) - cr.stroke() - - for idx,key in enumerate(self.series_labels): - #Draw color box - cr.set_source_rgba(*self.series_colors[idx][:4]) - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10, - self.borders[VERT] + color_box_height + (idx*max_height) , - color_box_width, color_box_height) - cr.fill() - - cr.set_source_rgba(0, 0, 0) - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10, - self.borders[VERT] + color_box_height + (idx*max_height), - color_box_width, color_box_height) - cr.stroke() - - #Draw series labels - cr.set_source_rgba(0, 0, 0) - cr.move_to(self.dimensions[HORZ] - self.borders[HORZ] - max_width - 5, self.borders[VERT] + ((idx+1)*max_height)) - cr.show_text(key) - - def render_errors(self): - cr = self.context - cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height) - cr.clip() - radius = self.dots - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step - for index, group in enumerate(self.series): - cr.set_source_rgba(*self.series_colors[index][:4]) - for number, data in enumerate(group): - x = x0 + self.horizontal_step * data.content[0] - y = self.dimensions[VERT] - y0 - self.vertical_step * data.content[1] - if self.errors[HORZ]: - cr.move_to(x, y) - x1 = x - self.horizontal_step * self.errors[HORZ][0][number] - cr.line_to(x1, y) - cr.line_to(x1, y - radius) - cr.line_to(x1, y + radius) - cr.stroke() - if self.errors[HORZ] and len(self.errors[HORZ]) == 2: - cr.move_to(x, y) - x1 = x + self.horizontal_step * self.errors[HORZ][1][number] - cr.line_to(x1, y) - cr.line_to(x1, y - radius) - cr.line_to(x1, y + radius) - cr.stroke() - if self.errors[VERT]: - cr.move_to(x, y) - y1 = y + self.vertical_step * self.errors[VERT][0][number] - cr.line_to(x, y1) - cr.line_to(x - radius, y1) - cr.line_to(x + radius, y1) - cr.stroke() - if self.errors[VERT] and len(self.errors[VERT]) == 2: - cr.move_to(x, y) - y1 = y - self.vertical_step * self.errors[VERT][1][number] - cr.line_to(x, y1) - cr.line_to(x - radius, y1) - cr.line_to(x + radius, y1) - cr.stroke() - - - def render_plot(self): - cr = self.context - if self.discrete: - cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height) - cr.clip() - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step - radius = self.dots - for number, group in enumerate (self.series): - cr.set_source_rgba(*self.series_colors[number][:4]) - for data in group : - if self.variable_radius: - radius = data.content[2]*self.z_step - if self.circle_colors: - cr.set_source_rgba( *self.get_circle_color( data.content[2]) ) - x = x0 + self.horizontal_step*data.content[0] - y = y0 + self.vertical_step*data.content[1] - cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi) - cr.fill() - else: - cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height) - cr.clip() - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step - radius = self.dots - for number, group in enumerate (self.series): - last_data = None - cr.set_source_rgba(*self.series_colors[number][:4]) - for data in group : - x = x0 + self.horizontal_step*data.content[0] - y = y0 + self.vertical_step*data.content[1] - if self.dots: - if self.variable_radius: - radius = data.content[2]*self.z_step - cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi) - cr.fill() - if last_data : - old_x = x0 + self.horizontal_step*last_data.content[0] - old_y = y0 + self.vertical_step*last_data.content[1] - cr.move_to( old_x, self.dimensions[VERT] - old_y ) - cr.line_to( x, self.dimensions[VERT] - y) - cr.set_line_width(self.series_widths[number]) - - # Display line as dash line - if self.dash and self.dash[number]: - s = self.series_widths[number] - cr.set_dash([s*3, s*3], 0) - - cr.stroke() - cr.set_dash([]) - last_data = data - -class DotLinePlot(ScatterPlot): - def __init__(self, - surface=None, - data=None, - width=640, - height=480, - background=None, - border=0, - axis = False, - dash = False, - dots = 0, - grid = False, - series_legend = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - x_title = None, - y_title = None, - series_colors = None): - - ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border, - axis, dash, False, dots, grid, series_legend, x_labels, y_labels, - x_bounds, y_bounds, None, x_title, y_title, series_colors, None ) - - - def load_series(self, data, x_labels = None, y_labels = None, series_colors=None): - Plot.load_series(self, data, x_labels, y_labels, series_colors) - for group in self.series : - for index,data in enumerate(group): - group[index].content = (index, data.content) - - self.calc_boundaries() - self.calc_labels() - -class FunctionPlot(ScatterPlot): - def __init__(self, - surface=None, - data=None, - width=640, - height=480, - background=None, - border=0, - axis = False, - discrete = False, - dots = 0, - grid = False, - series_legend = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - x_title = None, - y_title = None, - series_colors = None, - step = 1): - - self.function = data - self.step = step - self.discrete = discrete - - data, x_bounds = self.load_series_from_function( self.function, x_bounds ) - - ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border, - axis, False, discrete, dots, grid, series_legend, x_labels, y_labels, - x_bounds, y_bounds, None, x_title, y_title, series_colors, None ) - - def load_series(self, data, x_labels = None, y_labels = None, series_colors=None): - Plot.load_series(self, data, x_labels, y_labels, series_colors) - - if len(self.series[0][0]) is 1: - for group_id, group in enumerate(self.series) : - for index,data in enumerate(group): - group[index].content = (self.bounds[HORZ][0] + self.step*index, data.content) - - self.calc_boundaries() - self.calc_labels() - - def load_series_from_function( self, function, x_bounds ): - #TODO: Add the possibility for the user to define multiple functions with different discretization parameters - - #This function converts a function, a list of functions or a dictionary - #of functions into its corresponding array of data - series = Series() - - if isinstance(function, Group) or isinstance(function, Data): - function = Series(function) - - # If is instance of Series - if isinstance(function, Series): - # Overwrite any bounds passed by the function - x_bounds = (function.range[0],function.range[-1]) - - #if no bounds are provided - if x_bounds == None: - x_bounds = (0,10) - - - #TODO: Finish the dict translation - if hasattr(function, "keys"): #dictionary: - for key in function.keys(): - group = Group(name=key) - #data[ key ] = [] - i = x_bounds[0] - while i <= x_bounds[1] : - group.add_data(function[ key ](i)) - #data[ key ].append( function[ key ](i) ) - i += self.step - series.add_group(group) - - elif hasattr(function, "__delitem__"): #list of functions - for index,f in enumerate( function ) : - group = Group() - #data.append( [] ) - i = x_bounds[0] - while i <= x_bounds[1] : - group.add_data(f(i)) - #data[ index ].append( f(i) ) - i += self.step - series.add_group(group) - - elif isinstance(function, Series): # instance of Series - series = function - - else: #function - group = Group() - i = x_bounds[0] - while i <= x_bounds[1] : - group.add_data(function(i)) - i += self.step - series.add_group(group) - - - return series, x_bounds - - def calc_labels(self): - if not self.labels[HORZ]: - self.labels[HORZ] = [] - i = self.bounds[HORZ][0] - while i<=self.bounds[HORZ][1]: - self.labels[HORZ].append(str(i)) - i += float(self.bounds[HORZ][1] - self.bounds[HORZ][0])/10 - ScatterPlot.calc_labels(self) - - def render_plot(self): - if not self.discrete: - ScatterPlot.render_plot(self) - else: - last = None - cr = self.context - for number, group in enumerate (self.series): - cr.set_source_rgba(*self.series_colors[number][:4]) - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step - for data in group: - x = x0 + self.horizontal_step * data.content[0] - y = y0 + self.vertical_step * data.content[1] - cr.move_to(x, self.dimensions[VERT] - y) - cr.line_to(x, self.plot_top) - cr.set_line_width(self.series_widths[number]) - cr.stroke() - if self.dots: - cr.new_path() - cr.arc(x, self.dimensions[VERT] - y, 3, 0, 2.1 * math.pi) - cr.close_path() - cr.fill() - -class BarPlot(Plot): - def __init__(self, - surface = None, - data = None, - width = 640, - height = 480, - background = "white light_gray", - border = 0, - display_values = False, - grid = False, - rounded_corners = False, - stack = False, - three_dimension = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - series_colors = None, - main_dir = None): - - self.bounds = {} - self.bounds[HORZ] = x_bounds - self.bounds[VERT] = y_bounds - self.display_values = display_values - self.grid = grid - self.rounded_corners = rounded_corners - self.stack = stack - self.three_dimension = three_dimension - self.x_label_angle = math.pi / 2.5 - self.main_dir = main_dir - self.max_value = {} - self.plot_dimensions = {} - self.steps = {} - self.value_label_color = (0.5,0.5,0.5,1.0) - - Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors) - - def load_series(self, data, x_labels = None, y_labels = None, series_colors = None): - Plot.load_series(self, data, x_labels, y_labels, series_colors) - self.calc_boundaries() - - def process_colors(self, series_colors): - #Data for a BarPlot might be a List or a List of Lists. - #On the first case, colors must be generated for all bars, - #On the second, colors must be generated for each of the inner lists. - - #TODO: Didn't get it... - #if hasattr(self.data[0], '__getitem__'): - # length = max(len(series) for series in self.data) - #else: - # length = len( self.data ) - - length = max(len(group) for group in self.series) - - Plot.process_colors( self, series_colors, length, 'linear') - - def calc_boundaries(self): - if not self.bounds[self.main_dir]: - if self.stack: - max_data_value = max(sum(group.to_list()) for group in self.series) - else: - max_data_value = max(max(group.to_list()) for group in self.series) - self.bounds[self.main_dir] = (0, max_data_value) - if not self.bounds[other_direction(self.main_dir)]: - self.bounds[other_direction(self.main_dir)] = (0, len(self.series)) - - def calc_extents(self, direction): - self.max_value[direction] = 0 - if self.labels[direction]: - widest_word = max(self.labels[direction], key = lambda item: self.context.text_extents(item)[2]) - self.max_value[direction] = self.context.text_extents(widest_word)[3 - direction] - self.borders[other_direction(direction)] = (2-direction)*self.max_value[direction] + self.border + direction*(5) - else: - self.borders[other_direction(direction)] = self.border - - def calc_horz_extents(self): - self.calc_extents(HORZ) - - def calc_vert_extents(self): - self.calc_extents(VERT) - - def calc_all_extents(self): - self.calc_horz_extents() - self.calc_vert_extents() - other_dir = other_direction(self.main_dir) - self.value_label = 0 - if self.display_values: - if self.stack: - self.value_label = self.context.text_extents(str(max(sum(group.to_list()) for group in self.series)))[2 + self.main_dir] - else: - self.value_label = self.context.text_extents(str(max(max(group.to_list()) for group in self.series)))[2 + self.main_dir] - if self.labels[self.main_dir]: - self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - 2*self.borders[self.main_dir] - self.value_label - else: - self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - self.borders[self.main_dir] - 1.2*self.border - self.value_label - self.plot_dimensions[other_dir] = self.dimensions[other_dir] - self.borders[other_dir] - self.border - self.plot_top = self.dimensions[VERT] - self.borders[VERT] - - def calc_steps(self): - other_dir = other_direction(self.main_dir) - self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0] - if self.series_amplitude: - self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude - else: - self.steps[self.main_dir] = 0.00 - series_length = len(self.series) - self.steps[other_dir] = float(self.plot_dimensions[other_dir])/(series_length + 0.1*(series_length + 1)) - self.space = 0.1*self.steps[other_dir] - - def render(self): - self.calc_all_extents() - self.calc_steps() - self.render_background() - self.render_bounding_box() - if self.grid: - self.render_grid() - if self.three_dimension: - self.render_ground() - if self.display_values: - self.render_values() - self.render_labels() - self.render_plot() - if