sort dataframe by column
df.sort_values(by='col1', ascending=False)
sort dataframe by column
df.sort_values(by='col1', ascending=False)
dataframe, sort by columns
final_df = df.sort_values(by=['2'], ascending=False)
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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