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Magnificent Mongoose answered on March 13, 2020 Popularity 10/10 Helpfulness 2/10

answer sort a dataframe

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sort a dataframe

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-1

sort_na_first = gapminder.sort_values('lifeExp',na_position='first')

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Source: cmdlinetips.com

Tags: dataframe python

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Contributed on May 20 2020

Magnificent Mongoose

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sorting by column in pandas

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# 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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how to sort in pandas

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// 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'

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Tags: pandas pa

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Contributed on Jul 06 2020

icy_milktea27

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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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Source: stackoverflow.com

Tags: dataframe data

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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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Tags: dataframe data

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Contributed on Mar 13 2020

Charred Dolphin

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pandas sort

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df.sort_values(by='col1', ascending=False)
  col1  col2  col3 col4
4    D     7     2    e
5    C     4     3    F
2    B     9     9    c
0    A     2     0    a
1    A     1     1    B
3  NaN     8     4    D

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Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Mar 30 2022

huong huong

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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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Source: stackoverflow.com

Tags: python py

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Contributed on Sep 22 2020

Fantastic Fish

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sort dataset pandas

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df.sort_values(["col1","col2"], ascending = [True, False])

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Contributed on Oct 31 2023

Innocent Iguana

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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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Source: www.geeksforgeeks.org

Tags: pandas pa

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Contributed on Jan 27 2022

nilotpalc

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pandas sort

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-1

df.sort_values(by='col1', ascending=False, na_position='first')
  col1  col2  col3 col4
3  NaN     8     4    D
4    D     7     2    e
5    C     4     3    F
2    B     9     9    c
0    A     2     0    a
1    A     1     1    B

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Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Mar 30 2022

huong huong

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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 a dataframe

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