# 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)

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Tags: pandas pa

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Contributed on Apr 08 2020

Ahh the negotiatior

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sort a dataframe by a column valuepython

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>>> 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

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Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Feb 06 2020

Better Badger

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dataframe sort by column

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sorted = df.sort_values('column-to-sort-on', ascending=False)
#or
df.sort_values('name', inplace=True)

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Contributed on May 13 2020

Exuberant Eel

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sort by dataframe

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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'])

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Contributed on Mar 13 2020

Charred Dolphin

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sort df by column

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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)

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Contributed on May 29 2020

Bad Barracuda

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dataframe, sort by columns

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final_df = df.sort_values(by=['2'], ascending=False)

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Contributed on Sep 22 2020

Fantastic Fish

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Sorting Dataframes by Column Python Pandas

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# Sorting Pandas Dataframe in Descending Order
  
# importing pandas library
import pandas as pd
  
# Initializing the nested list with Data set
age_list = [['Afghanistan', 1952, 8425333, 'Asia'],
            ['Australia', 1957, 9712569, 'Oceania'],
            ['Brazil', 1962, 76039390, 'Americas'],
            ['China', 1957, 637408000, 'Asia'],
            ['France', 1957, 44310863, 'Europe'],
            ['India', 1952, 3.72e+08, 'Asia'],
            ['United States', 1957, 171984000, 'Americas']]
  
# creating a pandas dataframe
df = pd.DataFrame(age_list, columns=['Country', 'Year',
                                     'Population', 'Continent'])
  
# Sorting by column "Population"
df.sort_values(by=['Population'], ascending=False)

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Contributed on Jan 27 2022

nilotpalc

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pandas sort by columns

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# Python, Pandas
# Sorting dataframe

# sort by one column
df.sort_values(by=['col1']) 

# sort by more columns
df.sort_values(by=['col1', 'col2'])

# defaut values
# DataFrame.sort_values(by, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last', ignore_index=False, key=None)

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Contributed on Jun 23 2022

King Of Fools

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sort columns dataframe

Comment

-1

df = df.reindex(sorted(df.columns), axis=1)

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Contributed on Sep 02 2020

Better Beetle

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pandas sort dataframe by column

Comment

# Basic syntax:
import pandas as pd
df.sort_values(by=['col1'])

# Note, this does not sort in place unless you add inplace=True
# Note, add ascending=False if you want to sort in decreasing order
# Note, to sort by more than one column, add other column names to the
#	list like by=['col1', 'col2']

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Source: pandas.pydata.org

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Contributed on May 23 2021

Charles-Alexandre Roy

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pandas dataframe sort by column

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