|
from __future__ import annotations |
|
|
|
from typing import TYPE_CHECKING, cast |
|
|
|
import matplotlib.path as mpath |
|
import numpy as np |
|
|
|
from contourpy import FillType, LineType |
|
from contourpy.array import codes_from_offsets |
|
|
|
if TYPE_CHECKING: |
|
from contourpy._contourpy import FillReturn, LineReturn, LineReturn_Separate |
|
|
|
|
|
def filled_to_mpl_paths(filled: FillReturn, fill_type: FillType) -> list[mpath.Path]: |
|
if fill_type in (FillType.OuterCode, FillType.ChunkCombinedCode): |
|
paths = [mpath.Path(points, codes) for points, codes in zip(*filled) if points is not None] |
|
elif fill_type in (FillType.OuterOffset, FillType.ChunkCombinedOffset): |
|
paths = [mpath.Path(points, codes_from_offsets(offsets)) |
|
for points, offsets in zip(*filled) if points is not None] |
|
elif fill_type == FillType.ChunkCombinedCodeOffset: |
|
paths = [] |
|
for points, codes, outer_offsets in zip(*filled): |
|
if points is None: |
|
continue |
|
points = np.split(points, outer_offsets[1:-1]) |
|
codes = np.split(codes, outer_offsets[1:-1]) |
|
paths += [mpath.Path(p, c) for p, c in zip(points, codes)] |
|
elif fill_type == FillType.ChunkCombinedOffsetOffset: |
|
paths = [] |
|
for points, offsets, outer_offsets in zip(*filled): |
|
if points is None: |
|
continue |
|
for i in range(len(outer_offsets)-1): |
|
offs = offsets[outer_offsets[i]:outer_offsets[i+1]+1] |
|
pts = points[offs[0]:offs[-1]] |
|
paths += [mpath.Path(pts, codes_from_offsets(offs - offs[0]))] |
|
else: |
|
raise RuntimeError(f"Conversion of FillType {fill_type} to MPL Paths is not implemented") |
|
return paths |
|
|
|
|
|
def lines_to_mpl_paths(lines: LineReturn, line_type: LineType) -> list[mpath.Path]: |
|
if line_type == LineType.Separate: |
|
if TYPE_CHECKING: |
|
lines = cast(LineReturn_Separate, lines) |
|
paths = [] |
|
for line in lines: |
|
|
|
closed = line[0, 0] == line[-1, 0] and line[0, 1] == line[-1, 1] |
|
paths.append(mpath.Path(line, closed=closed)) |
|
elif line_type in (LineType.SeparateCode, LineType.ChunkCombinedCode): |
|
paths = [mpath.Path(points, codes) for points, codes in zip(*lines) if points is not None] |
|
elif line_type == LineType.ChunkCombinedOffset: |
|
paths = [] |
|
for points, offsets in zip(*lines): |
|
if points is None: |
|
continue |
|
for i in range(len(offsets)-1): |
|
line = points[offsets[i]:offsets[i+1]] |
|
closed = line[0, 0] == line[-1, 0] and line[0, 1] == line[-1, 1] |
|
paths.append(mpath.Path(line, closed=closed)) |
|
elif line_type == LineType.ChunkCombinedNan: |
|
paths = [] |
|
for points in lines[0]: |
|
if points is None: |
|
continue |
|
nan_offsets = np.nonzero(np.isnan(points[:, 0]))[0] |
|
nan_offsets = np.concatenate([[-1], nan_offsets, [len(points)]]) |
|
for s, e in zip(nan_offsets[:-1], nan_offsets[1:]): |
|
line = points[s+1:e] |
|
closed = line[0, 0] == line[-1, 0] and line[0, 1] == line[-1, 1] |
|
paths.append(mpath.Path(line, closed=closed)) |
|
else: |
|
raise RuntimeError(f"Conversion of LineType {line_type} to MPL Paths is not implemented") |
|
return paths |
|
|
