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Python | Pandas dataframe.get_value()
  • Last Updated : 19 Nov, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas dataframe.get_value() function is used to quickly retrieve single value in the data frame at passed column and index. The input to the function is the row label and the column label.

Syntax: DataFrame.get_value(index, col, takeable=False)

Parameters :
index : row label
col : column label
takeable : interpret the index/col as indexers, default False

Returns : value : scalar value



For link to CSV file Used in Code, click here

Example #1: Use get_value() function to find the value of salary in the 10th row

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# importing pandas as pd
import pandas as pd
  
# Creating the dataframe 
df = pd.read_csv("nba.csv")
  
# Print the dataframe
df

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# applying get_value() function 
df.get_value(10, 'Salary')

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Output :

 

Example #2: Use get_value() function and pass the column index value rather than name.

Note : We can also use integer indexer value of columns by setting the takeable parameter=True.

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# importing pandas as pd
import pandas as pd
  
# Creating the dataframe 
df = pd.read_csv("nba.csv")
  
# column index value of "Name" column is 0
# We have set takeable = True
# to interpret the index / col as indexer
df.get_value(4, 0, takeable = True)

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Output :

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