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- import re
- from matplotlib.backend_bases import (
- FigureCanvasBase, LocationEvent, RendererBase)
- import matplotlib.pyplot as plt
- import matplotlib.transforms as transforms
- import matplotlib.path as path
- import os
- import numpy as np
- import pytest
- def test_uses_per_path():
- id = transforms.Affine2D()
- paths = [path.Path.unit_regular_polygon(i) for i in range(3, 7)]
- tforms = [id.rotate(i) for i in range(1, 5)]
- offsets = np.arange(20).reshape((10, 2))
- facecolors = ['red', 'green']
- edgecolors = ['red', 'green']
- def check(master_transform, paths, all_transforms,
- offsets, facecolors, edgecolors):
- rb = RendererBase()
- raw_paths = list(rb._iter_collection_raw_paths(
- master_transform, paths, all_transforms))
- gc = rb.new_gc()
- ids = [path_id for xo, yo, path_id, gc0, rgbFace in
- rb._iter_collection(gc, master_transform, all_transforms,
- range(len(raw_paths)), offsets,
- transforms.IdentityTransform(),
- facecolors, edgecolors, [], [], [False],
- [], 'data')]
- uses = rb._iter_collection_uses_per_path(
- paths, all_transforms, offsets, facecolors, edgecolors)
- if raw_paths:
- seen = np.bincount(ids, minlength=len(raw_paths))
- assert set(seen).issubset([uses - 1, uses])
- check(id, paths, tforms, offsets, facecolors, edgecolors)
- check(id, paths[0:1], tforms, offsets, facecolors, edgecolors)
- check(id, [], tforms, offsets, facecolors, edgecolors)
- check(id, paths, tforms[0:1], offsets, facecolors, edgecolors)
- check(id, paths, [], offsets, facecolors, edgecolors)
- for n in range(0, offsets.shape[0]):
- check(id, paths, tforms, offsets[0:n, :], facecolors, edgecolors)
- check(id, paths, tforms, offsets, [], edgecolors)
- check(id, paths, tforms, offsets, facecolors, [])
- check(id, paths, tforms, offsets, [], [])
- check(id, paths, tforms, offsets, facecolors[0:1], edgecolors)
- def test_get_default_filename(tmpdir):
- plt.rcParams['savefig.directory'] = str(tmpdir)
- fig = plt.figure()
- canvas = FigureCanvasBase(fig)
- filename = canvas.get_default_filename()
- assert filename == 'image.png'
- @pytest.mark.backend('pdf')
- def test_non_gui_warning(monkeypatch):
- plt.subplots()
- monkeypatch.setitem(os.environ, "DISPLAY", ":999")
- with pytest.warns(UserWarning) as rec:
- plt.show()
- assert len(rec) == 1
- assert ('Matplotlib is currently using pdf, which is a non-GUI backend'
- in str(rec[0].message))
- with pytest.warns(UserWarning) as rec:
- plt.gcf().show()
- assert len(rec) == 1
- assert ('Matplotlib is currently using pdf, which is a non-GUI backend'
- in str(rec[0].message))
- @pytest.mark.parametrize(
- "x, y", [(42, 24), (None, 42), (None, None), (200, 100.01), (205.75, 2.0)])
- def test_location_event_position(x, y):
- # LocationEvent should cast its x and y arguments to int unless it is None.
- fig, ax = plt.subplots()
- canvas = FigureCanvasBase(fig)
- event = LocationEvent("test_event", canvas, x, y)
- if x is None:
- assert event.x is None
- else:
- assert event.x == int(x)
- assert isinstance(event.x, int)
- if y is None:
- assert event.y is None
- else:
- assert event.y == int(y)
- assert isinstance(event.y, int)
- if x is not None and y is not None:
- assert re.match(
- "x={} +y={}".format(ax.format_xdata(x), ax.format_ydata(y)),
- ax.format_coord(x, y))
- ax.fmt_xdata = ax.fmt_ydata = lambda x: "foo"
- assert re.match("x=foo +y=foo", ax.format_coord(x, y))
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