"sort df by column" Code Answer's
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sort dataframe by column
Magnificent Moth
on Apr 30, 2020
df.sort_values(by='col1', ascending=False)sort a dataframe by a column valuepython
Better Badger
on Feb 06, 2020
>>> 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
Source: pandas.pydata.org
sorting by column in pandas
Ahh the negotiatior
on Apr 08, 2020
#Python, Pandas
#Sorting dataframe df on the values of a column col1
#Temporary
df.sort_values(by=["col1"])
#Permanent
df.sort_values(by=["col1"], inplace = True)how to sort in pandas
icy_milktea27
on Jul 06, 2020
// 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'sort by dataframe
Charred Dolphin
on Mar 13, 2020
DataFrame.sort_values(self, by, axis=0, ascending=True,
inplace=False, kind='quicksort',
na_position='last',
ignore_index=False)
# Example
df.sort_values(by=['ColToSortBy'])sort df by column
Bad Barracuda
on May 29, 2020
df.rename(columns={1:'month'},inplace=True)
df['month'] = pd.Categorical(df['month'],categories=['December','November','October','September','August','July','June','May','April','March','February','January'],ordered=True)
df = df.sort_values('month',ascending=False)Source: stackoverflow.com
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