pandas reorder columns by name
#old df columns df.columns Index(['A', 'B', 'C', 'D'],dtype='***') #new column format that we want to rearange new_col = ['D','C','B','A'] #list of column name in order that we want df = df[new_col] df.columns Index(['D', 'C', 'B', 'A'],dtype='***') #new column order
pandas reorder columns
# Get column list in ['item1','item2','item3'] format df.columns # [0]output: Index(['item1','item2','item3'], dtype='object') # Copy just the list portion of the output and rearrange the columns cols = ['item3','item1','item2'] # Resave dataframe using new column order df = df[cols]
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