self.series_labels: - self.render_legend() - - def draw_3d_rectangle_front(self, x0, y0, x1, y1, shift): - self.context.rectangle(x0-shift, y0+shift, x1-x0, y1-y0) - - def draw_3d_rectangle_side(self, x0, y0, x1, y1, shift): - self.context.move_to(x1-shift,y0+shift) - self.context.line_to(x1, y0) - self.context.line_to(x1, y1) - self.context.line_to(x1-shift, y1+shift) - self.context.line_to(x1-shift, y0+shift) - self.context.close_path() - - def draw_3d_rectangle_top(self, x0, y0, x1, y1, shift): - self.context.move_to(x0-shift,y0+shift) - self.context.line_to(x0, y0) - self.context.line_to(x1, y0) - self.context.line_to(x1-shift, y0+shift) - self.context.line_to(x0-shift, y0+shift) - self.context.close_path() - - def draw_round_rectangle(self, x0, y0, x1, y1): - self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2) - self.context.line_to(x1-5, y0) - self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0) - self.context.line_to(x1, y1-5) - self.context.arc(x1-5, y1-5, 5, 0, math.pi/2) - self.context.line_to(x0+5, y1) - self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi) - self.context.line_to(x0, y0+5) - self.context.close_path() - - def render_ground(self): - self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT], - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10) - self.context.fill() - - self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT], - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10) - self.context.fill() - - self.draw_3d_rectangle_top (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT], - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10) - self.context.fill() - - def render_labels(self): - self.context.set_font_size(self.font_size * 0.8) - if self.labels[HORZ]: - self.render_horz_labels() - if self.labels[VERT]: - self.render_vert_labels() - - def render_legend(self): - cr = self.context - cr.set_font_size(self.font_size) - cr.set_line_width(self.line_width) - - widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2]) - tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3]) - max_width = self.context.text_extents(widest_word)[2] - max_height = self.context.text_extents(tallest_word)[3] * 1.1 + 5 - - color_box_height = max_height / 2 - color_box_width = color_box_height * 2 - - #Draw a bounding box - bounding_box_width = max_width + color_box_width + 15 - bounding_box_height = (len(self.series_labels)+0.5) * max_height - cr.set_source_rgba(1,1,1) - cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border, - bounding_box_width, bounding_box_height) - cr.fill() - - cr.set_source_rgba(*self.line_color) - cr.set_line_width(self.line_width) - cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border, - bounding_box_width, bounding_box_height) - cr.stroke() - - for idx,key in enumerate(self.series_labels): - #Draw color box - cr.set_source_rgba(*self.series_colors[idx][:4]) - cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10, - self.border + color_box_height + (idx*max_height) , - color_box_width, color_box_height) - cr.fill() - - cr.set_source_rgba(0, 0, 0) - cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10, - self.border + color_box_height + (idx*max_height), - color_box_width, color_box_height) - cr.stroke() - - #Draw series labels - cr.set_source_rgba(0, 0, 0) - cr.move_to(self.dimensions[HORZ] - self.border - max_width - 5, self.border + ((idx+1)*max_height)) - cr.show_text(key) - - -class HorizontalBarPlot(BarPlot): - def __init__(self, - surface = None, - data = None, - width = 640, - height = 480, - background = "white light_gray", - border = 0, - display_values = False, - grid = False, - rounded_corners = False, - stack = False, - three_dimension = False, - series_labels = None, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - series_colors = None): - - BarPlot.__init__(self, surface, data, width, height, background, border, - display_values, grid, rounded_corners, stack, three_dimension, - x_labels, y_labels, x_bounds, y_bounds, series_colors, HORZ) - self.series_labels = series_labels - - def calc_vert_extents(self): - self.calc_extents(VERT) - if self.labels[HORZ] and not self.labels[VERT]: - self.borders[HORZ] += 10 - - def draw_rectangle_bottom(self, x0, y0, x1, y1): - self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi) - self.context.line_to(x0, y0+5) - self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2) - self.context.line_to(x1, y0) - self.context.line_to(x1, y1) - self.context.line_to(x0+5, y1) - self.context.close_path() - - def draw_rectangle_top(self, x0, y0, x1, y1): - self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0) - self.context.line_to(x1, y1-5) - self.context.arc(x1-5, y1-5, 5, 0, math.pi/2) - self.context.line_to(x0, y1) - self.context.line_to(x0, y0) - self.context.line_to(x1, y0) - self.context.close_path() - - def draw_rectangle(self, index, length, x0, y0, x1, y1): - if length == 1: - BarPlot.draw_rectangle(self, x0, y0, x1, y1) - elif index == 0: - self.draw_rectangle_bottom(x0, y0, x1, y1) - elif index == length-1: - self.draw_rectangle_top(x0, y0, x1, y1) - else: - self.context.rectangle(x0, y0, x1-x0, y1-y0) - - #TODO: Review BarPlot.render_grid code - def render_grid(self): - self.context.set_source_rgba(0.8, 0.8, 0.8) - if self.labels[HORZ]: - self.context.set_font_size(self.font_size * 0.8) - step = (self.dimensions[HORZ] - 2*self.borders[HORZ] - self.value_label)/(len(self.labels[HORZ])-1) - x = self.borders[HORZ] - next_x = 0 - for item in self.labels[HORZ]: - width = self.context.text_extents(item)[2] - if x - width/2 > next_x and x - width/2 > self.border: - self.context.move_to(x, self.border) - self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT]) - self.context.stroke() - next_x = x + width/2 - x += step - else: - lines = 11 - horizontal_step = float(self.plot_dimensions[HORZ])/(lines-1) - x = self.borders[HORZ] - for y in xrange(0, lines): - self.context.move_to(x, self.border) - self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT]) - self.context.stroke() - x += horizontal_step - - def render_horz_labels(self): - step = (self.dimensions[HORZ] - 2*self.borders[HORZ])/(len(self.labels[HORZ])-1) - x = self.borders[HORZ] - next_x = 0 - - for item in self.labels[HORZ]: - self.context.set_source_rgba(*self.label_color) - width = self.context.text_extents(item)[2] - if x - width/2 > next_x and x - width/2 > self.border: - self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3) - self.context.show_text(item) - next_x = x + width/2 - x += step - - def render_vert_labels(self): - series_length = len(self.labels[VERT]) - step = (self.plot_dimensions[VERT] - (series_length + 1)*self.space)/(len(self.labels[VERT])) - y = self.border + step/2 + self.space - - for item in self.labels[VERT]: - self.context.set_source_rgba(*self.label_color) - width, height = self.context.text_extents(item)[2:4] - self.context.move_to(self.borders[HORZ] - width - 5, y + height/2) - self.context.show_text(item) - y += step + self.space - self.labels[VERT].reverse() - - def render_values(self): - self.context.set_source_rgba(*self.value_label_color) - self.context.set_font_size(self.font_size * 0.8) - if self.stack: - for i,group in enumerate(self.series): - value = sum(group.to_list()) - height = self.context.text_extents(str(value))[3] - x = self.borders[HORZ] + value*self.steps[HORZ] + 2 - y = self.borders[VERT] + (i+0.5)*self.steps[VERT] + (i+1)*self.space + height/2 - self.context.move_to(x, y) - self.context.show_text(str(value)) - else: - for i,group in enumerate(self.series): - inner_step = self.steps[VERT]/len(group) - y0 = self.border + i*self.steps[VERT] + (i+1)*self.space - for number,data in enumerate(group): - height = self.context.text_extents(str(data.content))[3] - self.context.move_to(self.borders[HORZ] + data.content*self.steps[HORZ] + 2, y0 + 0.5*inner_step + height/2, ) - self.context.show_text(str(data.content)) - y0 += inner_step - - def render_plot(self): - if self.stack: - for i,group in enumerate(self.series): - x0 = self.borders[HORZ] - y0 = self.borders[VERT] + i*self.steps[VERT] + (i+1)*self.space - for number,data in enumerate(group): - if self.series_colors[number][4] in ('radial','linear') : - linear = cairo.LinearGradient( data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + self.steps[VERT] ) - color = self.series_colors[number] - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0) - linear.add_color_stop_rgba(1.0, *color[:4]) - self.context.set_source(linear) - elif self.series_colors[number][4] == 'solid': - self.context.set_source_rgba(*self.series_colors[number][:4]) - if self.rounded_corners: - self.draw_rectangle(number, len(group), x0, y0, x0+data.content*self.steps[HORZ], y0+self.steps[VERT]) - self.context.fill() - else: - self.context.rectangle(x0, y0, data.content*self.steps[HORZ], self.steps[VERT]) - self.context.fill() - x0 += data.content*self.steps[HORZ] - else: - for i,group in enumerate(self.series): - inner_step = self.steps[VERT]/len(group) - x0 = self.borders[HORZ] - y0 = self.border + i*self.steps[VERT] + (i+1)*self.space - for number,data in enumerate(group): - linear = cairo.LinearGradient(data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + inner_step) - color = self.series_colors[number] - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0) - linear.add_color_stop_rgba(1.0, *color[:4]) - self.context.set_source(linear) - if self.rounded_corners and data.content != 0: - BarPlot.draw_round_rectangle(self,x0, y0, x0 + data.content*self.steps[HORZ], y0 + inner_step) - self.context.fill() - else: - self.context.rectangle(x0, y0, data.content*self.steps[HORZ], inner_step) - self.context.fill() - y0 += inner_step - -class VerticalBarPlot(BarPlot): - def __init__(self, - surface = None, - data = None, - width = 640, - height = 480, - background = "white light_gray", - border = 0, - display_values = False, - grid = False, - rounded_corners = False, - stack = False, - three_dimension = False, - series_labels = None, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - series_colors = None): - - BarPlot.__init__(self, surface, data, width, height, background, border, - display_values, grid, rounded_corners, stack, three_dimension, - x_labels, y_labels, x_bounds, y_bounds, series_colors, VERT) - self.series_labels = series_labels - - def calc_vert_extents(self): - self.calc_extents(VERT) - if self.labels[VERT] and not self.labels[HORZ]: - self.borders[VERT] += 10 - - def draw_rectangle_bottom(self, x0, y0, x1, y1): - self.context.move_to(x1,y1) - self.context.arc(x1-5, y1-5, 5, 0, math.pi/2) - self.context.line_to(x0+5, y1) - self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi) - self.context.line_to(x0, y0) - self.context.line_to(x1, y0) - self.context.line_to(x1, y1) - self.context.close_path() - - def draw_rectangle_top(self, x0, y0, x1, y1): - self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2) - self.context.line_to(x1-5, y0) - self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0) - self.context.line_to(x1, y1) - self.context.line_to(x0, y1) - self.context.line_to(x0, y0) - self.context.close_path() - - def draw_rectangle(self, index, length, x0, y0, x1, y1): - if length == 1: - BarPlot.draw_rectangle(self, x0, y0, x1, y1) - elif index == 0: - self.draw_rectangle_bottom(x0, y0, x1, y1) - elif index == length-1: - self.draw_rectangle_top(x0, y0, x1, y1) - else: - self.context.rectangle(x0, y0, x1-x0, y1-y0) - - def render_grid(self): - self.context.set_source_rgba(0.8, 0.8, 0.8) - if self.labels[VERT]: - lines = len(self.labels[VERT]) - vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1) - y = self.borders[VERT] + self.value_label - else: - lines = 11 - vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1) - y = 1.2*self.border + self.value_label - for x in xrange(0, lines): - self.context.move_to(self.borders[HORZ], y) - self.context.line_to(self.dimensions[HORZ] - self.border, y) - self.context.stroke() - y += vertical_step - - def render_ground(self): - self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT], - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10) - self.context.fill() - - self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT], - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10) - self.context.fill() - - self.draw_3d_rectangle_top (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT], - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10) - self.context.fill() - - def render_horz_labels(self): - series_length = len(self.labels[HORZ]) - step = float (self.plot_dimensions[HORZ] - (series_length + 1)*self.space)/len(self.labels[HORZ]) - x = self.borders[HORZ] + step/2 + self.space - next_x = 0 - - for item in self.labels[HORZ]: - self.context.set_source_rgba(*self.label_color) - width = self.context.text_extents(item)[2] - if x - width/2 > next_x and x - width/2 > self.borders[HORZ]: - self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3) - self.context.show_text(item) - next_x = x + width/2 - x += step + self.space - - def render_vert_labels(self): - self.context.set_source_rgba(*self.label_color) - y = self.borders[VERT] + self.value_label - step = (self.dimensions[VERT] - 2*self.borders[VERT] - self.value_label)/(len(self.labels[VERT]) - 1) - self.labels[VERT].reverse() - for item in self.labels[VERT]: - width, height = self.context.text_extents(item)[2:4] - self.context.move_to(self.borders[HORZ] - width - 5, y + height/2) - self.context.show_text(item) - y += step - self.labels[VERT].reverse() - - def render_values(self): - self.context.set_source_rgba(*self.value_label_color) - self.context.set_font_size(self.font_size * 0.8) - if self.stack: - for i,group in enumerate(self.series): - value = sum(group.to_list()) - width = self.context.text_extents(str(value))[2] - x = self.borders[HORZ] + (i+0.5)*self.steps[HORZ] + (i+1)*self.space - width/2 - y = value*self.steps[VERT] + 2 - self.context.move_to(x, self.plot_top-y) - self.context.show_text(str(value)) - else: - for i,group in enumerate(self.series): - inner_step = self.steps[HORZ]/len(group) - x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space - for number,data in enumerate(group): - width = self.context.text_extents(str(data.content))[2] - self.context.move_to(x0 + 0.5*inner_step - width/2, self.plot_top - data.content*self.steps[VERT] - 2) - self.context.show_text(str(data.content)) - x0 += inner_step - - def render_plot(self): - if self.stack: - for i,group in enumerate(self.series): - x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space - y0 = 0 - for number,data in enumerate(group): - if self.series_colors[number][4] in ('linear','radial'): - linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + self.steps[HORZ], data.content*self.steps[VERT]/2 ) - color = self.series_colors[number] - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0) - linear.add_color_stop_rgba(1.0, *color[:4]) - self.context.set_source(linear) - elif self.series_colors[number][4] == 'solid': - self.context.set_source_rgba(*self.series_colors[number][:4]) - if self.rounded_corners: - self.draw_rectangle(number, len(group), x0, self.plot_top - y0 - data.content*self.steps[VERT], x0 + self.steps[HORZ], self.plot_top - y0) - self.context.fill() - else: - self.context.rectangle(x0, self.plot_top - y0 - data.content*self.steps[VERT], self.steps[HORZ], data.content*self.steps[VERT]) - self.context.fill() - y0 += data.content*self.steps[VERT] - else: - for i,group in enumerate(self.series): - inner_step = self.steps[HORZ]/len(group) - y0 = self.borders[VERT] - x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space - for number,data in enumerate(group): - if self.series_colors[number][4] == 'linear': - linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + inner_step, data.content*self.steps[VERT]/2 ) - color = self.series_colors[number] - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0) - linear.add_color_stop_rgba(1.0, *color[:4]) - self.context.set_source(linear) - elif self.series_colors[number][4] == 'solid': - self.context.set_source_rgba(*self.series_colors[number][:4]) - if self.rounded_corners and data.content != 0: - BarPlot.draw_round_rectangle(self, x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top) - self.context.fill() - elif self.three_dimension: - self.draw_3d_rectangle_front(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5) - self.context.fill() - self.draw_3d_rectangle_side(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5) - self.context.fill() - self.draw_3d_rectangle_top(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5) - self.context.fill() - else: - self.context.rectangle(x0, self.plot_top - data.content*self.steps[VERT], inner_step, data.content*self.steps[VERT]) - self.context.fill() - - x0 += inner_step - -class StreamChart(VerticalBarPlot): - def __init__(self, - surface = None, - data = None, - width = 640, - height = 480, - background = "white light_gray", - border = 0, - grid = False, - series_legend = None, - x_labels = None, - x_bounds = None, - y_bounds = None, - series_colors = None): - - VerticalBarPlot.__init__(self, surface, data, width, height, background, border, - False, grid, False, True, False, - None, x_labels, None, x_bounds, y_bounds, series_colors) - - def calc_steps(self): - other_dir = other_direction(self.main_dir) - self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0] - if self.series_amplitude: - self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude - else: - self.steps[self.main_dir] = 0.00 - series_length = len(self.data) - self.steps[other_dir] = float(self.plot_dimensions[other_dir])/series_length - - def render_legend(self): - pass - - def ground(self, index): - sum_values = sum(self.data[index]) - return -0.5*sum_values - - def calc_angles(self): - middle = self.plot_top - self.plot_dimensions[VERT]/2.0 - self.angles = [tuple([0.0 for x in range(len(self.data)+1)])] - for x_index in range(1, len(self.data)-1): - t = [] - x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ] - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ] - y0 = middle - self.ground(x_index-1)*self.steps[VERT] - y2 = middle - self.ground(x_index+1)*self.steps[VERT] - t.append(math.atan(float(y0-y2)/(x0-x2))) - for data_index in range(len(self.data[x_index])): - x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ] - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ] - y0 = middle - self.ground(x_index-1)*self.steps[VERT] - self.data[x_index-1][data_index]*self.steps[VERT] - y2 = middle - self.ground(x_index+1)*self.steps[VERT] - self.data[x_index+1][data_index]*self.steps[VERT] - - for i in range(0,data_index): - y0 -= self.data[x_index-1][i]*self.steps[VERT] - y2 -= self.data[x_index+1][i]*self.steps[VERT] - - if data_index == len(self.data[0])-1 and False: - self.context.set_source_rgba(0.0,0.0,0.0,0.3) - self.context.move_to(x0,y0) - self.context.line_to(x2,y2) - self.context.stroke() - self.context.arc(x0,y0,2,0,2*math.pi) - self.context.fill() - t.append(math.atan(float(y0-y2)/(x0-x2))) - self.angles.append(tuple(t)) - self.angles.append(tuple([0.0 for x in range(len(self.data)+1)])) - - def render_plot(self): - self.calc_angles() - middle = self.plot_top - self.plot_dimensions[VERT]/2.0 - p = 0.4*self.steps[HORZ] - for data_index in range(len(self.data[0])-1,-1,-1): - self.context.set_source_rgba(*self.series_colors[data_index][:4]) - - #draw the upper line - for x_index in range(len(self.data)-1) : - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ] - y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT] - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ] - y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT] - - for i in range(0,data_index): - y1 -= self.data[x_index][i]*self.steps[VERT] - y2 -= self.data[x_index+1][i]*self.steps[VERT] - - if x_index == 0: - self.context.move_to(x1,y1) - - ang1 = self.angles[x_index][data_index+1] - ang2 = self.angles[x_index+1][data_index+1] + math.pi - self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1), - x2+p*math.cos(ang2),y2+p*math.sin(ang2), - x2,y2) - - for x_index in range(len(self.data)-1,0,-1) : - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ] - y1 = middle - self.ground(x_index)*self.steps[VERT] - x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ] - y2 = middle - self.ground(x_index - 1)*self.steps[VERT] - - for i in range(0,data_index): - y1 -= self.data[x_index][i]*self.steps[VERT] - y2 -= self.data[x_index-1][i]*self.steps[VERT] - - if x_index == len(self.data)-1: - self.context.line_to(x1,y1+2) - - #revert angles by pi degrees to take the turn back - ang1 = self.angles[x_index][data_index] + math.pi - ang2 = self.angles[x_index-1][data_index] - self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1), - x2+p*math.cos(ang2),y2+p*math.sin(ang2), - x2,y2+2) - - self.context.close_path() - self.context.fill() - - if False: - self.context.move_to(self.borders[HORZ] + 0.5*self.steps[HORZ], middle) - for x_index in range(len(self.data)-1) : - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ] - y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT] - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ] - y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT] - - for i in range(0,data_index): - y1 -= self.data[x_index][i]*self.steps[VERT] - y2 -= self.data[x_index+1][i]*self.steps[VERT] - - ang1 = self.angles[x_index][data_index+1] - ang2 = self.angles[x_index+1][data_index+1] + math.pi - self.context.set_source_rgba(1.0,0.0,0.0) - self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi) - self.context.fill() - self.context.set_source_rgba(0.0,0.0,0.0) - self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi) - self.context.fill() - '''self.context.set_source_rgba(0.0,0.0,0.0,0.3) - self.context.arc(x2,y2,2,0,2*math.pi) - self.context.fill()''' - self.context.move_to(x1,y1) - self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1)) - self.context.stroke() - self.context.move_to(x2,y2) - self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2)) - self.context.stroke() - if False: - for x_index in range(len(self.data)-1,0,-1) : - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ] - y1 = middle - self.ground(x_index)*self.steps[VERT] - x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ] - y2 = middle - self.ground(x_index - 1)*self.steps[VERT] - - for i in range(0,data_index): - y1 -= self.data[x_index][i]*self.steps[VERT] - y2 -= self.data[x_index-1][i]*self.steps[VERT] - - #revert angles by pi degrees to take the turn back - ang1 = self.angles[x_index][data_index] + math.pi - ang2 = self.angles[x_index-1][data_index] - self.context.set_source_rgba(0.0,1.0,0.0) - self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi) - self.context.fill() - self.context.set_source_rgba(0.0,0.0,1.0) - self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi) - self.context.fill() - '''self.context.set_source_rgba(0.0,0.0,0.0,0.3) - self.context.arc(x2,y2,2,0,2*math.pi) - self.context.fill()''' - self.context.move_to(x1,y1) - self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1)) - self.context.stroke() - self.context.move_to(x2,y2) - self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2)) - self.context.stroke() - #break - - #self.context.arc(self.dimensions[HORZ]/2, self.dimensions[VERT]/2,50,0,3*math.pi/2) - #self.context.fill() - - -class PiePlot(Plot): - #TODO: Check the old cairoplot, graphs aren't matching - def __init__ (self, - surface = None, - data = None, - width = 640, - height = 480, - background = "white light_gray", - gradient = False, - shadow = False, - colors = None): - - Plot.