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