Trier DataFrame par colonne
df.sort_values(by='col1', ascending=False)
Magnificent Moth
df.sort_values(by='col1', ascending=False)DataFrame.sort_values(self, by, axis=0, ascending=True,
inplace=False, kind='quicksort',
na_position='last',
ignore_index=False)
# Example
df.sort_values(by=['ColToSortBy'])sorted = df.sort_values('column-to-sort-on', ascending=False)
#or
df.sort_values('name', inplace=True) # Basic syntax:
import pandas as pd
df.sort_values(by=['col1'])
# Note, this does not sort in place unless you add inplace=True
# Note, add ascending=False if you want to sort in decreasing order
# Note, to sort by more than one column, add other column names to the
# list like by=['col1', 'col2']df = df.reindex(sorted(df.columns), axis=1)df.sort_values(by='col1', ascending=False, na_position='first', inplace=True)