Edited some comments
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@@ -18,7 +18,7 @@ def load_bad_annotations(filepath, fileending="badSegments.csv"):
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def load_preprocessed_data(subject, dataset):
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"""
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Load the raw object as well as the annotations of the preprocessed file
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Load the raw object of the preprocessed file
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:param subject: The subject, for which we want to load the raw object
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:param dataset: The currently viewed dataset
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:param selected_subjects: The manually preprocessed subjects
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@@ -58,7 +58,8 @@ def plot_grand_average(dataset):
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def plot_tf_cluster(F, clusters, cluster_p_values, freqs, times):
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"""
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Plot teh F-Statistic values of permutation clusters with p-values <= 0.05 in color and > 0.05 in grey.
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Plot the F-Statistic values of permutation clusters with p-values <= 0.05 in color and > 0.05 in grey.
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Currently only works well for the linear scaling. For the logarithmic scaling a different x-axis has to be chosen
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:param F: F-Statistics of the permutation clusters
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:param clusters: all permutation clusters
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@@ -81,9 +82,19 @@ def plot_tf_cluster(F, clusters, cluster_p_values, freqs, times):
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def plot_oscillation_bands(condition):
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"""
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Plot the oscillation bands for a given condition in the time from 130ms to 200ms
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:param condition: the condition to plot the oscillation bands for
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"""
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fig, axis = plt.subplots(1, 5, figsize=(25, 5))
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condition.plot_topomap(baseline=(-0.2, 0), fmin=0, fmax=4, title='Delta', axes=axis[0], show=False, vmin=0, vmax=1.5, tmin=0, tmax=1)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=4, fmax=8, title='Theta', axes=axis[1], show=False, vmin=0, vmax=0.7, tmin=0, tmax=1)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=8, fmax=12, title='Alpha', axes=axis[2], show=False, vmin=-0.15, vmax=0.2, tmin=0, tmax=1)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=13, fmax=30, title='Beta', axes=axis[3], show=False, vmin=-0.18, vmax=0.2, tmin=0, tmax=1)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=30, fmax=45, title='Gamma', axes=axis[4], vmin=0, vmax=0.2, tmin=0, tmax=1)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=0, fmax=4, title='Delta', axes=axis[0], show=False, vmin=0,
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vmax=1.5, tmin=0.13, tmax=0.2)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=4, fmax=8, title='Theta', axes=axis[1], show=False, vmin=0,
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vmax=0.7, tmin=0.13, tmax=0.2)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=8, fmax=12, title='Alpha', axes=axis[2], show=False, vmin=-0.25,
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vmax=0.2, tmin=0.13, tmax=0.2)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=13, fmax=30, title='Beta', axes=axis[3], show=False, vmin=-0.21,
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vmax=0.2, tmin=0.13, tmax=0.2)
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condition.plot_topomap(baseline=(-0.2, 0), fmin=30, fmax=45, title='Gamma', axes=axis[4], vmin=-0.05, vmax=0.2,
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tmin=0.13,
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tmax=0.2)
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