Plotting a dataframe as both a 'hist' and 'kde' on the same plot

Question

I have a pandas dataframe with user information. I would like to plot the age of users as both a kind=\'kde\' and on kind=\'hist\' on

Answer 1

In case you want it for all the columns of your dataframe:

fig, ax = plt.subplots(8,3, figsize=(20, 50)) 
# you can change the distribution, I had 22 columns, so 8x3 is fine to me
fig.subplots_adjust(hspace = .2, wspace=.2, )

ax = ax.ravel()

for i in range(len(I_df.columns)):
    ax[i] = I_df.iloc[:,i].plot(kind='hist', ax=ax[i])
    ax[i] = I_df.iloc[:,i].plot(kind='kde', ax=ax[i], secondary_y=True)
    plt.title(I_df.columns[i])

I hope it helps :)