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95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.testing.decorators import check_figures_equal, image_comparison
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@image_comparison(['spines_axes_positions'])
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def test_spines_axes_positions():
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# SF bug 2852168
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fig = plt.figure()
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x = np.linspace(0, 2*np.pi, 100)
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y = 2*np.sin(x)
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ax = fig.add_subplot(1, 1, 1)
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ax.set_title('centered spines')
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ax.plot(x, y)
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ax.spines['right'].set_position(('axes', 0.1))
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ax.yaxis.set_ticks_position('right')
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ax.spines['top'].set_position(('axes', 0.25))
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ax.xaxis.set_ticks_position('top')
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ax.spines['left'].set_color('none')
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ax.spines['bottom'].set_color('none')
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@image_comparison(['spines_data_positions'])
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def test_spines_data_positions():
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fig = plt.figure()
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ax = fig.add_subplot(1, 1, 1)
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ax.spines['left'].set_position(('data', -1.5))
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ax.spines['top'].set_position(('data', 0.5))
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ax.spines['right'].set_position(('data', -0.5))
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ax.spines['bottom'].set_position('zero')
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ax.set_xlim([-2, 2])
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ax.set_ylim([-2, 2])
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@check_figures_equal(extensions=["png"])
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def test_spine_nonlinear_data_positions(fig_test, fig_ref):
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plt.style.use("default")
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ax = fig_test.add_subplot()
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ax.set(xscale="log", xlim=(.1, 1))
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# Use position="data" to visually swap the left and right spines, using
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# linewidth to distinguish them. The calls to tick_params removes labels
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# (for image comparison purposes) and harmonizes tick positions with the
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# reference).
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ax.spines["left"].set_position(("data", 1))
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ax.spines["left"].set_linewidth(2)
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ax.spines["right"].set_position(("data", .1))
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ax.tick_params(axis="y", labelleft=False, direction="in")
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ax = fig_ref.add_subplot()
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ax.set(xscale="log", xlim=(.1, 1))
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ax.spines["right"].set_linewidth(2)
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ax.tick_params(axis="y", labelleft=False, left=False, right=True)
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@image_comparison(['spines_capstyle'])
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def test_spines_capstyle():
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# issue 2542
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plt.rc('axes', linewidth=20)
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fig = plt.figure()
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ax = fig.add_subplot(1, 1, 1)
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ax.set_xticks([])
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ax.set_yticks([])
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def test_label_without_ticks():
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fig = plt.figure()
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ax = fig.add_subplot(1, 1, 1)
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plt.subplots_adjust(left=0.3, bottom=0.3)
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ax.plot(np.arange(10))
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ax.yaxis.set_ticks_position('left')
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ax.spines['left'].set_position(('outward', 30))
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ax.spines['right'].set_visible(False)
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ax.set_ylabel('y label')
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ax.xaxis.set_ticks_position('bottom')
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ax.spines['bottom'].set_position(('outward', 30))
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ax.spines['top'].set_visible(False)
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ax.set_xlabel('x label')
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ax.xaxis.set_ticks([])
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ax.yaxis.set_ticks([])
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plt.draw()
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spine = ax.spines['left']
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spinebbox = spine.get_transform().transform_path(
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spine.get_path()).get_extents()
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assert ax.yaxis.label.get_position()[0] < spinebbox.xmin, \
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"Y-Axis label not left of the spine"
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spine = ax.spines['bottom']
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spinebbox = spine.get_transform().transform_path(
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spine.get_path()).get_extents()
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assert ax.xaxis.label.get_position()[1] < spinebbox.ymin, \
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"X-Axis label not below the spine"
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