442 lines
17 KiB
Python
442 lines
17 KiB
Python
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import re
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from matplotlib import path, transforms
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from matplotlib.backend_bases import (
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FigureCanvasBase, KeyEvent, LocationEvent, MouseButton, MouseEvent,
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NavigationToolbar2, RendererBase)
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from matplotlib.backend_tools import RubberbandBase
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from matplotlib.figure import Figure
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from matplotlib.testing._markers import needs_pgf_xelatex
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import matplotlib.pyplot as plt
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import numpy as np
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import pytest
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_EXPECTED_WARNING_TOOLMANAGER = (
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r"Treat the new Tool classes introduced in "
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r"v[0-9]*.[0-9]* as experimental for now; "
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"the API and rcParam may change in future versions.")
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def test_uses_per_path():
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id = transforms.Affine2D()
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paths = [path.Path.unit_regular_polygon(i) for i in range(3, 7)]
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tforms_matrices = [id.rotate(i).get_matrix().copy() for i in range(1, 5)]
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offsets = np.arange(20).reshape((10, 2))
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facecolors = ['red', 'green']
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edgecolors = ['red', 'green']
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def check(master_transform, paths, all_transforms,
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offsets, facecolors, edgecolors):
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rb = RendererBase()
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raw_paths = list(rb._iter_collection_raw_paths(
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master_transform, paths, all_transforms))
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gc = rb.new_gc()
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ids = [path_id for xo, yo, path_id, gc0, rgbFace in
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rb._iter_collection(
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gc, range(len(raw_paths)), offsets,
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transforms.AffineDeltaTransform(master_transform),
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facecolors, edgecolors, [], [], [False],
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[], 'screen')]
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uses = rb._iter_collection_uses_per_path(
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paths, all_transforms, offsets, facecolors, edgecolors)
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if raw_paths:
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seen = np.bincount(ids, minlength=len(raw_paths))
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assert set(seen).issubset([uses - 1, uses])
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check(id, paths, tforms_matrices, offsets, facecolors, edgecolors)
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check(id, paths[0:1], tforms_matrices, offsets, facecolors, edgecolors)
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check(id, [], tforms_matrices, offsets, facecolors, edgecolors)
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check(id, paths, tforms_matrices[0:1], offsets, facecolors, edgecolors)
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check(id, paths, [], offsets, facecolors, edgecolors)
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for n in range(0, offsets.shape[0]):
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check(id, paths, tforms_matrices, offsets[0:n, :],
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facecolors, edgecolors)
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check(id, paths, tforms_matrices, offsets, [], edgecolors)
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check(id, paths, tforms_matrices, offsets, facecolors, [])
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check(id, paths, tforms_matrices, offsets, [], [])
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check(id, paths, tforms_matrices, offsets, facecolors[0:1], edgecolors)
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def test_canvas_ctor():
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assert isinstance(FigureCanvasBase().figure, Figure)
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def test_get_default_filename():
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assert plt.figure().canvas.get_default_filename() == 'image.png'
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def test_canvas_change():
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fig = plt.figure()
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# Replaces fig.canvas
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canvas = FigureCanvasBase(fig)
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# Should still work.
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plt.close(fig)
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assert not plt.fignum_exists(fig.number)
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@pytest.mark.backend('pdf')
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def test_non_gui_warning(monkeypatch):
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plt.subplots()
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monkeypatch.setenv("DISPLAY", ":999")
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with pytest.warns(UserWarning) as rec:
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plt.show()
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assert len(rec) == 1
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assert ('FigureCanvasPdf is non-interactive, and thus cannot be shown'
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in str(rec[0].message))
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with pytest.warns(UserWarning) as rec:
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plt.gcf().show()
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assert len(rec) == 1
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assert ('FigureCanvasPdf is non-interactive, and thus cannot be shown'
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in str(rec[0].message))
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def test_grab_clear():
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fig, ax = plt.subplots()
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fig.canvas.grab_mouse(ax)
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assert fig.canvas.mouse_grabber == ax
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fig.clear()
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assert fig.canvas.mouse_grabber is None
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@pytest.mark.parametrize(
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"x, y", [(42, 24), (None, 42), (None, None), (200, 100.01), (205.75, 2.0)])
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def test_location_event_position(x, y):
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# LocationEvent should cast its x and y arguments to int unless it is None.
