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 4df 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 4sort 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 4sort by two columns in pandas
df.sort_values(['a', 'b'], ascending=[True, False])sort columns dataframe
df = df.reindex(sorted(df.columns), axis=1)merge two dataframes based on column
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_colpandas merge sort columns
result = df1.merge(df2, how='outer').sort_index(axis=1)Copyright © 2021 Codeinu
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