/usr/lib/python3/dist-packages/pygal/graph/line.py is in python3-pygal 2.4.0-1.
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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | # -*- 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/>.
"""
Line chart: Display series of data as markers (dots)
connected by straight segments
"""
from __future__ import division
from pygal.graph.graph import Graph
from pygal.util import alter, cached_property, decorate
class Line(Graph):
"""Line graph class"""
def __init__(self, *args, **kwargs):
"""Set _self_close as False, it's True for Radar like Line"""
self._self_close = False
super(Line, self).__init__(*args, **kwargs)
@cached_property
def _values(self):
"""Getter for series values (flattened)"""
return [
val[1]
for serie in self.series
for val in (serie.interpolated
if self.interpolate else serie.points)
if val[1] is not None and (not self.logarithmic or val[1] > 0)]
@cached_property
def _secondary_values(self):
"""Getter for secondary series values (flattened)"""
return [
val[1]
for serie in self.secondary_series
for val in (serie.interpolated
if self.interpolate else serie.points)
if val[1] is not None and (not self.logarithmic or val[1] > 0)]
def _fill(self, values):
"""Add extra values to fill the line"""
zero = self.view.y(min(max(self.zero, self._box.ymin), self._box.ymax))
# Check to see if the data has been padded with "none's"
# Fill doesn't work correctly otherwise
end = len(values) - 1
while end > 0:
x, y = values[end]
if self.missing_value_fill_truncation == "either":
if x is not None and y is not None:
break
elif self.missing_value_fill_truncation == "x":
if x is not None:
break
elif self.missing_value_fill_truncation == "y":
if y is not None:
break
else:
raise ValueError(
"Invalid value ({}) for config key "
"'missing_value_fill_truncation';"
" Use 'x', 'y' or 'either'".format(
self.missing_value_fill_truncation))
end -= 1
return ([(values[0][0], zero)] +
values +
[(values[end][0], zero)])
def line(self, serie, rescale=False):
"""Draw the line serie"""
serie_node = self.svg.serie(serie)
if rescale and self.secondary_series:
points = self._rescale(serie.points)
else:
points = serie.points
view_values = list(map(self.view, points))
if serie.show_dots:
for i, (x, y) in enumerate(view_values):
if None in (x, y):
continue
if self.logarithmic:
if points[i][1] is None or points[i][1] <= 0:
continue
if (serie.show_only_major_dots and
self.x_labels and i < len(self.x_labels) and
self.x_labels[i] not in self._x_labels_major):
continue
metadata = serie.metadata.get(i)
classes = []
if x > self.view.width / 2:
classes.append('left')
if y > self.view.height / 2:
classes.append('top')
classes = ' '.join(classes)
self._confidence_interval(
serie_node['overlay'], x, y, serie.values[i], metadata)
dots = decorate(
self.svg,
self.svg.node(serie_node['overlay'], class_="dots"),
metadata)
val = self._format(serie, i)
alter(self.svg.transposable_node(
dots, 'circle', cx=x, cy=y, r=serie.dots_size,
class_='dot reactive tooltip-trigger'), metadata)
self._tooltip_data(
dots, val, x, y,
xlabel=self._get_x_label(i))
self._static_value(
serie_node, val,
x + self.style.value_font_size,
y + self.style.value_font_size,
metadata)
if serie.stroke:
if self.interpolate:
points = serie.interpolated
if rescale and self.secondary_series:
points = self._rescale(points)
view_values = list(map(self.view, points))
if serie.fill:
view_values = self._fill(view_values)
if serie.allow_interruptions:
# view_values are in form [(x1, y1), (x2, y2)]. We
# need to split that into multiple sequences if a
# None is present here
sequences = []
cur_sequence = []
for x, y in view_values:
if y is None and len(cur_sequence) > 0:
# emit current subsequence
sequences.append(cur_sequence)
cur_sequence = []
elif y is None: # just discard
continue
else:
cur_sequence.append((x, y)) # append the element
if len(cur_sequence) > 0: # emit last possible sequence
sequences.append(cur_sequence)
else:
# plain vanilla rendering
sequences = [view_values]
if self.logarithmic:
for seq in sequences:
for ele in seq[::-1]:
y = points[seq.index(ele)][1]
if y is None or y <= 0:
del seq[seq.index(ele)]
for seq in sequences:
self.svg.line(
serie_node['plot'], seq, close=self._self_close,
class_='line reactive' +
(' nofill' if not serie.fill else ''))
def _compute(self):
"""Compute y min and max and y scale and set labels"""
# X Labels
if self.horizontal:
self._x_pos = [
x / (self._len - 1) for x in range(self._len)
][::-1] if self._len != 1 else [.5] # Center if only one value
else:
self._x_pos = [
x / (self._len - 1) for x in range(self._len)
] if self._len != 1 else [.5] # Center if only one value
self._points(self._x_pos)
if self.include_x_axis:
# Y Label
self._box.ymin = min(self._min or 0, 0)
self._box.ymax = max(self._max or 0, 0)
else:
self._box.ymin = self._min
self._box.ymax = self._max
def _plot(self):
"""Plot the serie lines and secondary serie lines"""
for serie in self.series:
self.line(serie)
for serie in self.secondary_series:
self.line(serie, True)
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