sort dataframe by column
df.sort_values(by='col1', ascending=False)sort dataframe by column
df.sort_values(by='col1', ascending=False)sort a dataframe by a column valuepython
>>> 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 4python sort dataframe by one column
#following is example of sorting by the column "2" in descending order
final_df = df.sort_values(by=['2'], ascending=False)sort dataframe by column
df.sort_values(by='col1', ascending=False, na_position='first', inplace=True)sort pandas dataframe by specific column
In [18]:
df.sort_values('2')
Out[18]:
0 1 2
4 85.6 January 1.0
3 95.5 February 2.0
7 104.8 March 3.0
0 354.7 April 4.0
8 283.5 May 5.0
6 238.7 June 6.0
5 152.0 July 7.0
1 55.4 August 8.0
11 212.7 September 9.0
10 249.6 October 10.0
9 278.8 November 11.0
2 176.5 December 12.0pandas order dataframe by column of other dataframe
df1 = df1.set_index('column_in_df1')
df1 = df1.reindex(index=df2['column_in_df2'])
df1 = df1.reset_index()Copyright © 2021 Codeinu
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