python more order of columns
In [7]: cols = df.columns.tolist() In [8]: cols Out[8]: [0L, 1L, 2L, 3L, 4L, 'mean'] In [12]: cols = cols[-1:] + cols[:-1] In [13]: cols Out[13]: ['mean', 0L, 1L, 2L, 3L, 4L] In [14]: df = df[cols]
python more order of columns
In [7]: cols = df.columns.tolist() In [8]: cols Out[8]: [0L, 1L, 2L, 3L, 4L, 'mean'] In [12]: cols = cols[-1:] + cols[:-1] In [13]: cols Out[13]: ['mean', 0L, 1L, 2L, 3L, 4L] In [14]: df = df[cols]
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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