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pandas sort

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huong huong answered on March 13, 2020 Popularity 10/10 Helpfulness 5/10

answer pandas sort

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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 python

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Contributed on Mar 30 2022

huong huong

0 Answers Avg Quality 2/10

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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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Source: Grepper

Tags: pandas pa

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Contributed on Jul 06 2020

icy_milktea27

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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'])

Popularity 10/10 Helpfulness 6/10 Language python

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Tags: dataframe data

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Contributed on Mar 13 2020

Charred Dolphin

0 Answers Avg Quality 2/10

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

Popularity 10/10 Helpfulness 6/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Mar 30 2022

huong huong

0 Answers Avg Quality 2/10

pandas series sort

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s.sort_values(ascending=True)
1     1.0
2     3.0
4     5.0
3    10.0
0     NaN
dtype: float64

Popularity 9/10 Helpfulness 5/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Sep 11 2022

Courageous Cod

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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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pandas sort dataframe by column

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# 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']

Popularity 10/10 Helpfulness 4/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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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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df.sort_values(by=['col1'])

Popularity 10/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on May 30 2021

Troubled Turtle

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sort a dataframe

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-1

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

Popularity 10/10 Helpfulness 2/10 Language python

Source: cmdlinetips.com

Tags: dataframe data

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Contributed on May 20 2020

Magnificent Mongoose

0 Answers Avg Quality 2/10

pandas sort

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