Answers for "sort by column pandas dataframe"

sort dataframe by column

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

sort a dataframe by a column valuepython

>>> df.sort_values(by=['col1'])
    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

dataframe, sort by columns

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

sort df by column

df.rename(columns={1:'month'},inplace=True)
df['month'] = pd.Categorical(df['month'],categories=['December','November','October','September','August','July','June','May','April','March','February','January'],ordered=True)
df = df.sort_values('month',ascending=False)

python dataframe sort by column name

>>> result = df.sort(['A', 'B'], ascending=[1, 0])