In this article, Let’s discuss how to check if a given value exists in the dataframe or not.
Method 1 : Use in operator to check if an element exists in dataframe.
Python3
# import pandas libraryimport pandas as pd# dictionary with list object in valuesdetails = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi', 'Priya', 'Swapnil'], 'Age' : [23, 21, 22, 21, 24, 25], 'University' : ['BHU', 'JNU', 'DU', 'BHU', 'Geu', 'Geu'],}# creating a Dataframe objectdf = pd.DataFrame(details, columns = ['Name', 'Age', 'University'], index = ['a', 'b', 'c', 'd', 'e', 'f'])print("Dataframe: \n\n", df)# check 'Ankit' exist in dataframe or notif 'Ankit' in df.values : print("\nThis value exists in Dataframe")else : print("\nThis value does not exists in Dataframe") |
Output :
Method 2: Use not in operator to check if an element doesn’t exists in dataframe.
Python3
# import pandas libraryimport pandas as pd# dictionary with list object in valuesdetails = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi', 'Priya', 'Swapnil'], 'Age' : [23, 21, 22, 21, 24, 25], 'University' : ['BHU', 'JNU', 'DU', 'BHU', 'Geu', 'Geu'],}# creating a Dataframe objectdf = pd.DataFrame(details, columns = ['Name', 'Age', 'University'], index = ['a', 'b', 'c', 'd', 'e', 'f'])print("Dataframe: \n\n", df)# check 'Ankit' exist in dataframe or notif 'Ankita' not in df.values : print("\nThis value not exists in Dataframe")else : print("\nThis value exists in Dataframe") |
Output :
Method 3 : Check if a single element exist in Dataframe using isin() method of dataframe.
Python3
# import pandas libraryimport pandas as pd# dictionary with list object in valuesdetails = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi', 'Priya', 'Swapnil'], 'Age' : [23, 21, 22, 21, 24, 25], 'University' : ['BHU', 'JNU', 'DU', 'BHU', 'Geu', 'Geu'],}# creating a Dataframe objectdf = pd.DataFrame(details, columns = ['Name', 'Age', 'University'], index = ['a', 'b', 'c', 'd', 'e', 'f'])print("Dataframe: \n\n", df)# isin() methods return Boolean# Dataframe of given Dimension# first any() will return boolean series# and 2nd any() will return single bool valueres = df.isin(['Ankit']).any().any()if res : print("\nThis value exists in Dataframe")else : print("\nThis value does not exists in Dataframe") |
Output :
Method 4 : Check if any of the given values exists in the Dataframe using isin() method of dataframe.
Python3
# import pandas libraryimport pandas as pd# dictionary with list object in valuesdetails = { 'Name' : ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi', 'Priya', 'Swapnil'], 'Age' : [23, 21, 22, 21, 24, 25], 'University' : ['BHU', 'JNU', 'DU', 'BHU', 'Geu', 'Geu'],}# creating a Dataframe objectdf = pd.DataFrame(details, columns = ['Name', 'Age', 'University'], index = ['a', 'b', 'c', 'd', 'e', 'f'])print("Dataframe: \n\n", df)# isin() methods return Boolean Dataframe# of given Dimension first any() will return# boolean series and 2nd any() will return# single boolean valueres = df.isin(['Ankit', 'good', 30]).any().any()if res : print("\nany of the mention value exists in Dataframe") else : print("\nNone of these values exists in Dataframe") |
Output :
