mirror of https://github.com/Kozea/pygal.git
Python to generate nice looking SVG graph
http://pygal.org/
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173 lines
6.1 KiB
173 lines
6.1 KiB
#!python |
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# $Id$ |
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from operator import itemgetter, add |
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from lxml import etree |
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from util import flatten, float_range |
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from svg.charts.graph import Graph |
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class Line(Graph): |
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"""Line Graph""" |
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"""Show a small circle on the graph where the line goes from one point to |
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the next""" |
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show_data_points = True |
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show_data_values = True |
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"""Accumulates each data set. (i.e. Each point increased by sum of all |
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previous series at same point).""" |
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stacked = False |
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"Fill in the area under the plot" |
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area_fill = False |
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scale_divisions = None |
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#override some defaults |
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top_align = top_font = right_align = right_font = True |
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stylesheet_names = Graph.stylesheet_names + ['plot.css'] |
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def max_value(self): |
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data = map(itemgetter('data'), self.data) |
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if self.stacked: |
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data = self.get_cumulative_data() |
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return max(flatten(data)) |
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def min_value(self): |
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if self.min_scale_value: |
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return self.min_scale_value |
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data = map(itemgetter('data'), self.data) |
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if self.stacked: |
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data = self.get_cumulative_data() |
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return min(flatten(data)) |
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def get_cumulative_data(): |
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"""Get the data as it will be charted. The first set will be |
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the actual first data set. The second will be the sum of the |
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first and the second, etc.""" |
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sets = map(itemgetter('data'), self.data) |
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if not sets: return |
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sum = sets.pop(0) |
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yield sum |
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while sets: |
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sum = map(add, sets.pop(0)) |
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yield sum |
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def get_x_labels(self): |
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return self.fields |
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def calculate_left_margin(self): |
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super(self.__class__, self).calculate_left_margin() |
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label_left = len(self.fields[0]) / 2 * self.font_size * 0.6 |
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self.border_left = max(label_left, self.border_left) |
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def get_y_label_values(self): |
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max_value = self.max_value() |
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min_value = self.min_value() |
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range = max_value - min_value |
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top_pad = (range / 20.0) or 10 |
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scale_range = (max_value + top_pad) - min_value |
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scale_division = self.scale_divisions or (scale_range / 10.0) |
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if self.scale_integers: |
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scale_division = min(1, round(scale_division)) |
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if max_value % scale_division == 0: |
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max_value += scale_division |
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labels = tuple(float_range(min_value, max_value, scale_division)) |
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return labels |
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def get_y_labels(self): |
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return map(str, self.get_y_label_values()) |
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def calc_coords(self, field, value, width = None, height = None): |
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if width is None: width = self.field_width |
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if height is None: height = self.field_height |
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coords = dict( |
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x = width * field, |
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y = self.graph_height - value * height, |
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) |
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return coords |
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def draw_data(self): |
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min_value = self.min_value() |
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field_height = self.graph_height - self.font_size*2*self.top_font |
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y_label_values = self.get_y_label_values() |
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y_label_span = max(y_label_values) - min(y_label_values) |
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field_height /= float(y_label_span) |
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field_width = self.field_width() |
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#line = len(self.data) |
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prev_sum = [0]*len(self.fields) |
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cum_sum = [-min_value]*len(self.fields) |
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coord_format = lambda c: '%(x)s %(y)s' % c |
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for line_n, data in reversed(list(enumerate(self.data, 1))): |
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apath = '' |
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if not self.stacked: cum_sum = [-min_value]*len(self.fields) |
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cum_sum = map(add, cum_sum, data['data']) |
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get_coords = lambda (i, val): self.calc_coords(i, |
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val, |
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field_width, |
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field_height) |
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coords = map(get_coords, enumerate(cum_sum)) |
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paths = map(coord_format, coords) |
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line_path = ' '.join(paths) |
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if self.area_fill: |
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# to draw the area, we'll use the line above, followed by |
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# tracing the bottom from right to left |
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if self.stacked: |
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prev_sum_rev = list(enumerate(prev_sum)).reversed() |
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coords = map(get_coords, prev_sum_rev) |
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paths = map(coord_format, coords) |
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area_path = ' '.join(paths) |
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origin = paths[-1] |
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else: |
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area_path = "V%(graph_height)s" % vars(self) |
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origin = coord_format(get_coords((0,0))) |
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d = ' '.join(( |
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'M', |
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origin, |
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'L', |
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line_path, |
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area_path, |
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'Z' |
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)) |
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etree.SubElement(self.graph, 'path', { |
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'class': 'fill%(line_n)s' % vars(), |
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'd': d, |
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}) |
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# now draw the line itself |
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etree.SubElement(self.graph, 'path', { |
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'd': 'M0 %s L%s' % (self.graph_height, line_path), |
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'class': 'line%(line_n)s' % vars(), |
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}) |
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if self.show_data_points or self.show_data_values: |
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for i, value in enumerate(cum_sum): |
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if self.show_data_points: |
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circle = etree.SubElement( |
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self.graph, |
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'circle', |
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{'class': 'dataPoint%(line_n)s' % vars()}, |
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cx = str(field_width*i), |
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cy = str(self.graph_height - value*field_height), |
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r = '2.5', |
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) |
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self.make_datapoint_text( |
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field_width*i, |
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self.graph_height - value*field_height - 6, |
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value + min_value |
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) |
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prev_sum = list(cum_sum)
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