I would like to compare two histograms by having the Y axis show the percentage of each column from the overall dataset size instead of an absolute value. Is that possible?
Looks like @CarstenKönig found the right way:
df.hist(bins=20, weights=np.ones_like(df[df.columns[0]]) * 100. / len(df))