print("number of feature appearances:\ {}format(np bincount( [: ]))out[ ]number of feature appearances[ the value seems to be the most commonwith appearances (bincount always starts at )and the counts for higher values fall quickly howeverthere are some very high valueslike appearing twice we visualize the counts in figure - in[ ]bins np bincount( [: ]plt bar(range(len(bins))binscolor=' 'plt ylabel("number of appearances"plt xlabel("value"figure - histogram of feature values for [ univariate nonlinear transformations