how to sort in pandas

1# Python, Pandas
2# Sorting dataframe df on the values of a column col1
3
4# Return sorted array without modifying the original one
5df.sort_values(by=["col1"]) 
6
7# Sort the original array permanently
8df.sort_values(by=["col1"], inplace = True)

1>>> df.sort_values(by=['col1'], ascending = False)
2    col1 col2 col3
30   A    2    0
41   A    1    1
52   B    9    9
65   C    4    3
74   D    7    2
83   NaN  8    4
9

1>>> df.sort_values(by=['col1'])
2    col1 col2 col3
30   A    2    0
41   A    1    1
52   B    9    9
65   C    4    3
74   D    7    2
83   NaN  8    4
9

1// Single sort 
2>>> df.sort_values(by=['col1'],ascending=False)
3// ascending => [False(reverse order) & True(default)]
4// Multiple Sort
5>>> df.sort_values(by=['col1','col2'],ascending=[True,False])
6// with apply() 
7>>> df[['col1','col2']].apply(sorted,axis=1)
8// axis = [1 & 0], 1 = 'columns', 0 = 'index'

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'])

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']