mirror of https://github.com/Kozea/pygal.git
Python to generate nice looking SVG graph
http://pygal.org/
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248 lines
7.2 KiB
248 lines
7.2 KiB
#!python |
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from itertools import chain |
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from lxml import etree |
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from svg.charts.graph import Graph |
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__all__ = ('VerticalBar', 'HorizontalBar') |
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class Bar(Graph): |
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"A superclass for bar-style graphs. Do not instantiate directly." |
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# gap between bars |
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bar_gap = True |
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# how to stack adjacent dataset series |
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# overlap - overlap bars with transparent colors |
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# top - stack bars on top of one another |
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# side - stack bars side-by-side |
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stack = 'overlap' |
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scale_divisions = None |
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stylesheet_names = Graph.stylesheet_names + ['bar.css'] |
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def __init__(self, fields, *args, **kargs): |
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self.fields = fields |
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super(Bar, self).__init__(*args, **kargs) |
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# adapted from Plot |
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def get_data_values(self): |
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min_value, max_value, scale_division = self.data_range() |
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result = tuple(float_range(min_value, max_value + scale_division, scale_division)) |
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if self.scale_integers: |
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result = map(int, result) |
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return result |
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# adapted from plot (very much like calling data_range('y')) |
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def data_range(self): |
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min_value = self.data_min() |
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max_value = self.data_max() |
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range = max_value - min_value |
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data_pad = range / 20.0 or 10 |
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scale_range = (max_value + data_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 = round(scale_division) or 1 |
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return min_value, max_value, scale_division |
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def get_field_labels(self): |
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return self.fields |
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def get_data_labels(self): |
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return map(str, self.get_data_values()) |
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def data_max(self): |
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return max(chain(*map(lambda set: set['data'], self.data))) |
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# above is same as |
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# return max(map(lambda set: max(set['data']), self.data)) |
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def data_min(self): |
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if not getattr(self, 'min_scale_value') is None: return self.min_scale_value |
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min_value = min(chain(*map(lambda set: set['data'], self.data))) |
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min_value = min(min_value, 0) |
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return min_value |
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def get_bar_gap(self, field_size): |
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bar_gap = 10 # default gap |
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if field_size < 10: |
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# adjust for narrow fields |
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bar_gap = field_size / 2 |
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# the following zero's out the gap if bar_gap is False |
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bar_gap = int(self.bar_gap) * bar_gap |
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return bar_gap |
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def float_range(start = 0, stop = None, step = 1): |
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"Much like the built-in function range, but accepts floats" |
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while start < stop: |
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yield float(start) |
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start += step |
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class VerticalBar(Bar): |
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""" # === Create presentation quality SVG bar graphs easily |
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# |
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# = Synopsis |
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# |
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# require 'SVG/Graph/Bar' |
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# |
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# fields = %w(Jan Feb Mar); |
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# data_sales_02 = [12, 45, 21] |
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# |
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# graph = SVG::Graph::Bar.new( |
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# :height => 500, |
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# :width => 300, |
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# :fields => fields |
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# ) |
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# |
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# graph.add_data( |
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# :data => data_sales_02, |
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# :title => 'Sales 2002' |
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# ) |
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# |
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# print "Content-type: image/svg+xml\r\n\r\n" |
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# print graph.burn |
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# |
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# = Description |
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# |
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# This object aims to allow you to easily create high quality |
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# SVG[http://www.w3c.org/tr/svg bar graphs. You can either use the default |
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# style sheet or supply your own. Either way there are many options which |
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# can be configured to give you control over how the graph is generated - |
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# with or without a key, data elements at each point, title, subtitle etc. |
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# |
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# = Notes |
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# |
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# The default stylesheet handles upto 12 data sets, if you |
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# use more you must create your own stylesheet and add the |
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# additional settings for the extra data sets. You will know |
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# if you go over 12 data sets as they will have no style and |
