sort pd dataframe code example
Example 1: 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 4
Example 2: how to sort in pandas
// Single sort
>>> df.sort_values(by=['col1'],ascending=False)
// ascending => [False(reverse order) & True(default)]
// Multiple Sort
>>> df.sort_values(by=['col1','col2'],ascending=[True,False])
// with apply()
>>> df[['col1','col2']].apply(sorted,axis=1)
// axis = [1 & 0], 1 = 'columns', 0 = 'index'
Example 3: sort by dataframe
DataFrame.sort_values(self, by, axis=0, ascending=True,
inplace=False, kind='quicksort',
na_position='last',
ignore_index=False)
df.sort_values(by=['ColToSortBy'])
Example 4: dataframe, sort by columns
final_df = df.sort_values(by=['2'], ascending=False)
Example 5: dataframe sort by column
sorted = df.sort_values('column-to-sort-on', ascending=False)
df.sort_values('name', inplace=True)
Example 6: sort columns dataframe
df = df.reindex(sorted(df.columns), axis=1)