__init__( self, surface, data, width, height, background, series_colors = colors ) - self.center = (self.dimensions[HORZ]/2, self.dimensions[VERT]/2) - self.total = sum( self.series.to_list() ) - self.radius = min(self.dimensions[HORZ]/3,self.dimensions[VERT]/3) - self.gradient = gradient - self.shadow = shadow - - def sort_function(x,y): - return x.content - y.content - - def load_series(self, data, x_labels=None, y_labels=None, series_colors=None): - Plot.load_series(self, data, x_labels, y_labels, series_colors) - # Already done inside series - #self.data = sorted(self.data) - - def draw_piece(self, angle, next_angle): - self.context.move_to(self.center[0],self.center[1]) - self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle)) - self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle) - self.context.line_to(self.center[0], self.center[1]) - self.context.close_path() - - def render(self): - self.render_background() - self.render_bounding_box() - if self.shadow: - self.render_shadow() - self.render_plot() - self.render_series_labels() - - def render_shadow(self): - horizontal_shift = 3 - vertical_shift = 3 - self.context.set_source_rgba(0, 0, 0, 0.5) - self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, 2*math.pi) - self.context.fill() - - def render_series_labels(self): - angle = 0 - next_angle = 0 - x0,y0 = self.center - cr = self.context - for number,key in enumerate(self.series_labels): - # self.data[number] should be just a number - data = sum(self.series[number].to_list()) - - next_angle = angle + 2.0*math.pi*data/self.total - cr.set_source_rgba(*self.series_colors[number][:4]) - w = cr.text_extents(key)[2] - if (angle + next_angle)/2 < math.pi/2 or (angle + next_angle)/2 > 3*math.pi/2: - cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2), y0 + (self.radius+10)*math.sin((angle+next_angle)/2) ) - else: - cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2) - w, y0 + (self.radius+10)*math.sin((angle+next_angle)/2) ) - cr.show_text(key) - angle = next_angle - - def render_plot(self): - angle = 0 - next_angle = 0 - x0,y0 = self.center - cr = self.context - for number,group in enumerate(self.series): - # Group should be just a number - data = sum(group.to_list()) - next_angle = angle + 2.0*math.pi*data/self.total - if self.gradient or self.series_colors[number][4] in ('linear','radial'): - gradient_color = cairo.RadialGradient(self.center[0], self.center[1], 0, self.center[0], self.center[1], self.radius) - gradient_color.add_color_stop_rgba(0.3, *self.series_colors[number][:4]) - gradient_color.add_color_stop_rgba(1, self.series_colors[number][0]*0.7, - self.series_colors[number][1]*0.7, - self.series_colors[number][2]*0.7, - self.series_colors[number][3]) - cr.set_source(gradient_color) - else: - cr.set_source_rgba(*self.series_colors[number][:4]) - - self.draw_piece(angle, next_angle) - cr.fill() - - cr.set_source_rgba(1.0, 1.0, 1.0) - self.draw_piece(angle, next_angle) - cr.stroke() - - angle = next_angle - -class DonutPlot(PiePlot): - def __init__ (self, - surface = None, - data = None, - width = 640, - height = 480, - background = "white light_gray", - gradient = False, - shadow = False, - colors = None, - inner_radius=-1): - - Plot.__init__( self, surface, data, width, height, background, series_colors = colors ) - - self.center = ( self.dimensions[HORZ]/2, self.dimensions[VERT]/2 ) - self.total = sum( self.series.to_list() ) - self.radius = min( self.dimensions[HORZ]/3,self.dimensions[VERT]/3 ) - self.inner_radius = inner_radius*self.radius - - if inner_radius == -1: - self.inner_radius = self.radius/3 - - self.gradient = gradient - self.shadow = shadow - - def draw_piece(self, angle, next_angle): - self.context.move_to(self.center[0] + (self.inner_radius)*math.cos(angle), self.center[1] + (self.inner_radius)*math.sin(angle)) - self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle)) - self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle) - self.context.line_to(self.center[0] + (self.inner_radius)*math.cos(next_angle), self.center[1] + (self.inner_radius)*math.sin(next_angle)) - self.context.arc_negative(self.center[0], self.center[1], self.inner_radius, next_angle, angle) - self.context.close_path() - - def render_shadow(self): - horizontal_shift = 3 - vertical_shift = 3 - self.context.set_source_rgba(0, 0, 0, 0.5) - self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.inner_radius, 0, 2*math.pi) - self.context.arc_negative(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, -2*math.pi) - self.context.fill() - -class GanttChart (Plot) : - def __init__(self, - surface = None, - data = None, - width = 640, - height = 480, - x_labels = None, - y_labels = None, - colors = None): - self.bounds = {} - self.max_value = {} - Plot.__init__(self, surface, data, width, height, x_labels = x_labels, y_labels = y_labels, series_colors = colors) - - def load_series(self, data, x_labels=None, y_labels=None, series_colors=None): - Plot.load_series(self, data, x_labels, y_labels, series_colors) - self.calc_boundaries() - - def calc_boundaries(self): - self.bounds[HORZ] = (0,len(self.series)) - end_pos = max(self.series.to_list()) - - #for group in self.series: - # if hasattr(item, "__delitem__"): - # for sub_item in item: - # end_pos = max(sub_item) - # else: - # end_pos = max(item) - self.bounds[VERT] = (0,end_pos) - - def calc_extents(self, direction): - self.max_value[direction] = 0 - if self.labels[direction]: - self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction]) - else: - self.max_value[direction] = self.context.text_extents( str(self.bounds[direction][1] + 1) )[2] - - def calc_horz_extents(self): - self.calc_extents(HORZ) - self.borders[HORZ] = 100 + self.max_value[HORZ] - - def calc_vert_extents(self): - self.calc_extents(VERT) - self.borders[VERT] = self.dimensions[VERT]/(self.bounds[HORZ][1] + 1) - - def calc_steps(self): - self.horizontal_step = (self.dimensions[HORZ] - self.borders[HORZ])/(len(self.labels[VERT])) - self.vertical_step = self.borders[VERT] - - def render(self): - self.calc_horz_extents() - self.calc_vert_extents() - self.calc_steps() - self.render_background() - - self.render_labels() - self.render_grid() - self.render_plot() - - def render_background(self): - cr = self.context - cr.set_source_rgba(255,255,255) - cr.rectangle(0,0,self.dimensions[HORZ], self.dimensions[VERT]) - cr.fill() - for number,group in enumerate(self.series): - linear = cairo.LinearGradient(self.dimensions[HORZ]/2, self.borders[VERT] + number*self.vertical_step, - self.dimensions[HORZ]/2, self.borders[VERT] + (number+1)*self.vertical_step) - linear.add_color_stop_rgba(0,1.0,1.0,1.0,1.0) - linear.add_color_stop_rgba(1.0,0.9,0.9,0.9,1.0) - cr.set_source(linear) - cr.rectangle(0,self.borders[VERT] + number*self.vertical_step,self.dimensions[HORZ],self.vertical_step) - cr.fill() - - def render_grid(self): - cr = self.context - cr.set_source_rgba(0.7, 0.7, 0.7) - cr.set_dash((1,0,0,0,0,0,1)) - cr.set_line_width(0.5) - for number,label in enumerate(self.labels[VERT]): - h = cr.text_extents(label)[3] - cr.move_to(self.borders[HORZ] + number*self.horizontal_step, self.vertical_step/2 + h) - cr.line_to(self.borders[HORZ] + number*self.horizontal_step, self.dimensions[VERT]) - cr.stroke() - - def render_labels(self): - self.context.set_font_size(0.02 * self.dimensions[HORZ]) - - self.render_horz_labels() - self.render_vert_labels() - - def render_horz_labels(self): - cr = self.context - labels = self.labels[HORZ] - if not labels: - labels = [str(i) for i in range(1, self.bounds[HORZ][1] + 1) ] - for number,label in enumerate(labels): - if label != None: - cr.set_source_rgba(0.5, 0.5, 0.5) - w,h = cr.text_extents(label)[2], cr.text_extents(label)[3] - cr.move_to(40,self.borders[VERT] + number*self.vertical_step + self.vertical_step/2 + h/2) - cr.show_text(label) - - def render_vert_labels(self): - cr = self.context - labels = self.labels[VERT] - if not labels: - labels = [str(i) for i in range(1, self.bounds[VERT][1] + 1) ] - for number,label in enumerate(labels): - w,h = cr.text_extents(label)[2], cr.text_extents(label)[3] - cr.move_to(self.borders[HORZ] + number*self.horizontal_step - w/2, self.vertical_step/2) - cr.show_text(label) - - def render_rectangle(self, x0, y0, x1, y1, color): - self.draw_shadow(x0, y0, x1, y1) - self.draw_rectangle(x0, y0, x1, y1, color) - - def draw_rectangular_shadow(self, gradient, x0, y0, w, h): - self.context.set_source(gradient) - self.context.rectangle(x0,y0,w,h) - self.context.fill() - - def draw_circular_shadow(self, x, y, radius, ang_start, ang_end, mult, shadow): - gradient = cairo.RadialGradient(x, y, 0, x, y, 2*radius) - gradient.add_color_stop_rgba(0, 0, 0, 0, shadow) - gradient.add_color_stop_rgba(1, 0, 0, 0, 0) - self.context.set_source(gradient) - self.context.move_to(x,y) - self.context.line_to(x + mult[0]*radius,y + mult[1]*radius) - self.context.arc(x, y, 8, ang_start, ang_end) - self.context.line_to(x,y) - self.context.close_path() - self.context.fill() - - def draw_rectangle(self, x0, y0, x1, y1, color): - cr = self.context - middle = (x0+x1)/2 - linear = cairo.LinearGradient(middle,y0,middle,y1) - linear.add_color_stop_rgba(0,3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0) - linear.add_color_stop_rgba(1,*color[:4]) - cr.set_source(linear) - - cr.arc(x0+5, y0+5, 5, 0, 2*math.pi) - cr.arc(x1-5, y0+5, 5, 0, 2*math.pi) - cr.arc(x0+5, y1-5, 5, 0, 2*math.pi) - cr.arc(x1-5, y1-5, 5, 0, 2*math.pi) - cr.rectangle(x0+5,y0,x1-x0-10,y1-y0) - cr.rectangle(x0,y0+5,x1-x0,y1-y0-10) - cr.fill() - - def draw_shadow(self, x0, y0, x1, y1): - shadow = 0.4 - h_mid = (x0+x1)/2 - v_mid = (y0+y1)/2 - h_linear_1 = cairo.LinearGradient(h_mid,y0-4,h_mid,y0+4) - h_linear_2 = cairo.LinearGradient(h_mid,y1-4,h_mid,y1+4) - v_linear_1 = cairo.LinearGradient(x0-4,v_mid,x0+4,v_mid) - v_linear_2 = cairo.LinearGradient(x1-4,v_mid,x1+4,v_mid) - - h_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0) - h_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow) - h_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow) - h_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0) - v_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0) - v_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow) - v_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow) - v_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0) - - self.draw_rectangular_shadow(h_linear_1,x0+4,y0-4,x1-x0-8,8) - self.draw_rectangular_shadow(h_linear_2,x0+4,y1-4,x1-x0-8,8) - self.draw_rectangular_shadow(v_linear_1,x0-4,y0+4,8,y1-y0-8) - self.draw_rectangular_shadow(v_linear_2,x1-4,y0+4,8,y1-y0-8) - - self.draw_circular_shadow(x0+4, y0+4, 4, math.pi, 3*math.pi/2, (-1,0), shadow) - self.draw_circular_shadow(x1-4, y0+4, 4, 3*math.pi/2, 2*math.pi, (0,-1), shadow) - self.draw_circular_shadow(x0+4, y1-4, 4, math.pi/2, math.pi, (0,1), shadow) - self.draw_circular_shadow(x1-4, y1-4, 4, 0, math.pi/2, (1,0), shadow) - - def render_plot(self): - for index,group in enumerate(self.series): - for data in group: - self.render_rectangle(self.borders[HORZ] + data.content[0]*self.horizontal_step, - self.borders[VERT] + index*self.vertical_step + self.vertical_step/4.0, - self.borders[HORZ] + data.content[1]*self.horizontal_step, - self.borders[VERT] + index*self.vertical_step + 3.0*self.vertical_step/4.0, - self.series_colors[index]) - -# Function definition - -def scatter_plot(name, - data = None, - errorx = None, - errory = None, - width = 640, - height = 480, - background = "white light_gray", - border = 0, - axis = False, - dash = False, - discrete = False, - dots = False, - grid = False, - series_legend = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - z_bounds = None, - x_title = None, - y_title = None, - series_colors = None, - circle_colors = None): - - ''' - - Function to plot scatter data. - - - Parameters - - data - The values to be ploted might be passed in a two basic: - list of points: [(0,0), (0,1), (0,2)] or [(0,0,1), (0,1,4), (0,2,1)] - lists of coordinates: [ [0,0,0] , [0,1,2] ] or [ [0,0,0] , [0,1,2] , [1,4,1] ] - Notice that these kinds of that can be grouped in order to form more complex data - using lists of lists or dictionaries; - series_colors - Define color values for each of the series - circle_colors - Define a lower and an upper bound for the circle colors for variable radius - (3 dimensions) series - ''' - - plot = ScatterPlot( name, data, errorx, errory, width, height, background, border, - axis, dash, discrete, dots, grid, series_legend, x_labels, y_labels, - x_bounds, y_bounds, z_bounds, x_title, y_title, series_colors, circle_colors ) - plot.render() - plot.commit() - -def dot_line_plot(name, - data, - width, - height, - background = "white light_gray", - border = 0, - axis = False, - dash = False, - dots = False, - grid = False, - series_legend = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - x_title = None, - y_title = None, - series_colors = None): - ''' - - Function to plot graphics using dots and lines. - - dot_line_plot (name, data, width, height, background = "white light_gray", border = 0, axis = False, grid = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None) - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtim; - data - The list, list of lists or dictionary holding the data to be plotted; - width, height - Dimensions of the output image; - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient. - If left None, a gray to white gradient will be generated; - border - Distance in pixels of a square border into which the graphics will be drawn; - axis - Whether or not the axis are to be drawn; - dash - Boolean or a list or a dictionary of booleans indicating whether or not the associated series should be drawn in dashed mode; - dots - Whether or not dots should be drawn on each point; - grid - Whether or not the gris is to be drawn; - series_legend - Whether or not the legend is to be drawn; - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis; - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted; - x_title - Whether or not to plot a title over the x axis. - y_title - Whether or not to plot a title over the y axis. - - - Examples of use - - data = [0, 1, 3, 8, 9, 0, 10, 10, 2, 1] - CairoPlot.dot_line_plot('teste', data, 400, 300) - - data = { "john" : [10, 10, 10, 10, 30], "mary" : [0, 0, 3, 5, 15], "philip" : [13, 32, 11, 25, 2] } - x_labels = ["jan/2008", "feb/2008", "mar/2008", "apr/2008", "may/2008" ] - CairoPlot.dot_line_plot( 'test', data, 400, 300, axis = True, grid = True, - series_legend = True, x_labels = x_labels ) - ''' - plot = DotLinePlot( name, data, width, height, background, border, - axis, dash, dots, grid, series_legend, x_labels, y_labels, - x_bounds, y_bounds, x_title, y_title, series_colors ) - plot.render() - plot.commit() - -def function_plot(name, - data, - width, - height, - background = "white light_gray", - border = 0, - axis = True, - dots = False, - discrete = False, - grid = False, - series_legend = False, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - x_title = None, - y_title = None, - series_colors = None, - step = 1): - - ''' - - Function to plot functions. - - function_plot(name, data, width, height, background = "white light_gray", border = 0, axis = True, grid = False, dots = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None, step = 1, discrete = False) - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtim; - data - The list, list of lists or dictionary holding the data to be plotted; - width, height - Dimensions of the output image; - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient. - If left None, a gray to white gradient will be generated; - border - Distance in pixels of a square border into which the graphics will be drawn; - axis - Whether or not the axis are to be drawn; - grid - Whether or not the gris is to be drawn; - dots - Whether or not dots should be shown at each point; - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis; - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted; - step - the horizontal distance from one point to the other. The smaller, the smoother the curve will be; - discrete - whether or not the function should be plotted in discrete format. - - - Example of use - - data = lambda x : x**2 - CairoPlot.function_plot('function4', data, 400, 300, grid = True, x_bounds=(-10,10), step = 0.1) - ''' - - plot = FunctionPlot( name, data, width, height, background, border, - axis, discrete, dots, grid, series_legend, x_labels, y_labels, - x_bounds, y_bounds, x_title, y_title, series_colors, step ) - plot.render() - plot.commit() - -def pie_plot( name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None ): - - ''' - - Function to plot pie graphics. - - pie_plot(name, data, width, height, background = "white light_gray", gradient = False, colors = None) - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtim; - data - The list, list of lists or dictionary holding the data to be plotted; - width, height - Dimensions of the output image; - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient. - If left None, a gray to white gradient will be generated; - gradient - Whether or not the pie color will be painted with a gradient; - shadow - Whether or not there will be a shadow behind the pie; - colors - List of slices colors. - - - Example of use - - teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235} - CairoPlot.pie_plot("pie_teste", teste_data, 500, 500) - ''' - - plot = PiePlot( name, data, width, height, background, gradient, shadow, colors ) - plot.render() - plot.commit() - -def donut_plot(name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None, inner_radius = -1): - - ''' - - Function to plot donut graphics. - - donut_plot(name, data, width, height, background = "white light_gray", gradient = False, inner_radius = -1) - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtim; - data - The list, list of lists or dictionary holding the data to be plotted; - width, height - Dimensions of the output image; - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient. - If left None, a gray to white gradient will be generated; - shadow - Whether or not there will be a shadow behind the donut; - gradient - Whether or not the donut color will be painted with a gradient; - colors - List of slices colors; - inner_radius - The radius of the donut's inner circle. - - - Example of use - - teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235} - CairoPlot.donut_plot("donut_teste", teste_data, 500, 500) - ''' - - plot = DonutPlot(name, data, width, height, background, gradient, shadow, colors, inner_radius) - plot.render() - plot.commit() - -def gantt_chart(name, pieces, width, height, x_labels, y_labels, colors): - - ''' - - Function to generate Gantt Charts. - - gantt_chart(name, pieces, width, height, x_labels, y_labels, colors): - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtim; - pieces - A list defining the spaces to be drawn. The user must pass, for each line, the index of its start and the index of its end. If a line must have two or more spaces, they must be passed inside a list; - width, height - Dimensions of the output image; - x_labels - A list of names for each of the vertical lines; - y_labels - A list of names for each of the horizontal spaces; - colors - List containing the colors expected for each of the horizontal spaces - - - Example of use - - pieces = [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,8)] - x_labels = [ 'teste01', 'teste02', 'teste03', 'teste04'] - y_labels = [ '0001', '0002', '0003', '0004', '0005', '0006', '0007', '0008', '0009', '0010' ] - colors = [ (1.0, 0.0, 0.0), (1.0, 0.7, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0) ] - CairoPlot.gantt_chart('gantt_teste', pieces, 600, 300, x_labels, y_labels, colors) - ''' - - plot = GanttChart(name, pieces, width, height, x_labels, y_labels, colors) - plot.render() - plot.commit() - -def vertical_bar_plot(name, - data, - width, - height, - background = "white light_gray", - border = 0, - display_values = False, - grid = False, - rounded_corners = False, - stack = False, - three_dimension = False, - series_labels = None, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - colors = None): - #TODO: Fix docstring for vertical_bar_plot - ''' - - Function to generate vertical Bar Plot Charts. - - bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension, - x_labels, y_labels, x_bounds, y_bounds, colors): - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtime; - data - The list, list of lists or dictionary holding the data to be plotted; - width, height - Dimensions of the output image; - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient. - If left None, a gray to white gradient will be generated; - border - Distance in pixels of a square border into which the graphics will be drawn; - grid - Whether or not the gris is to be drawn; - rounded_corners - Whether or not the bars should have rounded corners; - three_dimension - Whether or not the bars should be drawn in pseudo 3D; - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis; - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted; - colors - List containing the colors expected for each of the bars. - - - Example of use - - data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] - CairoPlot.vertical_bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False) - ''' - - plot = VerticalBarPlot(name, data, width, height, background, border, - display_values, grid, rounded_corners, stack, three_dimension, - series_labels, x_labels, y_labels, x_bounds, y_bounds, colors) - plot.render() - plot.commit() - -def horizontal_bar_plot(name, - data, - width, - height, - background = "white light_gray", - border = 0, - display_values = False, - grid = False, - rounded_corners = False, - stack = False, - three_dimension = False, - series_labels = None, - x_labels = None, - y_labels = None, - x_bounds = None, - y_bounds = None, - colors = None): - - #TODO: Fix docstring for horizontal_bar_plot - ''' - - Function to generate Horizontal Bar Plot Charts. - - bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension, - x_labels, y_labels, x_bounds, y_bounds, colors): - - - Parameters - - name - Name of the desired output file, no need to input the .svg as it will be added at runtime; - data - The list, list of lists or dictionary holding the data to be plotted; - width, height - Dimensions of the output image; - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient. - If left None, a gray to white gradient will be generated; - border - Distance in pixels of a square border into which the graphics will be drawn; - grid - Whether or not the gris is to be drawn; - rounded_corners - Whether or not the bars should have rounded corners; - three_dimension - Whether or not the bars should be drawn in pseudo 3D; - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis; - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted; - colors - List containing the colors expected for each of the bars. - - - Example of use - - data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] - CairoPlot.bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False) - ''' - - plot = HorizontalBarPlot(name, data, width, height, background, border, - display_values, grid, rounded_corners, stack, three_dimension, - series_labels, x_labels, y_labels, x_bounds, y_bounds, colors) - plot.render() - plot.commit() - -def stream_chart(name, - data, - width, - height, - background = "white light_gray", - border = 0, - grid = False, - series_legend = None, - x_labels = None, - x_bounds = None, - y_bounds = None, - colors = None): - - #TODO: Fix docstring for horizontal_bar_plot - plot = StreamChart(name, data, width, height, background, border, - grid, series_legend, x_labels, x_bounds, y_bounds, colors) - plot.render() - plot.commit() - - -if __name__ == "__main__": - import tests - import seriestests diff --git a/invoice/graph/graphs.py b/invoice/graph/graphs.py deleted file mode 100755 index b59b7e1..0000000 --- a/invoice/graph/graphs.py +++ /dev/null @@ -1,223 +0,0 @@ -#!/usr/bin/python -# -*- coding: utf-8 -*- -import cairoplot, datetime, sqlite3, time - -def TortendiagramUser(): - data = {} - now = int(time.time()) - - query = "SELECT users.id, SUM(memberprice) FROM users, purchases purch, prices \ - WHERE users.id = purch.user AND purch.product = prices.product AND \ - purch.timestamp > ? AND purch.timestamp < ? AND prices.valid_from = \ - (SELECT valid_from FROM prices WHERE product = purch.product AND \ - valid_from < purch.timestamp ORDER BY valid_from DESC LIMIT 1) \ - GROUP BY users.id" - - connection = sqlite3.connect('shop.db') - c = connection.cursor() - c.execute(query, (0, now)) - for row in c: - data["%d (%d.%d Euro)" %(row[0], row[1] / 100, row[1] % 100)] = row[1] - c.close() - - cairoplot.pie_plot("tortendiagram", data, 640, 480) - -def BalkendiagramUserRanking(): - data = {} - names = [] - now = int(time.time()) - - query = "SELECT firstname, lastname, SUM(memberprice) FROM users, purchases purch, prices \ - WHERE users.id = purch.user AND purch.product = prices.product AND \ - purch.timestamp > ? AND purch.timestamp < ? AND prices.valid_from = \ - (SELECT valid_from FROM prices WHERE product = purch.product AND \ - valid_from < purch.timestamp ORDER BY valid_from DESC LIMIT 1) \ - GROUP BY users.id" - - connection = sqlite3.connect('shop.db') - c = connection.cursor() - c.execute(query, (0, now)) - for row in c: - data["%s %s (%d.