pandas histogram: plot histogram for each column as subplot of a big figure

Question

I am using the following code, trying to plot the histogram of every column of a my pandas data frame df_in as subplot of a big figure.

%matplotlib notebook
from itertools import combinations
import matplotlib.pyplot as plt

fig, axes = plt.subplots(len(df_in.columns) // 3, 3, figsize=(12, 48))
for x in df_in.columns:
    df_in.hist(column = x, bins = 100)

fig.tight_layout()

However, the histogram didn't show in the subplot. Any one knows what I missed? Thanks!

Answer 1

import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

fig, axis = plt.subplots(2,3,figsize=(8, 8))
df_in.hist(ax=axis)

The above will plot a 2*3 (total 6 histogram for your dataframe). Adjust the rows and columns as per your arrangement requirements(# of columns)

My TA @Benjamin once told me , dataframe means do not have to use for loop.

Answer 2

I can't comment burhan's answer because I don't have enough reputation points. The problem with his answer is that axes isn't one-dimensional, it contains axes triads, so it needs to be unrolled:

%matplotlib notebook
from itertools import combinations
import matplotlib.pyplot as plt

fig, axes = plt.subplots(len(df_in.columns)//3, 3, figsize=(12, 48))

i = 0
for triaxis in axes:
    for axis in triaxis:
        df_in.hist(column = df_in.columns[i], bins = 100, ax=axis)
        i = i+1