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fig, ax = plt.subplots()
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canvas = FigureCanvasBase(fig)
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event = LocationEvent("test_event", canvas, x, y)
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if x is None:
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assert event.x is None
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else:
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assert event.x == int(x)
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assert isinstance(event.x, int)
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if y is None:
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assert event.y is None
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else:
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assert event.y == int(y)
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assert isinstance(event.y, int)
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if x is not None and y is not None:
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assert re.match(
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f"x={ax.format_xdata(x)} +y={ax.format_ydata(y)}",
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ax.format_coord(x, y))
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ax.fmt_xdata = ax.fmt_ydata = lambda x: "foo"
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assert re.match("x=foo +y=foo", ax.format_coord(x, y))
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def test_pick():
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fig = plt.figure()
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fig.text(.5, .5, "hello", ha="center", va="center", picker=True)
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fig.canvas.draw()
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picks = []
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def handle_pick(event):
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assert event.mouseevent.key == "a"
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picks.append(event)
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fig.canvas.mpl_connect("pick_event", handle_pick)
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KeyEvent("key_press_event", fig.canvas, "a")._process()
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MouseEvent("button_press_event", fig.canvas,
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*fig.transFigure.transform((.5, .5)),
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MouseButton.LEFT)._process()
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KeyEvent("key_release_event", fig.canvas, "a")._process()
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assert len(picks) == 1
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def test_interactive_zoom():
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fig, ax = plt.subplots()
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ax.set(xscale="logit")
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assert ax.get_navigate_mode() is None
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tb = NavigationToolbar2(fig.canvas)
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tb.zoom()
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assert ax.get_navigate_mode() == 'ZOOM'
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xlim0 = ax.get_xlim()
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ylim0 = ax.get_ylim()
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# Zoom from x=1e-6, y=0.1 to x=1-1e-5, 0.8 (data coordinates, "d").
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d0 = (1e-6, 0.1)
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d1 = (1-1e-5, 0.8)
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# Convert to screen coordinates ("s"). Events are defined only with pixel
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# precision, so round the pixel values, and below, check against the
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# corresponding xdata/ydata, which are close but not equal to d0/d1.
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s0 = ax.transData.transform(d0).astype(int)
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s1 = ax.transData.transform(d1).astype(int)
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# Zoom in.
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start_event = MouseEvent(
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"button_press_event", fig.canvas, *s0, MouseButton.LEFT)
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fig.canvas.callbacks.process(start_event.name, start_event)
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stop_event = MouseEvent(
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"button_release_event", fig.canvas, *s1, MouseButton.LEFT)
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fig.canvas.callbacks.process(stop_event.name, stop_event)
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assert ax.get_xlim() == (start_event.xdata, stop_event.xdata)
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assert ax.get_ylim() == (start_event.ydata, stop_event.ydata)
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# Zoom out.
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start_event = MouseEvent(
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"button_press_event", fig.canvas, *s1, MouseButton.RIGHT)
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fig.canvas.callbacks.process(start_event.name, start_event)
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stop_event = MouseEvent(
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"button_release_event", fig.canvas, *s0, MouseButton.RIGHT)
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fig.canvas.callbacks.process(stop_event.name, stop_event)
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# Absolute tolerance much less than original xmin (1e-7).