%d Euro)" % (row[0], row[1], row[2] / 100, row[2] % 100)] = row[2] - c.close() - - count=0 - sorted_data = [] - for key, value in sorted(data.iteritems(), key=lambda (k,v): (v,k), reverse=True): - sorted_data.append(value) - names.append(key) - count+=1 - if count >= 10: - break - - cairoplot.horizontal_bar_plot("ranking", sorted_data, 640, 480, y_labels = names, rounded_corners = True, grid = True) - -def TortendiagramProduct(): - data = {} - - connection = sqlite3.connect('shop.db') - c = connection.cursor() - c.execute("SELECT products.name, SUM(1) FROM products, purchases " + - "WHERE products.id = purchases.product GROUP BY products.id") - for row in c: - data[row[0]] = row[1] - c.close() - - cairoplot.pie_plot("tortendiagram2", data, 640, 480) - -def Lagerbestand(category): - data = {} - - day = 24 * 60 * 60 - interval = 21 - now = int(time.time()) - - dates = [] - dt = datetime.datetime.fromtimestamp(now) - dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) - - colors = [ - "black", - "red", - "green", - "blue", - "orange", - (117/255.0, 255/255.0, 20/255.0), - (216/255.0, 20/255.0, 255/255.0), - (204/255.0, 153/255.0, 0/255.0), - (0/255.0, 204/255.0, 255/255.0), - (153/255.0, 77/255.0, 0/255.0), - (128/255.0, 0/255.0, 128/255.0), - (204/255.0, 0/255.0, 0/255.0), - (0/255.0, 0/255.0, 102/255.0), - "yellow", - ] - - connection = sqlite3.connect('shop.db') - c = connection.cursor() - query = "" - name = "" - numbers = [] - - if category == "getraenke": - query = "name LIKE '%Mate%' OR name LIKE '%Apfelsaft%' OR name LIKE '%Fritz%' OR name LIKE '%Coca Cola%' OR name LIKE '%Vilsa%' OR name = 'Fanta' OR name = 'Sprite'" - elif category == "haribo": - query = "name LIKE '%Haribo%'" - elif category == "haribo_total": - query = "name LIKE '%Haribo%'" - name = "Haribo" - interval = 4*7 - elif category == "riegel": - query = "name LIKE '%KitKat%' OR name = 'Lion' OR name LIKE '%Snickers%' OR name = 'Mars' OR name = 'Twix' OR name = 'Duplo'" - elif category == "other": - query = "name LIKE '%Gouda%' OR name LIKE '%Chipsfrisch%' OR name LIKE '%Sesamsticks%'" - elif category == "schoko": - query = "name = 'Ü-Ei' OR name LIKE '%Tender%' OR name = 'Knoppers' OR name LIKE '%m&m%'" - elif category == "balisto": - query = "name LIKE '%Balisto%'" - else: - return - - c.execute("SELECT name, amount FROM products WHERE (%s) AND amount > 0" % query); - for row in c: - data[row[0]] = [int(row[1])] - - current = now - currentid = 1 - while current > (now - interval * day): - for k, v in data.iteritems(): - data[k].append(v[-1]) - - dt = datetime.datetime.fromtimestamp(current - day) - dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) - - c.execute("SELECT name, SUM(restock.amount) FROM products, restock WHERE products.id = restock.product AND timestamp > ? AND timestamp < ? GROUP BY name", (current - day, current)); - for row in c: - if row[0] in data: - data[row[0]][currentid] -= row[1] - c.execute("SELECT name, SUM(1) FROM products, purchases WHERE products.id = purchases.product AND timestamp > ? AND timestamp < ? GROUP BY name", (current - day, current)); - for row in c: - if row[0] in data: - data[row[0]][currentid] += row[1] - - current -= day - currentid += 1 - - for k, v in data.iteritems(): - data[k].reverse() - dates.reverse() - - c.close() - - result = {} - if name == "": - result = data - else: - result[name] = [0]*interval; - for product in data: - for i in range(0,interval): - result[name][i] += data[product][i] - - cairoplot.dot_line_plot("lagerbestand_%s" % category, result, 640, 480, series_colors = colors, x_labels = dates, y_title = "Anzahl", axis=True, grid=True, series_legend = True) - -def TotalPurchasesPerDay(): - day = 24 * 60 * 60 - now = int(time.time()) - - colors = [ - "black", - ] - - dates = [] - dt = datetime.datetime.fromtimestamp(now) - dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) - - connection = sqlite3.connect('shop.db') - c = connection.cursor() - query = "SELECT SUM(memberprice) FROM purchases purch, prices WHERE purch.product = prices.product AND purch.user > 0 AND purch.timestamp > ? AND purch.timestamp < ? AND prices.valid_from = (SELECT valid_from FROM prices WHERE product = purch.product AND valid_from < purch.timestamp ORDER BY valid_from DESC LIMIT 1)" - - current = now - data = [] - while current > (now - 42 * day): - c.execute(query, (current-day, current)) - - dt = datetime.datetime.fromtimestamp(current - day) - dates.append("%04d-%02d-%02d" % (dt.year, dt.month, dt.day)) - - for row in c: - amount = row[0] or 0 - data.append(int(amount)/100.0) - - current -= day - - data.reverse() - dates.reverse() - - c.execute(query, (0, now)) - total = c.fetchone()[0] - - dt = datetime.datetime.fromtimestamp(now) - start = dt.replace(hour = 8, minute = 0, second = 0, day = 16) - if start > dt: - start = start.replace(month = start.month - 1) - c.execute(query, (start.strftime("%s"), now)) - month = c.fetchone()[0] - - c.close() - - print "Total sales: %.2f€" % (total / 100.0) - print "Total sales this month: %.2f€" % (month / 100.0) - print "Average per day (last 42 days): %.2f€" % (sum(data)/len(data)) - - cairoplot.dot_line_plot("total_sales_per_day", data, 640, 480, series_colors = colors, x_labels = dates, y_title = "Euro", axis=True, grid=True) - -TortendiagramUser() -BalkendiagramUserRanking() - -TortendiagramProduct() - -data = [ "getraenke", "haribo", "haribo_total", "riegel", "other", "schoko", "balisto" ] -for x in data: - Lagerbestand(x) - -TotalPurchasesPerDay() diff --git a/invoice/graph/series.py b/invoice/graph/series.py deleted file mode 100755 index 157ab3d..0000000 --- a/invoice/graph/series.py +++ /dev/null @@ -1,1140 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- - -# Serie.py -# -# Copyright (c) 2008 Magnun Leno da Silva -# -# Author: Magnun Leno da Silva <magnun.leno@gmail.com> -# -# This program is free software; you can redistribute it and/or -# modify it under the terms of the GNU Lesser General Public License -# as published by the Free Software Foundation; either version 2 of -# the License, or (at your option) any later version. -# -# This program is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU Lesser General Public -# License along with this program; if not, write to the Free Software -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 -# USA - -# Contributor: Rodrigo Moreiro Araujo <alf.rodrigo@gmail.com> - -#import cairoplot -import doctest - -NUMTYPES = (int, float, long) -LISTTYPES = (list, tuple) -STRTYPES = (str, unicode) -FILLING_TYPES = ['linear', 'solid', 'gradient'] -DEFAULT_COLOR_FILLING = 'solid' -#TODO: Define default color list -DEFAULT_COLOR_LIST = None - -class Data(object): - ''' - Class that models the main data structure. - It can hold: - - a number type (int, float or long) - - a tuple, witch represents a point and can have 2 or 3 items (x,y,z) - - if a list is passed it will be converted to a tuple. - - obs: In case a tuple is passed it will convert to tuple - ''' - def __init__(self, data=None, name=None, parent=None): - ''' - Starts main atributes from the Data class - @name - Name for each point; - @content - The real data, can be an int, float, long or tuple, which - represents a point (x,y) or (x,y,z); - @parent - A pointer that give the data access to it's parent. - - Usage: - >>> d = Data(name='empty'); print d - empty: () - >>> d = Data((1,1),'point a'); print d - point a: (1, 1) - >>> d = Data((1,2,3),'point b'); print d - point b: (1, 2, 3) - >>> d = Data([2,3],'point c'); print d - point c: (2, 3) - >>> d = Data(12, 'simple value'); print d - simple value: 12 - ''' - # Initial values - self.__content = None - self.__name = None - - # Setting passed values - self.parent = parent - self.name = name - self.content = data - - # Name property - @apply - def name(): - doc = ''' - Name is a read/write property that controls the input of name. - - If passed an invalid value it cleans the name with None - - Usage: - >>> d = Data(13); d.name = 'name_test'; print d - name_test: 13 - >>> d.name = 11; print d - 13 - >>> d.name = 'other_name'; print d - other_name: 13 - >>> d.name = None; print d - 13 - >>> d.name = 'last_name'; print d - last_name: 13 - >>> d.name = ''; print d - 13 - ''' - def fget(self): - ''' - returns the name as a string - ''' - return self.__name - - def fset(self, name): - ''' - Sets the name of the Data - ''' - if type(name) in STRTYPES and len(name) > 0: - self.__name = name - else: - self.__name = None - - - - return property(**locals()) - - # Content property - @apply - def content(): - doc = ''' - Content is a read/write property that validate the data passed - and return it. - - Usage: - >>> d = Data(); d.content = 13; d.content - 13 - >>> d = Data(); d.content = (1,2); d.content - (1, 2) - >>> d = Data(); d.content = (1,2,3); d.content - (1, 2, 3) - >>> d = Data(); d.content = [1,2,3]; d.content - (1, 2, 3) - >>> d = Data(); d.content = [1.5,.2,3.3]; d.content - (1.5, 0.20000000000000001, 3.2999999999999998) - ''' - def fget(self): - ''' - Return the content of Data - ''' - return self.__content - - def fset(self, data): - ''' - Ensures that data is a valid tuple/list or a number (int, float - or long) - ''' - # Type: None - if data is None: - self.__content = None - return - - # Type: Int or Float - elif type(data) in NUMTYPES: - self.__content = data - - # Type: List or Tuple - elif type(data) in LISTTYPES: - # Ensures the correct size - if len(data) not in (2, 3): - raise TypeError, "Data (as list/tuple) must have 2 or 3 items" - return - - # Ensures that all items in list/tuple is a number - isnum = lambda x : type(x) not in NUMTYPES - - if max(map(isnum, data)): - # An item in data isn't an int or a float - raise TypeError, "All content of data must be a number (int or float)" - - # Convert the tuple to list - if type(data) is list: - data = tuple(data) - - # Append a copy and sets the type - self.__content = data[:] - - # Unknown type! - else: - self.__content = None - raise TypeError, "Data must be an int, float or a tuple with two or three items" - return - - return property(**locals()) - - - def clear(self): - ''' - Clear the all Data (content, name and parent) - ''' - self.content = None - self.name = None - self.parent = None - - def copy(self): - ''' - Returns a copy of the Data structure - ''' - # The copy - new_data = Data() - if self.content is not None: - # If content is a point - if type(self.content) is tuple: - new_data.__content = self.content[:] - - # If content is a number - else: - new_data.__content = self.content - - # If it has a name - if self.name is not None: - new_data.__name = self.name - - return new_data - - def __str__(self): - ''' - Return a string representation of the Data structure - ''' - if self.name is None: - if self.content is None: - return '' - return str(self.content) - else: - if self.content is None: - return self.name+": ()" - return self.name+": "+str(self.content) - - def __len__(self): - ''' - Return the length of the Data. - - If it's a number return 1; - - If it's a list return it's length; - - If its None return 0. - ''' - if self.content is None: - return 0 - elif type(self.content) in NUMTYPES: - return 1 - return len(self.content) - - - - -class Group(object): - ''' - Class that models a group of data. Every value (int, float, long, tuple - or list) passed is converted to a list of Data. - It can receive: - - A single number (int, float, long); - - A list of numbers; - - A tuple of numbers; - - An instance of Data; - - A list of Data; - - Obs: If a tuple with 2 or 3 items is passed it is converted to a point. - If a tuple with only 1 item is passed it's converted to a number; - If a tuple with more than 2 items is passed it's converted to a - list of numbers - ''' - def __init__(self, group=None, name=None, parent=None): - ''' - Starts main atributes in Group instance. - @data_list - a list of data which forms the group; - @range - a range that represent the x axis of possible functions; - @name - name of the data group; - @parent - the Serie parent of this group. - - Usage: - >>> g = Group(13, 'simple number'); print g - simple number ['13'] - >>> g = Group((1,2), 'simple point'); print g - simple point ['(1, 2)'] - >>> g = Group([1,2,3,4], 'list of numbers'); print g - list of numbers ['1', '2', '3', '4'] - >>> g = Group((1,2,3,4),'int in tuple'); print g - int in tuple ['1', '2', '3', '4'] - >>> g = Group([(1,2),(2,3),(3,4)], 'list of points'); print g - list of points ['(1, 2)', '(2, 3)', '(3, 4)'] - >>> g = Group([[1,2,3],[1,2,3]], '2D coordinate lists'); print g - 2D coordinated lists ['(1, 1)', '(2, 2)', '(3, 3)'] - >>> g = Group([[1,2],[1,2],[1,2]], '3D coordinate lists'); print g - 3D coordinated lists ['(1, 1, 1)', '(2, 2, 2)'] - ''' - # Initial values - self.