Pandas Set Column Value Based On Condition

Pandas Set Column Value Based On Condition - 10 Answers Sorted by 210 one way to do this would be to use indexing with loc Example In the absence of an example dataframe I ll make one up here import numpy as np import pandas as pd df pd DataFrame c1 list abcdefg df loc 5 c1 Value df c1 0 a 1 b 2 c 3 d 4 e 5 Value 6 g 1 DSM has answered this question but I meant something like df C df apply myFunc row axis 1 where myFunc does what you want this does not involve creating 3 columns EdChum Feb 11 2014 at 13 05 1 Possible duplicate of Pandas conditional creation of a series dataframe column 13 Answers Sorted by 1041 If you only have two choices to select from then use np where df color np where df Set Z green red For example import pandas as pd import numpy as np df pd DataFrame Type list ABBC Set list ZZXY df color np where df Set Z green red print df yields

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Pandas Set Column Value Based On Condition

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Set Pandas Conditional Column Based On Values Of Another Column Datagy

Set pandas conditional column based on values of another column datagy

Method1 Using Pandas loc to Create Conditional Column Pandas loc can create a boolean mask based on condition It can either just be selecting rows and columns or it can be used

Python Conditionally set pandas dataframe column values Stack Overflow Conditionally set pandas dataframe column values Asked 7 years 4 months ago Modified 7 years 4 months ago Viewed 5k times 2 This question is exactly as the following request with one more twist Pandas Replacing column values in dataframe

Pandas Set Column As Index In DataFrame Spark By Examples

Pandas set column as index in dataframe spark by examples

Pandas Python Fill NaN With Value Based On Condition On Other

Pandas python fill nan with value based on condition on other

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1 Answer Sorted by 2 For DataFrame wide replacements that isn t quite right Use where or mask df df where df 0 S1 where df 0 S0 df a b 0 S0 S1 1 S0 S1 Alternatively you can use np select

4 Answers Sorted by 13 What I want to achieve Condition where column2 2 leave to be 2 if column1 30 elsif change to 3 if column1 90 This can be simplified into where column2 2 and column1 90 set column2 to 3 The column1 30 part is redundant since the value of column2 is only going to change from 2 to 3 if column1 90