sort by dataframe

1df.sort_values(by='col1', ascending=False)

1DataFrame.sort_values(self, by, axis=0, ascending=True,
2                      inplace=False, kind='quicksort',
3                      na_position='last',
4                      ignore_index=False)
5
6# Example
7df.sort_values(by=['ColToSortBy'])

1sorted = df.sort_values('column-to-sort-on', ascending=False)
2#or
3df.sort_values('name', inplace=True) 

1# Basic syntax:
2import pandas as pd
3df.sort_values(by=['col1'])
4
5# Note, this does not sort in place unless you add inplace=True
6# Note, add ascending=False if you want to sort in decreasing order
7# Note, to sort by more than one column, add other column names to the
8#	list like by=['col1', 'col2']

1df.sort_values(by='col1', ascending=False, na_position='first', inplace=True)

1sort_na_first = gapminder.sort_values('lifeExp',na_position='first')
2