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 4
sorting rows and columns in pandas
df.sort_values(by="ColumnName", axis=0, ascending=False, inplace=False, kind='quicksort')
#axis 0 is rows and axis 1 is columns. For axis 0 by needs to contain column name
python 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)
dataframe sort by column
sorted = df.sort_values('column-to-sort-on', ascending=False)
#or
df.sort_values('name', inplace=True)
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