pandas sort by multiple columns code example

Example 1: sort dataframe by column

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

Example 2: df sort values

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

Example 3: sorting by column in pandas

#Python, Pandas
#Sorting dataframe df on the values of a column col1
#Temporary
df.sort_values(by=["col1"]) 

#Permanent
df.sort_values(by=["col1"], inplace = True)

Example 4: sort by two columns in pandas

df.sort_values(['a', 'b'], ascending=[True, False])

Example 5: how to sort in pandas

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

Example 6: pandas sort values by multiple columns

df = df.sort_values(["b", "c"], ascending = (False, True))