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# be in black. |
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# |
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# = Examples |
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# |
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# * http://germane-software.com/repositories/public/SVG/test/test.rb |
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# |
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# = See also |
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# |
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# * SVG::Graph::Graph |
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# * SVG::Graph::BarHorizontal |
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# * SVG::Graph::Line |
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# * SVG::Graph::Pie |
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# * SVG::Graph::Plot |
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# * SVG::Graph::TimeSeries |
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""" |
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top_align = top_font = 1 |
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def get_x_labels(self): |
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return self.get_field_labels() |
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def get_y_labels(self): |
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return self.get_data_labels() |
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def x_label_offset(self, width): |
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return width / 2.0 |
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def draw_data(self): |
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min_value = self.data_min() |
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unit_size = (float(self.graph_height) - self.font_size*2*self.top_font) |
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unit_size /= (max(self.get_data_values()) - min(self.get_data_values())) |
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bar_gap = self.get_bar_gap(self.get_field_width()) |
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bar_width = self.get_field_width() - bar_gap |
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if self.stack == 'side': |
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bar_width /= len(self.data) |
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x_mod = (self.graph_width - bar_gap)/2 |
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if self.stack == 'side': |
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x_mod -= bar_width/2 |
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bottom = self.graph_height |
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for field_count, field in enumerate(self.fields): |
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for dataset_count, dataset in enumerate(self.data): |
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# cases (assume 0 = +ve): |
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# value min length |
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# +ve +ve value - min |
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# +ve -ve value - 0 |
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# -ve -ve value.abs - 0 |
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value = dataset['data'][field_count] |
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left = self.get_field_width() * field_count |
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length = (abs(value) - max(min_value, 0)) * unit_size |
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# top is 0 if value is negative |
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top = bottom - ((max(value,0) - min_value) * unit_size) |
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if self.stack == 'side': |
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left += bar_width * dataset_count |
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rect = etree.SubElement(self.graph, 'rect', { |
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'x': str(left), |
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'y': str(top), |
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'width': str(bar_width), |
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'height': str(length), |
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'class': 'fill%s' % (dataset_count+1), |
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}) |
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self.make_datapoint_text(left + bar_width/2.0, top-6, value) |
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class HorizontalBar(Bar): |
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rotate_y_labels = True |
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show_x_guidelines = True |
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show_y_guidelines = False |
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right_align = right_font = True |
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def get_x_labels(self): |
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return self.get_data_labels() |
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def get_y_labels(self): |
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return self.get_field_labels() |
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def y_label_offset(self, height): |
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return height / -2.0 |
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def draw_data(self): |
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min_value = self.data_min() |
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unit_size = float(self.graph_width) |
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unit_size -= self.font_size*2*self.right_font |
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unit_size /= max(self.get_data_values()) - min(self.get_data_values()) |
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bar_gap = self.get_bar_gap(self.get_field_height()) |
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bar_height = self.get_field_height() - bar_gap |
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if self.stack == 'side': |
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bar_height /= len(self.data) |
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y_mod = (bar_height / 2) + (self.font_size / 2) |
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for field_count, field in enumerate(self.fields): |
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for dataset_count, dataset in enumerate(self.data): |
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value = dataset['data'][field_count] |
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top = self.graph_height - (self.get_field_height() * (field_count+1)) |
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if self.stack == 'side': |
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top += (bar_height * dataset_count) |
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# cases (assume 0 = +ve): |
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# value min length left |
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# +ve +ve value.abs - min minvalue.abs |
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# +ve -ve value.abs - 0 minvalue.abs |
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# -ve -ve value.abs - 0 minvalue.abs + value |
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length = (abs(value) - max(min_value, 0)) * unit_size |
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# left is 0 if value is negative |
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left = (abs(min_value) + min(value, 0)) * unit_size |
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rect = etree.SubElement(self.graph, 'rect', { |
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'x': str(left), |
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'y': str(top), |
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'width': str(length), |
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'height': str(bar_height), |
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'class': 'fill%s' % (dataset_count+1), |
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}) |
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self.make_datapoint_text(left+length+5, top+y_mod, value, |
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"text-anchor: start; ")
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