python: best way convey missing value count
<p>I currently have a data frame with 9 features and some features have missing values. I do the following to get the <code>count</code> of missing values in each feature:</p>

<pre><code>df.isnull().sum()
</code></pre>

<p>which gives me:</p>

<pre><code>A           0
B           0
C    15844523
D         717
E       18084
F      118679
G           0
H      978505
I           0
</code></pre>

<p>I want to display this information in a nice way. I can always create a table in the report but is there any other way to display this in a plot?</p>

<p>You can visualize the count of the missing values with vertical bars.</p>

<p>Use the pandas.DataFrame.plot() method :</p>

<pre><code>df.isnull().sum().plot(kind='bar')
</code></pre>

<p>For more fancy plots you can use the python library
<a href="https://plot.ly/python/" rel="nofollow"> <strong>plot.ly</strong></a></p>

python python-2.7 pandas visualization data-visualization