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Python | Pandas dataframe.get()

  • 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() function is used to get item from object for given key. The key could be one or more than one dataframe column. It returns default value if not found.

Syntax: DataFrame.get(key, default=None)

Parameters :
key : object

Returns : value : type of items contained in object

For link to CSV file Used in Code, click here

Example #1: Use get() function to extract a column out of the dataframe




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

Output :

Now apply the get() function. We are going to extract the “Salary” column from the dataframe.




# applying get() function 
df.get("Salary")

Output :

Notice, the output is not a dataframe but a pandas series object.
 
Example #2: Use get() function to extract multiple columns at a time in random order




# importing pandas as pd
import pandas as pd
  
# Creating the dataframe 
df = pd.read_csv("nba.csv")
  
df.get(["Salary", "Team", "Name"])

Output :

A dataframe is returned as output. The ordering of the columns is not according to the actual dataframe but it follows the ordering that we provided to it in the function input.


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