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)pandas sort dataframe alphabetically by column
dict_ = {
'C':[1,2,3,4],
'B':[2,4,5,8],
'A':[7,5,7,8],
'D':[1,7,8,7]
}
from pandas import DataFrame
df = DataFrame(dict_)
#unorder columns
df
C B A D
0 1 2 7 1
1 2 4 5 7
2 3 5 7 8
3 4 8 8 7
#only follow from this line when have existing dataframe.
col = df.columns
col = list(col)
['C', 'B', 'A', 'D'] #unorder column
col.sort()
df = df[col]
df
#ordred columns.
A B C D
0 7 2 1 1
1 5 4 2 7
2 7 5 3 8
3 8 8 4 7Copyright © 2021 Codeinu
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