__data_list = [] - self.__range = [] - self.__name = None - - - self.parent = parent - self.name = name - self.data_list = group - - # Name property - @apply - def name(): - doc = ''' - Name is a read/write property that controls the input of name. - - If passed an invalid value it cleans the name with None - - Usage: - >>> g = Group(13); g.name = 'name_test'; print g - name_test ['13'] - >>> g.name = 11; print g - ['13'] - >>> g.name = 'other_name'; print g - other_name ['13'] - >>> g.name = None; print g - ['13'] - >>> g.name = 'last_name'; print g - last_name ['13'] - >>> g.name = ''; print g - ['13'] - ''' - def fget(self): - ''' - Returns the name as a string - ''' - return self.__name - - def fset(self, name): - ''' - Sets the name of the Group - ''' - if type(name) in STRTYPES and len(name) > 0: - self.__name = name - else: - self.__name = None - - return property(**locals()) - - # data_list property - @apply - def data_list(): - doc = ''' - The data_list is a read/write property that can be a list of - numbers, a list of points or a list of 2 or 3 coordinate lists. This - property uses mainly the self.add_data method. - - Usage: - >>> g = Group(); g.data_list = 13; print g - ['13'] - >>> g.data_list = (1,2); print g - ['(1, 2)'] - >>> g.data_list = Data((1,2),'point a'); print g - ['point a: (1, 2)'] - >>> g.data_list = [1,2,3]; print g - ['1', '2', '3'] - >>> g.data_list = (1,2,3,4); print g - ['1', '2', '3', '4'] - >>> g.data_list = [(1,2),(2,3),(3,4)]; print g - ['(1, 2)', '(2, 3)', '(3, 4)'] - >>> g.data_list = [[1,2],[1,2]]; print g - ['(1, 1)', '(2, 2)'] - >>> g.data_list = [[1,2],[1,2],[1,2]]; print g - ['(1, 1, 1)', '(2, 2, 2)'] - >>> g.range = (10); g.data_list = lambda x:x**2; print g - ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)'] - ''' - def fget(self): - ''' - Returns the value of data_list - ''' - return self.__data_list - - def fset(self, group): - ''' - Ensures that group is valid. - ''' - # None - if group is None: - self.__data_list = [] - - # Int/float/long or Instance of Data - elif type(group) in NUMTYPES or isinstance(group, Data): - # Clean data_list - self.__data_list = [] - self.add_data(group) - - # One point - elif type(group) is tuple and len(group) in (2,3): - self.__data_list = [] - self.add_data(group) - - # list of items - elif type(group) in LISTTYPES and type(group[0]) is not list: - # Clean data_list - self.__data_list = [] - for item in group: - # try to append and catch an exception - self.add_data(item) - - # function lambda - elif callable(group): - # Explicit is better than implicit - function = group - # Has range - if len(self.range) is not 0: - # Clean data_list - self.__data_list = [] - # Generate values for the lambda function - for x in self.range: - #self.add_data((x,round(group(x),2))) - self.add_data((x,function(x))) - - # Only have range in parent - elif self.parent is not None and len(self.parent.range) is not 0: - # Copy parent range - self.__range = self.parent.range[:] - # Clean data_list - self.__data_list = [] - # Generate values for the lambda function - for x in self.range: - #self.add_data((x,round(group(x),2))) - self.add_data((x,function(x))) - - # Don't have range anywhere - else: - # x_data don't exist - raise Exception, "Data argument is valid but to use function type please set x_range first" - - # Coordinate Lists - elif type(group) in LISTTYPES and type(group[0]) is list: - # Clean data_list - self.__data_list = [] - data = [] - if len(group) == 3: - data = zip(group[0], group[1], group[2]) - elif len(group) == 2: - data = zip(group[0], group[1]) - else: - raise TypeError, "Only one list of coordinates was received." - - for item in data: - self.add_data(item) - - else: - raise TypeError, "Group type not supported" - - return property(**locals()) - - @apply - def range(): - doc = ''' - The range is a read/write property that generates a range of values - for the x axis of the functions. When passed a tuple it almost works - like the built-in range funtion: - - 1 item, represent the end of the range started from 0; - - 2 items, represents the start and the end, respectively; - - 3 items, the last one represents the step; - - When passed a list the range function understands as a valid range. - - Usage: - >>> g = Group(); g.range = 10; print g.range - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] - >>> g = Group(); g.range = (5); print g.range - [0.0, 1.0, 2.0, 3.0, 4.0] - >>> g = Group(); g.range = (1,7); print g.range - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] - >>> g = Group(); g.range = (0,10,2); print g.range - [0.0, 2.0, 4.0, 6.0, 8.0] - >>> - >>> g = Group(); g.range = [0]; print g.range - [0.0] - >>> g = Group(); g.range = [0,10,20]; print g.range - [0.0, 10.0, 20.0] - ''' - def fget(self): - ''' - Returns the range - ''' - return self.__range - - def fset(self, x_range): - ''' - Controls the input of a valid type and generate the range - ''' - # if passed a simple number convert to tuple - if type(x_range) in NUMTYPES: - x_range = (x_range,) - - # A list, just convert to float - if type(x_range) is list and len(x_range) > 0: - # Convert all to float - x_range = map(float, x_range) - # Prevents repeated values and convert back to list - self.__range = list(set(x_range[:])) - # Sort the list to ascending order - self.__range.sort() - - # A tuple, must check the lengths and generate the values - elif type(x_range) is tuple and len(x_range) in (1,2,3): - # Convert all to float - x_range = map(float, x_range) - - # Inital values - start = 0.0 - step = 1.0 - end = 0.0 - - # Only the end and it can't be less or iqual to 0 - if len(x_range) is 1 and x_range > 0: - end = x_range[0] - - # The start and the end but the start must be less then the end - elif len(x_range) is 2 and x_range[0] < x_range[1]: - start = x_range[0] - end = x_range[1] - - # All 3, but the start must be less then the end - elif x_range[0] <= x_range[1]: - start = x_range[0] - end = x_range[1] - step = x_range[2] - - # Starts the range - self.__range = [] - # Generate the range - # Can't use the range function because it doesn't support float values - while start < end: - self.__range.append(start) - start += step - - # Incorrect type - else: - raise Exception, "x_range must be a list with one or more items or a tuple with 2 or 3 items" - - return property(**locals()) - - def add_data(self, data, name=None): - ''' - Append a new data to the data_list. - - If data is an instance of Data, append it - - If it's an int, float, tuple or list create an instance of Data and append it - - Usage: - >>> g = Group() - >>> g.add_data(12); print g - ['12'] - >>> g.add_data(7,'other'); print g - ['12', 'other: 7'] - >>> - >>> g = Group() - >>> g.add_data((1,1),'a'); print g - ['a: (1, 1)'] - >>> g.add_data((2,2),'b'); print g - ['a: (1, 1)', 'b: (2, 2)'] - >>> - >>> g.add_data(Data((1,2),'c')); print g - ['a: (1, 1)', 'b: (2, 2)', 'c: (1, 2)'] - ''' - if not isinstance(data, Data): - # Try to convert - data = Data(data,name,self) - - if data.content is not None: - self.__data_list.append(data.copy()) - self.__data_list[-1].parent = self - - - def to_list(self): - ''' - Returns the group as a list of numbers (int, float or long) or a - list of tuples (points 2D or 3D). - - Usage: - >>> g = Group([1,2,3,4],'g1'); g.to_list() - [1, 2, 3, 4] - >>> g = Group([(1,2),(2,3),(3,4)],'g2'); g.to_list() - [(1, 2), (2, 3), (3, 4)] - >>> g = Group([(1,2,3),(3,4,5)],'g2'); g.to_list() - [(1, 2, 3), (3, 4, 5)] - ''' - return [data.content for data in self] - - def copy(self): - ''' - Returns a copy of this group - ''' - new_group = Group() - new_group.__name = self.__name - if self.__range is not None: - new_group.__range = self.__range[:] - for data in self: - new_group.add_data(data.copy()) - return new_group - - def get_names(self): - ''' - Return a list with the names of all data in this group - ''' - names = [] - for data in self: - if data.name is None: - names.append('Data '+str(data.index()+1)) - else: - names.append(data.name) - return names - - - def __str__ (self): - ''' - Returns a string representing the Group - ''' - ret = "" - if self.name is not None: - ret += self.name + " " - if len(self) > 0: - list_str = [str(item) for item in self] - ret += str(list_str) - else: - ret += "[]" - return ret - - def __getitem__(self, key): - ''' - Makes a Group iterable, based in the data_list property - ''' - return self.data_list[key] - - def __len__(self): - ''' - Returns the length of the Group, based in the data_list property - ''' - return len(self.data_list) - - -class Colors(object): - ''' - Class that models the colors its labels (names) and its properties, RGB - and filling type. - - It can receive: - - A list where each item is a list with 3 or 4 items. The - first 3 items represent the RGB values and the last argument - defines the filling type. The list will be converted to a dict - and each color will receve a name based in its position in the - list. - - A dictionary where each key will be the color name and its item - can be a list with 3 or 4 items. The first 3 items represent - the RGB colors and the last argument defines the filling type. - ''' - def __init__(self, color_list=None): - ''' - Start the color_list property - @ color_list - the list or dict contaning the colors properties. - ''' - self.__color_list = None - - self.color_list = color_list - - @apply - def color_list(): - doc = ''' - >>> c = Colors([[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']]) - >>> print c.color_list - {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']} - >>> c.color_list = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')] - >>> print c.color_list - {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']} - >>> c.color_list = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)} - >>> print c.color_list - {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']} - ''' - def fget(self): - ''' - Return the color list - ''' - return self.__color_list - - def fset(self, color_list): - ''' - Format the color list to a dictionary - ''' - if color_list is None: - self.__color_list = None - return - - if type(color_list) in LISTTYPES and type(color_list[0]) in LISTTYPES: - old_color_list = color_list[:] - color_list = {} - for index, color in enumerate(old_color_list): - if len(color) is 3 and max(map(type, color)) in NUMTYPES: - color_list['Color '+str(index+1)] = list(color)+[DEFAULT_COLOR_FILLING] - elif len(color) is 4 and max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES: - color_list['Color '+str(index+1)] = list(color) - else: - raise TypeError, "Unsuported color format" - elif type(color_list) is not dict: - raise TypeError, "Unsuported color format" - - for name, color in color_list.items(): - if len(color) is 3: - if max(map(type, color)) in NUMTYPES: - color_list[name] = list(color)+[DEFAULT_COLOR_FILLING] - else: - raise TypeError, "Unsuported color format" - elif len(color) is 4: - if max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES: - color_list[name] = list(color) - else: - raise TypeError, "Unsuported color format" - self.