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assert ax.get_xlim() == pytest.approx(xlim0, rel=0, abs=1e-10)
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assert ax.get_ylim() == pytest.approx(ylim0, rel=0, abs=1e-10)
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tb.zoom()
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assert ax.get_navigate_mode() is None
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assert not ax.get_autoscalex_on() and not ax.get_autoscaley_on()
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def test_widgetlock_zoompan():
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fig, ax = plt.subplots()
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ax.plot([0, 1], [0, 1])
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fig.canvas.widgetlock(ax)
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tb = NavigationToolbar2(fig.canvas)
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tb.zoom()
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assert ax.get_navigate_mode() is None
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tb.pan()
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assert ax.get_navigate_mode() is None
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@pytest.mark.parametrize("plot_func", ["imshow", "contourf"])
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@pytest.mark.parametrize("orientation", ["vertical", "horizontal"])
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@pytest.mark.parametrize("tool,button,expected",
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[("zoom", MouseButton.LEFT, (4, 6)), # zoom in
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("zoom", MouseButton.RIGHT, (-20, 30)), # zoom out
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("pan", MouseButton.LEFT, (-2, 8)),
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("pan", MouseButton.RIGHT, (1.47, 7.78))]) # zoom
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def test_interactive_colorbar(plot_func, orientation, tool, button, expected):
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fig, ax = plt.subplots()
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data = np.arange(12).reshape((4, 3))
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vmin0, vmax0 = 0, 10
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coll = getattr(ax, plot_func)(data, vmin=vmin0, vmax=vmax0)
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cb = fig.colorbar(coll, ax=ax, orientation=orientation)
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if plot_func == "contourf":
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# Just determine we can't navigate and exit out of the test
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assert not cb.ax.get_navigate()
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return
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assert cb.ax.get_navigate()
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# Mouse from 4 to 6 (data coordinates, "d").
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vmin, vmax = 4, 6
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# The y coordinate doesn't matter, it just needs to be between 0 and 1
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# However, we will set d0/d1 to the same y coordinate to test that small
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# pixel changes in that coordinate doesn't cancel the zoom like a normal
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# axes would.
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d0 = (vmin, 0.5)
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d1 = (vmax, 0.5)
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# Swap them if the orientation is vertical
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if orientation == "vertical":
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d0 = d0[::-1]
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d1 = d1[::-1]
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# Convert to screen coordinates ("s"). Events are defined only with pixel
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# precision, so round the pixel values, and below, check against the
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# corresponding xdata/ydata, which are close but not equal to d0/d1.
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s0 = cb.ax.transData.transform(d0).astype(int)
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s1 = cb.ax.transData.transform(d1).astype(int)
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# Set up the mouse movements
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start_event = MouseEvent(
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"button_press_event", fig.canvas, *s0, button)
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stop_event = MouseEvent(
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"button_release_event", fig.canvas, *s1, button)
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tb = NavigationToolbar2(fig.canvas)
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if tool == "zoom":
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tb.zoom()
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tb.press_zoom(start_event)
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tb.drag_zoom(stop_event)
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tb.release_zoom(stop_event)
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else:
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tb.pan()
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tb.press_pan(start_event)
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tb.drag_pan(stop_event)
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tb.release_pan(stop_event)
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# Should be close, but won't be exact due to screen integer resolution
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assert (cb.vmin, cb.vmax) == pytest.approx(expected, abs=0.15)
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def test_toolbar_zoompan():
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with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
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plt.rcParams['toolbar'] = 'toolmanager'
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ax = plt.gca()
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assert ax.get_navigate_mode() is None
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ax.figure.canvas.manager.toolmanager.trigger_tool('zoom')
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assert ax.get_navigate_mode() == "ZOOM"
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ax.figure.canvas.manager.toolmanager.trigger_tool('pan')
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assert ax.get_navigate_mode() == "PAN"
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def test_toolbar_home_restores_autoscale():
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fig, ax = plt.subplots()
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ax.plot(range(11), range(11))
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tb = NavigationToolbar2(fig.canvas)
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tb.zoom()
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# Switch to log.
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KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
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KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
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assert ax.get_xlim() == ax.get_ylim() == (1, 10) # Autolimits excluding 0.
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# Switch back to linear.
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KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
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KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
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assert ax.get_xlim() == ax.get_ylim() == (0, 10) # Autolimits.
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# Zoom in from (x, y) = (2, 2) to (5, 5).
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start, stop = ax.transData.transform([(2, 2), (5, 5)])
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MouseEvent("button_press_event", fig.canvas, *start, MouseButton.LEFT)._process()
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MouseEvent("button_release_event", fig.canvas, *stop, MouseButton.LEFT)._process()
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# Go back to home.
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KeyEvent("key_press_event", fig.canvas, "h")._process()
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assert ax.get_xlim() == ax.get_ylim() == (0, 10)
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# Switch to log.
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KeyEvent("key_press_event", fig.canvas, "k", 100, 100)._process()
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KeyEvent("key_press_event", fig.canvas, "l", 100, 100)._process()
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assert ax.get_xlim() == ax.get_ylim() == (1, 10) # Autolimits excluding 0.
