/usr/lib/python3/dist-packages/matplotlib/hatch.py is in python3-matplotlib 1.5.1-1ubuntu1.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 | """
Contains a classes for generating hatch patterns.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from matplotlib.externals import six
from matplotlib.externals.six.moves import xrange
import numpy as np
from matplotlib.path import Path
class HatchPatternBase(object):
"""
The base class for a hatch pattern.
"""
pass
class HorizontalHatch(HatchPatternBase):
def __init__(self, hatch, density):
self.num_lines = int((hatch.count('-') + hatch.count('+')) * density)
self.num_vertices = self.num_lines * 2
def set_vertices_and_codes(self, vertices, codes):
steps, stepsize = np.linspace(0.0, 1.0, self.num_lines, False,
retstep=True)
steps += stepsize / 2.
vertices[0::2, 0] = 0.0
vertices[0::2, 1] = steps
vertices[1::2, 0] = 1.0
vertices[1::2, 1] = steps
codes[0::2] = Path.MOVETO
codes[1::2] = Path.LINETO
class VerticalHatch(HatchPatternBase):
def __init__(self, hatch, density):
self.num_lines = int((hatch.count('|') + hatch.count('+')) * density)
self.num_vertices = self.num_lines * 2
def set_vertices_and_codes(self, vertices, codes):
steps, stepsize = np.linspace(0.0, 1.0, self.num_lines, False,
retstep=True)
steps += stepsize / 2.
vertices[0::2, 0] = steps
vertices[0::2, 1] = 0.0
vertices[1::2, 0] = steps
vertices[1::2, 1] = 1.0
codes[0::2] = Path.MOVETO
codes[1::2] = Path.LINETO
class NorthEastHatch(HatchPatternBase):
def __init__(self, hatch, density):
self.num_lines = int((hatch.count('/') + hatch.count('x') +
hatch.count('X')) * density)
if self.num_lines:
self.num_vertices = (self.num_lines + 1) * 2
else:
self.num_vertices = 0
def set_vertices_and_codes(self, vertices, codes):
steps = np.linspace(-0.5, 0.5, self.num_lines + 1, True)
vertices[0::2, 0] = 0.0 + steps
vertices[0::2, 1] = 0.0 - steps
vertices[1::2, 0] = 1.0 + steps
vertices[1::2, 1] = 1.0 - steps
codes[0::2] = Path.MOVETO
codes[1::2] = Path.LINETO
class SouthEastHatch(HatchPatternBase):
def __init__(self, hatch, density):
self.num_lines = int((hatch.count('\\') + hatch.count('x') +
hatch.count('X')) * density)
self.num_vertices = (self.num_lines + 1) * 2
if self.num_lines:
self.num_vertices = (self.num_lines + 1) * 2
else:
self.num_vertices = 0
def set_vertices_and_codes(self, vertices, codes):
steps = np.linspace(-0.5, 0.5, self.num_lines + 1, True)
vertices[0::2, 0] = 0.0 + steps
vertices[0::2, 1] = 1.0 + steps
vertices[1::2, 0] = 1.0 + steps
vertices[1::2, 1] = 0.0 + steps
codes[0::2] = Path.MOVETO
codes[1::2] = Path.LINETO
class Shapes(HatchPatternBase):
filled = False
def __init__(self, hatch, density):
if self.num_rows == 0:
self.num_shapes = 0
self.num_vertices = 0
else:
self.num_shapes = ((self.num_rows // 2 + 1) * (self.num_rows + 1) +
(self.num_rows // 2) * (self.num_rows))
self.num_vertices = (self.num_shapes *
len(self.shape_vertices) *
(self.filled and 1 or 2))
def set_vertices_and_codes(self, vertices, codes):
offset = 1.0 / self.num_rows
shape_vertices = self.shape_vertices * offset * self.size
if not self.filled:
inner_vertices = shape_vertices[::-1] * 0.9
shape_codes = self.shape_codes
shape_size = len(shape_vertices)
cursor = 0
for row in xrange(self.num_rows + 1):
if row % 2 == 0:
cols = np.linspace(0.0, 1.0, self.num_rows + 1, True)
else:
cols = np.linspace(offset / 2.0, 1.0 - offset / 2.0,
self.num_rows, True)
row_pos = row * offset
for col_pos in cols:
vertices[cursor:cursor + shape_size] = (shape_vertices +
(col_pos, row_pos))
codes[cursor:cursor + shape_size] = shape_codes
cursor += shape_size
if not self.filled:
vertices[cursor:cursor + shape_size] = (inner_vertices +
(col_pos, row_pos))
codes[cursor:cursor + shape_size] = shape_codes
cursor += shape_size
class Circles(Shapes):
def __init__(self, hatch, density):
path = Path.unit_circle()
self.shape_vertices = path.vertices
self.shape_codes = path.codes
Shapes.__init__(self, hatch, density)
class SmallCircles(Circles):
size = 0.2
def __init__(self, hatch, density):
self.num_rows = (hatch.count('o')) * density
Circles.__init__(self, hatch, density)
class LargeCircles(Circles):
size = 0.35
def __init__(self, hatch, density):
self.num_rows = (hatch.count('O')) * density
Circles.__init__(self, hatch, density)
class SmallFilledCircles(SmallCircles):
size = 0.1
filled = True
def __init__(self, hatch, density):
self.num_rows = (hatch.count('.')) * density
Circles.__init__(self, hatch, density)
class Stars(Shapes):
size = 1.0 / 3.0
filled = True
def __init__(self, hatch, density):
self.num_rows = (hatch.count('*')) * density
path = Path.unit_regular_star(5)
self.shape_vertices = path.vertices
self.shape_codes = np.ones(len(self.shape_vertices)) * Path.LINETO
self.shape_codes[0] = Path.MOVETO
Shapes.__init__(self, hatch, density)
_hatch_types = [
HorizontalHatch,
VerticalHatch,
NorthEastHatch,
SouthEastHatch,
SmallCircles,
LargeCircles,
SmallFilledCircles,
Stars
]
def get_path(hatchpattern, density=6):
"""
Given a hatch specifier, *hatchpattern*, generates Path to render
the hatch in a unit square. *density* is the number of lines per
unit square.
"""
density = int(density)
patterns = [hatch_type(hatchpattern, density)
for hatch_type in _hatch_types]
num_vertices = sum([pattern.num_vertices for pattern in patterns])
if num_vertices == 0:
return Path(np.empty((0, 2)))
vertices = np.empty((num_vertices, 2))
codes = np.empty((num_vertices,), np.uint8)
cursor = 0
for pattern in patterns:
if pattern.num_vertices != 0:
vertices_chunk = vertices[cursor:cursor + pattern.num_vertices]
codes_chunk = codes[cursor:cursor + pattern.num_vertices]
pattern.set_vertices_and_codes(vertices_chunk, codes_chunk)
cursor += pattern.num_vertices
return Path(vertices, codes)
|