digit Recognition

#p = sns.heatmap(np.reshape(X[idx], (28,28)), cmap=plt.cm.gray,
p = sns.heatmap(np.array(X.loc[idx]).reshape(28,28), cmap=plt.cm.gray,

samples_per_class = 5 #figure = plt.figure(figsize=(nclasses2,(1+samples_per_class2))) figure = plt.figure(figsize=(25,(11))) idx_cls = 0 for cls in classes: idxs = np.flatnonzero(y == cls) idxs = np.random.choice(idxs, samples_per_class, replace=False) i = 0 for idx in idxs: plt_idx = i * nclasses + idx_cls + 1 p = plt.subplot(samples_per_class, nclasses, plt_idx); #p = sns.heatmap(np.reshape(X[idx], (28,28)), cmap=plt.cm.gray, p = sns.heatmap(np.array(X.loc[idx]).reshape(28,28), cmap=plt.cm.gray, xticklabels=False, yticklabels=False, cbar=False); p = plt.axis('off'); i += 1 idx_cls += 1