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@pytest.mark.parametrize(
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"backend", ['svg', 'ps', 'pdf',
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pytest.param('pgf', marks=needs_pgf_xelatex)]
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)
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def test_draw(backend):
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from matplotlib.figure import Figure
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from matplotlib.backends.backend_agg import FigureCanvas
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test_backend = pytest.importorskip(
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f'matplotlib.backends.backend_{backend}'
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)
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TestCanvas = test_backend.FigureCanvas
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fig_test = Figure(constrained_layout=True)
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TestCanvas(fig_test)
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axes_test = fig_test.subplots(2, 2)
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# defaults to FigureCanvasBase
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fig_agg = Figure(constrained_layout=True)
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# put a backends.backend_agg.FigureCanvas on it
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FigureCanvas(fig_agg)
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axes_agg = fig_agg.subplots(2, 2)
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init_pos = [ax.get_position() for ax in axes_test.ravel()]
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fig_test.canvas.draw()
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|
fig_agg.canvas.draw()
|
||
|
|
|
||
|
|
layed_out_pos_test = [ax.get_position() for ax in axes_test.ravel()]
|
||
|
|
layed_out_pos_agg = [ax.get_position() for ax in axes_agg.ravel()]
|
||
|
|
|
||
|
|
for init, placed in zip(init_pos, layed_out_pos_test):
|
||
|
|
assert not np.allclose(init, placed, atol=0.005)
|
||
|
|
|
||
|
|
for ref, test in zip(layed_out_pos_agg, layed_out_pos_test):
|
||
|
|
np.testing.assert_allclose(ref, test, atol=0.005)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"key,mouseend,expectedxlim,expectedylim",
|
||
|
|
[(None, (0.2, 0.2), (3.49, 12.49), (2.7, 11.7)),
|
||
|
|
(None, (0.2, 0.5), (3.49, 12.49), (0, 9)),
|
||
|
|
(None, (0.5, 0.2), (0, 9), (2.7, 11.7)),
|
||
|
|
(None, (0.5, 0.5), (0, 9), (0, 9)), # No move
|
||
|
|
(None, (0.8, 0.25), (-3.47, 5.53), (2.25, 11.25)),
|
||
|
|
(None, (0.2, 0.25), (3.49, 12.49), (2.25, 11.25)),
|
||
|
|
(None, (0.8, 0.85), (-3.47, 5.53), (-3.14, 5.86)),
|
||
|
|
(None, (0.2, 0.85), (3.49, 12.49), (-3.14, 5.86)),
|
||
|
|
("shift", (0.2, 0.4), (3.49, 12.49), (0, 9)), # snap to x
|
||
|
|
("shift", (0.4, 0.2), (0, 9), (2.7, 11.7)), # snap to y
|
||
|
|
("shift", (0.2, 0.25), (3.49, 12.49), (3.49, 12.49)), # snap to diagonal
|
||
|
|
("shift", (0.8, 0.25), (-3.47, 5.53), (3.47, 12.47)), # snap to diagonal
|
||
|
|
("shift", (0.8, 0.9), (-3.58, 5.41), (-3.58, 5.41)), # snap to diagonal
|
||
|
|
("shift", (0.2, 0.85), (3.49, 12.49), (-3.49, 5.51)), # snap to diagonal
|
||
|
|
("x", (0.2, 0.1), (3.49, 12.49), (0, 9)), # only x
|
||
|
|
("y", (0.1, 0.2), (0, 9), (2.7, 11.7)), # only y
|
||
|
|
("control", (0.2, 0.2), (3.49, 12.49), (3.49, 12.49)), # diagonal
|
||
|
|
("control", (0.4, 0.2), (2.72, 11.72), (2.72, 11.72)), # diagonal
|
||
|
|
])
|
||
|
|
def test_interactive_pan(key, mouseend, expectedxlim, expectedylim):
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
ax.plot(np.arange(10))
|
||
|
|
assert ax.get_navigate()
|
||
|
|
# Set equal aspect ratio to easier see diagonal snap
|
||
|
|
ax.set_aspect('equal')
|
||
|
|
|
||
|
|
# Mouse move starts from 0.5, 0.5
|
||
|
|
mousestart = (0.5, 0.5)
