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hatch.py
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hatch.py
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"""Contains classes for generating hatch patterns."""
import numpy as np
from matplotlib import _api
from matplotlib.path import Path
class HatchPatternBase:
"""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)
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)
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)
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) *
(1 if self.filled else 2))
def set_vertices_and_codes(self, vertices, codes):
offset = 1.0 / self.num_rows
shape_vertices = self.shape_vertices * offset * self.size
shape_codes = self.shape_codes
if not self.filled:
shape_vertices = np.concatenate( # Forward, then backward.
[shape_vertices, shape_vertices[::-1] * 0.9])
shape_codes = np.concatenate([shape_codes, shape_codes])
vertices_parts = []
codes_parts = []
for row in range(self.num_rows + 1):
if row % 2 == 0:
cols = np.linspace(0, 1, self.num_rows + 1)
else:
cols = np.linspace(offset / 2, 1 - offset / 2, self.num_rows)
row_pos = row * offset
for col_pos in cols:
vertices_parts.append(shape_vertices + [col_pos, row_pos])
codes_parts.append(shape_codes)
np.concatenate(vertices_parts, out=vertices)
np.concatenate(codes_parts, out=codes)
class Circles(Shapes):
def __init__(self, hatch, density):
path = Path.unit_circle()
self.shape_vertices = path.vertices
self.shape_codes = path.codes
super().__init__(hatch, density)
class SmallCircles(Circles):
size = 0.2
def __init__(self, hatch, density):
self.num_rows = (hatch.count('o')) * density
super().__init__(hatch, density)
class LargeCircles(Circles):
size = 0.35
def __init__(self, hatch, density):
self.num_rows = (hatch.count('O')) * density
super().__init__(hatch, density)
class SmallFilledCircles(Circles):
size = 0.1
filled = True
def __init__(self, hatch, density):
self.num_rows = (hatch.count('.')) * density
super().__init__(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.full(len(self.shape_vertices), Path.LINETO,
dtype=Path.code_type)
self.shape_codes[0] = Path.MOVETO
super().__init__(hatch, density)
_hatch_types = [
HorizontalHatch,
VerticalHatch,
NorthEastHatch,
SouthEastHatch,
SmallCircles,
LargeCircles,
SmallFilledCircles,
Stars
]
def _validate_hatch_pattern(hatch):
valid_hatch_patterns = set(r'-+|/\xXoO.*')
if hatch is not None:
invalids = set(hatch).difference(valid_hatch_patterns)
if invalids:
valid = ''.join(sorted(valid_hatch_patterns))
invalids = ''.join(sorted(invalids))
_api.warn_deprecated(
'3.4',
removal='3.9', # one release after custom hatches (#20690)
message=f'hatch must consist of a string of "{valid}" or '
'None, but found the following invalid values '
f'"{invalids}". Passing invalid values is deprecated '
'since %(since)s and will become an error %(removal)s.'
)
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, Path.code_type)
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)