In Python, how to sort a Pandas dataframe by column ?
In Python, you can sort a Pandas dataframe by a given column with the .sort_values() method. Let's consider the following dataframe:
col1 col2 col3
0 Beta 1 4
1 Alpha 2 7
2 Charly 3 4
The following command sorts the dataframe by column col1 (ascending):
>>> df.sort_values(['col1'])
col1 col2 col3
1 Alpha 2 7
0 Beta 1 4
2 Charly 3 4
The following command sorts the dataframe by column col2 (descending):
>>> df.sort_values(['col2'], ascending = False)
col1 col2 col3
2 Charly 3 4
1 Alpha 2 7
0 Beta 1 4
The following command sorts the dataframe by column col3, then col2 (ascending):
>>> df.sort_values(['col3', 'col2'])
col1 col2 col3
0 Beta 1 4
2 Charly 3 4
1 Alpha 2 7
In Python, you can sort a Pandas dataframe by a given column with the .sort_values() method. Let's consider the following dataframe:
col1 col2 col3
0 Beta 1 4
1 Alpha 2 7
2 Charly 3 4
The following command sorts the dataframe by column col1 (ascending):
>>> df.sort_values(['col1'])
col1 col2 col3
1 Alpha 2 7
0 Beta 1 4
2 Charly 3 4
The following command sorts the dataframe by column col2 (descending):
>>> df.sort_values(['col2'], ascending = False)
col1 col2 col3
2 Charly 3 4
1 Alpha 2 7
0 Beta 1 4
The following command sorts the dataframe by column col3, then col2 (ascending):
>>> df.sort_values(['col3', 'col2'])
col1 col2 col3
0 Beta 1 4
2 Charly 3 4
1 Alpha 2 7
In Python, you can sort a Pandas dataframe by a given column with the .sort_values() method. Let's consider the following dataframe:
col1 col2 col3
0 Beta 1 4
1 Alpha 2 7
2 Charly 3 4
The following command sorts the dataframe by column col1 (ascending):
>>> df.sort_values(['col1'])
col1 col2 col3
1 Alpha 2 7
0 Beta 1 4
2 Charly 3 4
The following command sorts the dataframe by column col2 (descending):
>>> df.sort_values(['col2'], ascending = False)
col1 col2 col3
2 Charly 3 4
1 Alpha 2 7
0 Beta 1 4
The following command sorts the dataframe by column col3, then col2 (ascending):
>>> df.sort_values(['col3', 'col2'])
col1 col2 col3
0 Beta 1 4
2 Charly 3 4
1 Alpha 2 7
In Python, you can sort a Pandas dataframe by a given column with the .sort_values() method. Let's consider the following dataframe:
col1 col2 col3
0 Beta 1 4
1 Alpha 2 7
2 Charly 3 4
The following command sorts the dataframe by column col1 (ascending):
>>> df.sort_values(['col1'])
col1 col2 col3
1 Alpha 2 7
0 Beta 1 4
2 Charly 3 4
The following command sorts the dataframe by column col2 (descending):
>>> df.sort_values(['col2'], ascending = False)
col1 col2 col3
2 Charly 3 4
1 Alpha 2 7
0 Beta 1 4
The following command sorts the dataframe by column col3, then col2 (ascending):
>>> df.sort_values(['col3', 'col2'])
col1 col2 col3
0 Beta 1 4
2 Charly 3 4
1 Alpha 2 7
In Python, you can sort a Pandas dataframe by a given column with the .sort_values() method. Let's consider the following dataframe:
col1 col2 col3
0 Alpha 1 4
1 Beta 2 7
2 Charly 3 4
The following command sorts the dataframe by column col1 (ascending):
df.sort_values(['col1'])
The following command sorts the dataframe by column col2 (descending):
df.sort_values(['col1'], ascending = False)
The following command sorts the dataframe by column col3, then col2 (ascending):
df.sort_values(['col3', 'col2'])
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