===== Order columns alphabetically ====
scope | tabular data\\
tags | csv, reorder
==== Task ====
Convert
<code>
    name  address  number
     Ane      USA    1212
   Joane  England    2323
</code>
to
<code>
   address   name  number
       USA    Ane    1212
   England  Joane    2323
</code>

==== solution ====
<code>
df = df[sorted(df.columns)]
</code>

==== Example ====
<code>
$ ipython
Python 3.8.5 (default, Sep  3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)]
In [1]:
import pandas as pd
df = pd.DataFrame(
  [['Ane', 'USA', 1212],
   ['Joane', 'England', 2323]],
  columns=['name', 'address', 'number'])
df
Out[1]:
    name  address  number
0    Ane      USA    1212
1  Joane  England    2323

In [2]:
df = df[sorted(df.columns)]

In [3]:
df
Out[3]:
   address   name  number
0      USA    Ane    1212
1  England  Joane    2323
</code>

==== See also ====
  * https://github.com/KamarajuKusumanchi/rutils/blob/master/python3/order_columns.py - my script to do this on the command line
  * https://stackoverflow.com/questions/11067027/re-ordering-columns-in-pandas-dataframe-based-on-column-name - gives other solutions that might be more efficient.