Trier DataFrame par colonne
df.sort_values(by='col1', ascending=False)
Magnificent Moth
df.sort_values(by='col1', ascending=False)# Python, Pandas
# Sorting dataframe df on the values of a column col1
# Return sorted array without modifying the original one
df.sort_values(by=["col1"])
# Sort the original array permanently
df.sort_values(by=["col1"], inplace = True)# Python, Pandas
# Sorting dataframe
# sort by one column
df.sort_values(by=['col1'])
# sort by more columns
df.sort_values(by=['col1', 'col2'])
# defaut values
# DataFrame.sort_values(by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last', ignore_index=False, key=None)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) final_df = df.sort_values(by=['2'], ascending=False)