sort dataframe by column
df.sort_values(by='col1', ascending=False)sort dataframe by column
df.sort_values(by='col1', ascending=False)df sort values
>>> df.sort_values(by=['col1'], ascending = False)
col1 col2 col3
0 A 2 0
1 A 1 1
2 B 9 9
5 C 4 3
4 D 7 2
3 NaN 8 4sort 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)sort dataframe by column
df.sort_values(by='col1', ascending=False, na_position='first', inplace=True)python dataframe sort by column name
>>> result = df.sort(['A', 'B'], ascending=[1, 0])Copyright © 2021 Codeinu
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