/usr/lib/python3/dist-packages/pygal/graph/histogram.py is in python3-pygal 2.4.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | # -*- coding: utf-8 -*-
# This file is part of pygal
#
# A python svg graph plotting library
# Copyright © 2012-2016 Kozea
#
# This library 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 3 of the License, or (at your option) any
# later version.
#
# This library 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 Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with pygal. If not, see <http://www.gnu.org/licenses/>.
"""
Histogram chart: like a bar chart but with data plotted along a x axis
as bars of varying width.
"""
from __future__ import division
from pygal.graph.bar import Bar
from pygal.graph.dual import Dual
from pygal.util import alter, cached_property, decorate
class Histogram(Dual, Bar):
"""Histogram chart class"""
_series_margin = 0
@cached_property
def _values(self):
"""Getter for secondary series values (flattened)"""
return self.yvals
@cached_property
def _secondary_values(self):
"""Getter for secondary series values (flattened)"""
return [val[0]
for serie in self.secondary_series
for val in serie.values
if val[0] is not None]
@cached_property
def xvals(self):
"""All x values"""
return [val
for serie in self.all_series
for dval in serie.values
for val in dval[1:3]
if val is not None]
@cached_property
def yvals(self):
"""All y values"""
return [val[0]
for serie in self.series
for val in serie.values
if val[0] is not None]
def _bar(self, serie, parent, x0, x1, y, i, zero, secondary=False):
"""Internal bar drawing function"""
x, y = self.view((x0, y))
x1, _ = self.view((x1, y))
width = x1 - x
height = self.view.y(zero) - y
series_margin = width * self._series_margin
x += series_margin
width -= 2 * series_margin
r = serie.rounded_bars * 1 if serie.rounded_bars else 0
alter(self.svg.transposable_node(
parent, 'rect',
x=x, y=y, rx=r, ry=r, width=width, height=height,
class_='rect reactive tooltip-trigger'), serie.metadata.get(i))
return x, y, width, height
def bar(self, serie, rescale=False):
"""Draw a bar graph for a serie"""
serie_node = self.svg.serie(serie)
bars = self.svg.node(serie_node['plot'], class_="histbars")
points = serie.points
for i, (y, x0, x1) in enumerate(points):
if None in (x0, x1, y) or (self.logarithmic and y <= 0):
continue
metadata = serie.metadata.get(i)
bar = decorate(
self.svg,
self.svg.node(bars, class_='histbar'),
metadata)
val = self._format(serie, i)
bounds = self._bar(
serie, bar, x0, x1, y, i, self.zero, secondary=rescale)
self._tooltip_and_print_values(
serie_node, serie, bar, i, val, metadata, *bounds)
def _compute(self):
"""Compute x/y min and max and x/y scale and set labels"""
if self.xvals:
xmin = min(self.xvals)
xmax = max(self.xvals)
xrng = (xmax - xmin)
else:
xrng = None
if self.yvals:
ymin = min(min(self.yvals), self.zero)
ymax = max(max(self.yvals), self.zero)
yrng = (ymax - ymin)
else:
yrng = None
for serie in self.all_series:
serie.points = serie.values
if xrng:
self._box.xmin, self._box.xmax = xmin, xmax
if yrng:
self._box.ymin, self._box.ymax = ymin, ymax
if self.range and self.range[0] is not None:
self._box.ymin = self.range[0]
if self.range and self.range[1] is not None:
self._box.ymax = self.range[1]
|