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test_ppsd.py
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test_ppsd.py
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# -*- coding: utf-8 -*-
"""
Image test(s) for obspy.signal.spectral_exstimation.PPSD.
"""
import matplotlib.pyplot as plt
class TestPPSD:
"""
Test cases for PPSD plotting.
"""
def test_ppsd_plot(self, ignore_numpy_errors, image_path, _ppsd):
"""
Test plot of ppsd example data, normal (non-cumulative) style.
"""
_ppsd.plot(
show=False, show_coverage=True, show_histogram=True,
show_percentiles=True, percentiles=[75, 90],
show_noise_models=True, grid=True, max_percentage=50,
period_lim=(0.02, 100), show_mode=True, show_mean=True)
fig = plt.gcf()
ax = fig.axes[0]
ax.set_ylim(-160, -130)
plt.draw()
fig.savefig(image_path)
def test_ppsd_plot_frequency(self, _ppsd, image_path, ignore_numpy_errors):
"""
Test plot of ppsd example data, normal (non-cumulative) style.
"""
_ppsd.plot(
show=False, show_coverage=False, show_histogram=True,
show_percentiles=True, percentiles=[20, 40],
show_noise_models=True, grid=False, max_percentage=50,
period_lim=(0.2, 50), show_mode=True, show_mean=True,
xaxis_frequency=True)
fig = plt.gcf()
ax = fig.axes[0]
ax.set_ylim(-160, -130)
plt.draw()
fig.savefig(image_path, dpi=50)
def test_ppsd_plot_cumulative(self, ignore_numpy_errors, image_path,
_ppsd):
"""
Test plot of ppsd example data, cumulative style.
"""
_ppsd.plot(
show=False, show_coverage=True, show_histogram=True,
show_noise_models=True, grid=True, period_lim=(0.02, 100),
cumulative=True,
# This does not do anything but silences a warning that
# the `cumulative` and `max_percentage` arguments cannot
# be used at the same time.
max_percentage=None)
fig = plt.gcf()
ax = fig.axes[0]
ax.set_ylim(-160, -130)
plt.draw()
fig.savefig(image_path)