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 4df 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 4dataframe, sort by columns
final_df = df.sort_values(by=['2'], ascending=False)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)sort a dataframe
sort_na_first = gapminder.sort_values('lifeExp',na_position='first')Copyright © 2021 Codeinu
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