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)>>> 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
>>> df.sort_values(by=['col1'])
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
df = df.reindex(sorted(df.columns), axis=1)
sorted = df.sort_values('column-to-sort-on', ascending=False)
#or
df.sort_values('name', inplace=True)