99fe730f9963f87aaf5d614bb74d60fc3d8e8173,examples/connectivity/plot_probabilistic_atlas_extraction.py,,,#,24

Before Change

from matplotlib import pyplot as plt
plt.figure(figsize=(10, 10))
// Mask out the major diagonal
correlation_matrix[range(correlation_matrix.shape[-1]),
                   range(correlation_matrix.shape[-1])] = 0
plt.imshow(correlation_matrix, interpolation="nearest", cmap="RdBu_r",
           vmax=0.8, vmin=-0.8)
plt.colorbar()

After Change

from matplotlib import pyplot as plt
plt.figure(figsize=(10, 10))
// Mask out the major diagonal
np.fill_diagonal(correlation_matrix, 0)
plt.imshow(correlation_matrix, interpolation="nearest", cmap="RdBu_r",
           vmax=0.8, vmin=-0.8)
plt.colorbar()
// And display the labels

Instances