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Stop stopping at each plot to show it

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This commit is contained in:
levita_a
2026-03-24 16:56:44 +01:00
parent 603486e824
commit f55b35f0dd
1 changed files with 6 additions and 24 deletions
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tests/tools/test_plotting.py
+6 -24
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@@ -11,21 +11,16 @@ def test_plot_amplitude(show_plot):
# Test with tensor
im = t.as_tensor(scipy.datasets.ascent(), dtype=t.complex128)
plotting.plot_amplitude(im, basis=np.array([[0, -1], [-1, 0], [0, 0]]), title='Test Amplitude')
if show_plot:
plt.show()
plt.close('all')
# Test with numpy array and an extra dimension
im = np.stack([scipy.datasets.ascent().astype(np.complex128)]*3, axis=0)
plotting.plot_amplitude(im, title='Test Amplitude')
if show_plot:
plt.show()
plt.close('all')
# Test with pytorch tensor and two extra dimensions
im = t.as_tensor(np.stack([im]*5, axis=0))
plotting.plot_amplitude(im, title='Test Amplitude',
additional_axis_labels=['Hi','There'])
if show_plot:
plt.show()
plt.close('all')
@@ -34,13 +29,11 @@ def test_plot_phase(show_plot):
# Test with tensor
im = initializers.gaussian([512, 512], [200, 200], amplitude=100, curvature=[.1, .1])
plotting.plot_phase(im, title='Test Phase')
if show_plot:
plt.show()
plt.close('all')
# Test with numpy array
im = initializers.gaussian([512, 512], [200, 200], amplitude=100, curvature=[.1, .1]).numpy()
plotting.plot_phase(im, title='Test Phase', basis=np.array([[0, -1], [-1, 0], [0, 0]]))
if show_plot:
plt.show()
plt.close('all')
@@ -51,13 +44,11 @@ def test_plot_colorized(show_plot):
gaussian = initializers.gaussian([512, 512], [200, 200], amplitude=100, curvature=[.1, .1])
im = gaussian * t.as_tensor(scipy.datasets.ascent(), dtype=t.complex64)
plotting.plot_colorized(im, title='Test Colorize', basis=np.array([[0, -1], [-1, 0], [0, 0]]))
if show_plot:
plt.show()
plt.close('all')
# Test with numpy array and hsv
im = im.numpy()
plotting.plot_colorized(im, title='Test Colorize', use_cmocean=False)
if show_plot:
plt.show()
plt.close('all')
@@ -70,13 +61,11 @@ def test_plot_translations(show_plot):
# numpy, defaults
plotting.plot_translations(trans_np)
if show_plot:
plt.show()
plt.close('all')
# torch tensor and reuse figure
fig = plotting.plot_translations(trans_t)
plotting.plot_translations(trans_np, lines=False, color='red', label='scan', fig=fig, clear_fig=False)
if show_plot:
plt.show()
plt.close('all')
@@ -90,12 +79,10 @@ def test_plot_nanomap(show_plot):
# numpy, defaults
plotting.plot_nanomap(trans_np, values_np)
if show_plot:
plt.show()
plt.close('all')
# torch tensors
plotting.plot_nanomap(trans_t, values_t, units='nm', cmap_label='Intensity', convention='sample')
if show_plot:
plt.show()
plt.close('all')
@@ -117,19 +104,14 @@ def test_plot_nanomap_with_images(show_plot):
# basic call, no values
plotting.plot_nanomap_with_images(trans_np, get_image_2d)
if show_plot:
plt.show()
plt.close('all')
# with explicit values
plotting.plot_nanomap_with_images(trans_t, get_image_2d, values=values_np)
if show_plot:
plt.show()
plt.close('all')
# 3D image stack
fig = plt.figure(figsize=(11,7))
plotting.plot_nanomap_with_images(trans_np, get_image_3d, values=values_t, fig=fig)
if show_plot:
plt.show()
plt.close('all')