title: How to make a distplot for each column in a pandas dataframe
body: <p>I 'm using <a href="https://seaborn.pydata.org/" rel="nofollow noreferrer">Seaborn</a> in a Jupyter notebook to plot histograms like this:</p>
  
  <pre><code>import numpy as np
  import pandas as pd
  from pandas import DataFrame
  import matplotlib.pyplot as plt
  import seaborn as sns
  
  %matplotlib inline
  
  df = pd.read_csv('CTG.csv', sep=',')
  
  sns.distplot(df['LBE'])
  </code></pre>
  
  <p>I have an array of columns with values that I want to plot histogram for and I tried plotting a histogram for each of them:</p>
  
  <pre><code>continous = ['b', 'e', 'LBE', 'LB', 'AC']
  
  for column in continous:
      sns.distplot(df[column])
  </code></pre>
  
  <p>And I get this result - only one plot with (presumably) all histograms:</p>
  
  <p><a href="https://i.stack.imgur.com/thhbQ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/thhbQ.png" alt="enter image description here"></a></p>
  
  <p>My desired result is multiple histograms that looks like this (one for each variable):</p>
  
  <p><a href="https://i.stack.imgur.com/ojYCZ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/ojYCZ.png" alt="enter image description here"></a></p>
  
  <p>How can I do this?</p>