__color_list = color_list.copy() - - return property(**locals()) - - -class Series(object): - ''' - Class that models a Series (group of groups). Every value (int, float, - long, tuple or list) passed is converted to a list of Group or Data. - It can receive: - - a single number or point, will be converted to a Group of one Data; - - a list of numbers, will be converted to a group of numbers; - - a list of tuples, will converted to a single Group of points; - - a list of lists of numbers, each 'sublist' will be converted to a - group of numbers; - - a list of lists of tuples, each 'sublist' will be converted to a - group of points; - - a list of lists of lists, the content of the 'sublist' will be - processed as coordinated lists and the result will be converted to - a group of points; - - a Dictionary where each item can be the same of the list: number, - point, list of numbers, list of points or list of lists (coordinated - lists); - - an instance of Data; - - an instance of group. - ''' - def __init__(self, series=None, name=None, property=[], colors=None): - ''' - Starts main atributes in Group instance. - @series - a list, dict of data of which the series is composed; - @name - name of the series; - @property - a list/dict of properties to be used in the plots of - this Series - - Usage: - >>> print Series([1,2,3,4]) - ["Group 1 ['1', '2', '3', '4']"] - >>> print Series([[1,2,3],[4,5,6]]) - ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"] - >>> print Series((1,2)) - ["Group 1 ['(1, 2)']"] - >>> print Series([(1,2),(2,3)]) - ["Group 1 ['(1, 2)', '(2, 3)']"] - >>> print Series([[(1,2),(2,3)],[(4,5),(5,6)]]) - ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"] - >>> print Series([[[1,2,3],[1,2,3],[1,2,3]]]) - ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"] - >>> print Series({'g1':[1,2,3], 'g2':[4,5,6]}) - ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"] - >>> print Series({'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}) - ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"] - >>> print Series({'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}) - ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"] - >>> print Series(Data(1,'d1')) - ["Group 1 ['d1: 1']"] - >>> print Series(Group([(1,2),(2,3)],'g1')) - ["g1 ['(1, 2)', '(2, 3)']"] - ''' - # Intial values - self.__group_list = [] - self.__name = None - self.__range = None - - # TODO: Implement colors with filling - self.__colors = None - - self.name = name - self.group_list = series - self.colors = colors - - # Name property - @apply - def name(): - doc = ''' - Name is a read/write property that controls the input of name. - - If passed an invalid value it cleans the name with None - - Usage: - >>> s = Series(13); s.name = 'name_test'; print s - name_test ["Group 1 ['13']"] - >>> s.name = 11; print s - ["Group 1 ['13']"] - >>> s.name = 'other_name'; print s - other_name ["Group 1 ['13']"] - >>> s.name = None; print s - ["Group 1 ['13']"] - >>> s.name = 'last_name'; print s - last_name ["Group 1 ['13']"] - >>> s.name = ''; print s - ["Group 1 ['13']"] - ''' - def fget(self): - ''' - Returns the name as a string - ''' - return self.__name - - def fset(self, name): - ''' - Sets the name of the Group - ''' - if type(name) in STRTYPES and len(name) > 0: - self.__name = name - else: - self.__name = None - - return property(**locals()) - - - - # Colors property - @apply - def colors(): - doc = ''' - >>> s = Series() - >>> s.colors = [[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']] - >>> print s.colors - {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']} - >>> s.colors = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')] - >>> print s.colors - {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']} - >>> s.colors = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)} - >>> print s.colors - {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']} - ''' - def fget(self): - ''' - Return the color list - ''' - return self.__colors.color_list - - def fset(self, colors): - ''' - Format the color list to a dictionary - ''' - self.__colors = Colors(colors) - - return property(**locals()) - - @apply - def range(): - doc = ''' - The range is a read/write property that generates a range of values - for the x axis of the functions. When passed a tuple it almost works - like the built-in range funtion: - - 1 item, represent the end of the range started from 0; - - 2 items, represents the start and the end, respectively; - - 3 items, the last one represents the step; - - When passed a list the range function understands as a valid range. - - Usage: - >>> s = Series(); s.range = 10; print s.range - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0] - >>> s = Series(); s.range = (5); print s.range - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0] - >>> s = Series(); s.range = (1,7); print s.range - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0] - >>> s = Series(); s.range = (0,10,2); print s.range - [0.0, 2.0, 4.0, 6.0, 8.0, 10.0] - >>> - >>> s = Series(); s.range = [0]; print s.range - [0.0] - >>> s = Series(); s.range = [0,10,20]; print s.range - [0.0, 10.0, 20.0] - ''' - def fget(self): - ''' - Returns the range - ''' - return self.__range - - def fset(self, x_range): - ''' - Controls the input of a valid type and generate the range - ''' - # if passed a simple number convert to tuple - if type(x_range) in NUMTYPES: - x_range = (x_range,) - - # A list, just convert to float - if type(x_range) is list and len(x_range) > 0: - # Convert all to float - x_range = map(float, x_range) - # Prevents repeated values and convert back to list - self.__range = list(set(x_range[:])) - # Sort the list to ascending order - self.__range.sort() - - # A tuple, must check the lengths and generate the values - elif type(x_range) is tuple and len(x_range) in (1,2,3): - # Convert all to float - x_range = map(float, x_range) - - # Inital values - start = 0.0 - step = 1.0 - end = 0.0 - - # Only the end and it can't be less or iqual to 0 - if len(x_range) is 1 and x_range > 0: - end = x_range[0] - - # The start and the end but the start must be lesser then the end - elif len(x_range) is 2 and x_range[0] < x_range[1]: - start = x_range[0] - end = x_range[1] - - # All 3, but the start must be lesser then the end - elif x_range[0] < x_range[1]: - start = x_range[0] - end = x_range[1] - step = x_range[2] - - # Starts the range - self.__range = [] - # Generate the range - # Cnat use the range function becouse it don't suport float values - while start <= end: - self.__range.append(start) - start += step - - # Incorrect type - else: - raise Exception, "x_range must be a list with one or more item or a tuple with 2 or 3 items" - - return property(**locals()) - - @apply - def group_list(): - doc = ''' - The group_list is a read/write property used to pre-process the list - of Groups. - It can be: - - a single number, point or lambda, will be converted to a single - Group of one Data; - - a list of numbers, will be converted to a group of numbers; - - a list of tuples, will converted to a single Group of points; - - a list of lists of numbers, each 'sublist' will be converted to - a group of numbers; - - a list of lists of tuples, each 'sublist' will be converted to a - group of points; - - a list of lists of lists, the content of the 'sublist' will be - processed as coordinated lists and the result will be converted - to a group of points; - - a list of lambdas, each lambda represents a Group; - - a Dictionary where each item can be the same of the list: number, - point, list of numbers, list of points, list of lists - (coordinated lists) or lambdas - - an instance of Data; - - an instance of group. - - Usage: - >>> s = Series() - >>> s.group_list = [1,2,3,4]; print s - ["Group 1 ['1', '2', '3', '4']"] - >>> s.group_list = [[1,2,3],[4,5,6]]; print s - ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"] - >>> s.group_list = (1,2); print s - ["Group 1 ['(1, 2)']"] - >>> s.group_list = [(1,2),(2,3)]; print s - ["Group 1 ['(1, 2)', '(2, 3)']"] - >>> s.group_list = [[(1,2),(2,3)],[(4,5),(5,6)]]; print s - ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"] - >>> s.group_list = [[[1,2,3],[1,2,3],[1,2,3]]]; print s - ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"] - >>> s.group_list = [(0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]; print s - ["Group 1 ['(0.5, 5.5)']", "Group 2 ['(0, 4)', '(6, 8)']", "Group 3 ['(5.5, 7)']", "Group 4 ['(7, 9)']"] - >>> s.group_list = {'g1':[1,2,3], 'g2':[4,5,6]}; print s - ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"] - >>> s.group_list = {'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}; print s - ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"] - >>> s.group_list = {'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}; print s - ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"] - >>> s.range = 10 - >>> s.group_list = lambda x:x*2 - >>> s.group_list = [lambda x:x*2, lambda x:x**2, lambda x:x**3]; print s - ["Group 1 ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "Group 2 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']", "Group 3 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']"] - >>> s.group_list = {'linear':lambda x:x*2, 'square':lambda x:x**2, 'cubic':lambda x:x**3}; print s - ["cubic ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']", "linear ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "square ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']"] - >>> s.group_list = Data(1,'d1'); print s - ["Group 1 ['d1: 1']"] - >>> s.group_list = Group([(1,2),(2,3)],'g1'); print s - ["g1 ['(1, 2)', '(2, 3)']"] - ''' - def fget(self): - ''' - Return the group list. - ''' - return self.__group_list - - def fset(self, series): - ''' - Controls the input of a valid group list. - ''' - #TODO: Add support to the following strem of data: [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)] - - # Type: None - if series is None: - self.__group_list = [] - - # List or Tuple - elif type(series) in LISTTYPES: - self.__group_list = [] - - is_function = lambda x: callable(x) - # Groups - if list in map(type, series) or max(map(is_function, series)): - for group in series: - self.add_group(group) - - # single group - else: - self.add_group(series) - - #old code - ## List of numbers - #if type(series[0]) in NUMTYPES or type(series[0]) is tuple: - # print series - # self.add_group(series) - # - ## List of anything else - #else: - # for group in series: - # self.add_group(group) - - # Dict representing series of groups - elif type(series) is dict: - self.__group_list = [] - names = series.keys() - names.sort() - for name in names: - self.add_group(Group(series[name],name,self)) - - # A single lambda - elif callable(series): - self.__group_list = [] - self.add_group(series) - - # Int/float, instance of Group or Data - elif type(series) in NUMTYPES or isinstance(series, Group) or isinstance(series, Data): - self.__group_list = [] - self.add_group(series) - - # Default - else: - raise TypeError, "Serie type not supported" - - return property(**locals()) - - def add_group(self, group, name=None): - ''' - Append a new group in group_list - ''' - if not isinstance(group, Group): - #Try to convert - group = Group(group, name, self) - - if len(group.data_list) is not 0: - # Auto naming groups - if group.name is None: - group.name = "Group "+str(len(self.__group_list)+1) - - self.__group_list.append(group) - self.__group_list[-1].parent = self - - def copy(self): - ''' - Returns a copy of the Series - ''' - new_series = Series() - new_series.__name = self.__name - if self.__range is not None: - new_series.__range = self.__range[:] - #Add color property in the copy method - #self.__colors = None - - for group in self: - new_series.add_group(group.copy()) - - return new_series - - def get_names(self): - ''' - Returns a list of the names of all groups in the Serie - ''' - names = [] - for group in self: - if group.name is None: - names.append('Group '+str(group.index()+1)) - else: - names.append(group.name) - - return names - - def to_list(self): - ''' - Returns a list with the content of all groups and data - ''' - big_list = [] - for group in self: - for data in group: - if type(data.content) in NUMTYPES: - big_list.append(data.content) - else: - big_list = big_list + list(data.content) - return big_list - - def __getitem__(self, key): - ''' - Makes the Series iterable, based in the group_list property - ''' - return self.__group_list[key] - - def __str__(self): - ''' - Returns a string that represents the Series - ''' - ret = "" - if self.name is not None: - ret += self.name + " " - if len(self) > 0: - list_str = [str(item) for item in self] - ret += str(list_str) - else: - ret += "[]" - return ret - - def __len__(self): - ''' - Returns the length of the Series, based in the group_lsit property - ''' - return len(self.group_list) - - -if __name__ == '__main__': - doctest.testmod() |