58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
import numpy as np
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import matplotlib as mpl
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from matplotlib.testing.decorators import image_comparison
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import matplotlib.pyplot as plt
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from mpl_toolkits.axes_grid1 import ImageGrid
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# The original version of this test relied on mpl_toolkits's slightly different
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# colorbar implementation; moving to matplotlib's own colorbar implementation
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# caused the small image comparison error.
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@image_comparison(['imagegrid_cbar_mode.png'],
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remove_text=True, style='mpl20', tol=0.3)
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def test_imagegrid_cbar_mode_edge():
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# Remove this line when this test image is regenerated.
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plt.rcParams['pcolormesh.snap'] = False
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X, Y = np.meshgrid(np.linspace(0, 6, 30), np.linspace(0, 6, 30))
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arr = np.sin(X) * np.cos(Y) + 1j*(np.sin(3*Y) * np.cos(Y/2.))
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fig = plt.figure(figsize=(18, 9))
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positions = (241, 242, 243, 244, 245, 246, 247, 248)
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directions = ['row']*4 + ['column']*4
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cbar_locations = ['left', 'right', 'top', 'bottom']*2
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for position, direction, location in zip(
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positions, directions, cbar_locations):
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grid = ImageGrid(fig, position,
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nrows_ncols=(2, 2),
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direction=direction,
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cbar_location=location,
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cbar_size='20%',
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cbar_mode='edge')
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ax1, ax2, ax3, ax4, = grid
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ax1.imshow(arr.real, cmap='nipy_spectral')
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ax2.imshow(arr.imag, cmap='hot')
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ax3.imshow(np.abs(arr), cmap='jet')
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ax4.imshow(np.arctan2(arr.imag, arr.real), cmap='hsv')
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# In each row/column, the "first" colorbars must be overwritten by the
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# "second" ones. To achieve this, clear out the axes first.
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for ax in grid:
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ax.cax.cla()
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cb = ax.cax.colorbar(
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ax.images[0],
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ticks=mpl.ticker.MaxNLocator(5)) # old default locator.
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def test_imagegrid():
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fig = plt.figure()
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grid = ImageGrid(fig, 111, nrows_ncols=(1, 1))
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ax = grid[0]
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im = ax.imshow([[1, 2]], norm=mpl.colors.LogNorm())
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cb = ax.cax.colorbar(im)
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assert isinstance(cb.locator, mpl.colorbar._ColorbarLogLocator)
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