|
||
|
|
# Convert to screen coordinates ("s"). Events are defined only with pixel
|
||
|
|
# precision, so round the pixel values, and below, check against the
|
||
|
|
# corresponding xdata/ydata, which are close but not equal to d0/d1.
|
||
|
|
sstart = ax.transData.transform(mousestart).astype(int)
|
||
|
|
send = ax.transData.transform(mouseend).astype(int)
|
||
|
|
|
||
|
|
# Set up the mouse movements
|
||
|
|
start_event = MouseEvent(
|
||
|
|
"button_press_event", fig.canvas, *sstart, button=MouseButton.LEFT,
|
||
|
|
key=key)
|
||
|
|
stop_event = MouseEvent(
|
||
|
|
"button_release_event", fig.canvas, *send, button=MouseButton.LEFT,
|
||
|
|
key=key)
|
||
|
|
|
||
|
|
tb = NavigationToolbar2(fig.canvas)
|
||
|
|
tb.pan()
|
||
|
|
tb.press_pan(start_event)
|
||
|
|
tb.drag_pan(stop_event)
|
||
|
|
tb.release_pan(stop_event)
|
||
|
|
# Should be close, but won't be exact due to screen integer resolution
|
||
|
|
assert tuple(ax.get_xlim()) == pytest.approx(expectedxlim, abs=0.02)
|
||
|
|
assert tuple(ax.get_ylim()) == pytest.approx(expectedylim, abs=0.02)
|
||
|
|
|
||
|
|
|
||
|
|
def test_toolmanager_remove():
|
||
|
|
with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
|
||
|
|
plt.rcParams['toolbar'] = 'toolmanager'
|
||
|
|
fig = plt.gcf()
|
||
|
|
initial_len = len(fig.canvas.manager.toolmanager.tools)
|
||
|
|
assert 'forward' in fig.canvas.manager.toolmanager.tools
|
||
|
|
fig.canvas.manager.toolmanager.remove_tool('forward')
|
||
|
|
assert len(fig.canvas.manager.toolmanager.tools) == initial_len - 1
|
||
|
|
assert 'forward' not in fig.canvas.manager.toolmanager.tools
|
||
|
|
|
||
|
|
|
||
|
|
def test_toolmanager_get_tool():
|
||
|
|
with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
|
||
|
|
plt.rcParams['toolbar'] = 'toolmanager'
|
||
|
|
fig = plt.gcf()
|
||
|
|
rubberband = fig.canvas.manager.toolmanager.get_tool('rubberband')
|
||
|
|
assert isinstance(rubberband, RubberbandBase)
|
||
|
|
assert fig.canvas.manager.toolmanager.get_tool(rubberband) is rubberband
|
||
|
|
with pytest.warns(UserWarning,
|
||
|
|
match="ToolManager does not control tool 'foo'"):
|
||
|
|
assert fig.canvas.manager.toolmanager.get_tool('foo') is None
|
||
|
|
assert fig.canvas.manager.toolmanager.get_tool('foo', warn=False) is None
|
||
|
|
|
||
|
|
with pytest.warns(UserWarning,
|
||
|
|
match="ToolManager does not control tool 'foo'"):
|
||
|
|
assert fig.canvas.manager.toolmanager.trigger_tool('foo') is None
|
||
|
|
|
||
|
|
|
||
|
|
def test_toolmanager_update_keymap():
|
||
|
|
with pytest.warns(UserWarning, match=_EXPECTED_WARNING_TOOLMANAGER):
|
||
|
|
plt.rcParams['toolbar'] = 'toolmanager'
|
||
|
|
fig = plt.gcf()
|
||
|
|
assert 'v' in fig.canvas.manager.toolmanager.get_tool_keymap('forward')
|
||
|
|
with pytest.warns(UserWarning,
|
||
|
|
match="Key c changed from back to forward"):
|
||
|
|
fig.canvas.manager.toolmanager.update_keymap('forward', 'c')
|
||
|
|
assert fig.canvas.manager.toolmanager.get_tool_keymap('forward') == ['c']
|
||
|
|
with pytest.raises(KeyError, match="'foo' not in Tools"):
|
||
|
|
fig.canvas.manager.toolmanager.update_keymap('foo', 'c')
|