# Plot overlaid histograms for continuous features for i in ['Age', 'Fare']: died = list(titanic[titanic['Survived'] == 0][i].dropna()) survived = list(titanic[titanic['Survived'] == 1][i].dropna()) xmin = min(min(died), min(survived)) xmax = max(max(died), max(survived)) width = (xmax - xmin) / 40 sns.distplot(died, color='r', kde=False, bins=np.arange(xmin, xmax, width)) sns.distplot(survived, color='g', kde=False, bins=np.arange(xmin, xmax, width)) plt.legend(['Did not survive', 'Survived']) plt.title('Overlaid histogram for {}'.format(i)) plt.show()
Preview:
downloadDownload PNG
downloadDownload JPEG
downloadDownload SVG
Tip: You can change the style, width & colours of the snippet with the inspect tool before clicking Download!
Click to optimize width for Twitter