sort dataframe by column
df.sort_values(by='col1', ascending=False)
sorting by column in pandas
# 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)
pandas sort by columns
# 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)
sort by dataframe
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'])
dataframe sort by column
sorted = df.sort_values('column-to-sort-on', ascending=False) #or df.sort_values('name', inplace=True)
Source: stackoverflow.com
dataframe, sort by columns
final_df = df.sort_values(by=['2'], ascending=False)
Source: stackoverflow.com