f25d4df0127537d57d4d7f7cd3fa52ca31ffa3ff,examples/03_connectivity/plot_inverse_covariance_connectome.py,,,#,28

Before Change

plt.imshow(estimator.covariance_, interpolation="nearest",
           vmax=1, vmin=-1, cmap=plt.cm.RdBu_r)
// And display the labels
x_ticks = plt.xticks(range(len(labels)), labels, rotation=90)
y_ticks = plt.yticks(range(len(labels)), labels)
plt.title("Covariance")

////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

After Change

from matplotlib import pyplot as plt
from nilearn.plotting.matrix_plotting import plot_matrix
// Display the covariance
plt.figure(figsize=(8, 8))

// The covariance can be found at estimator.covariance_
plot_matrix(estimator.covariance_, labels=labels, ax=plt.gca(),

Instances