sort a dataframe

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

1#Python, Pandas
2#Sorting dataframe df on the values of a column col1
3#Temporary
4df.sort_values(by=["col1"]) 
5
6#Permanent
7df.sort_values(by=["col1"], inplace = True)

1final_df = df.sort_values(by=['2'], ascending=False)

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']

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

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