How to Drop Rows with NaN Values in Pandas DataFrame

 

In this article, you’ll see how to drop rows with NaN values in Pandas DataFrame

 

 

 

 

 

 

 

Figure 1

 

 

 

 

 

 

 

Figure 2

 

 

import pandas as pd

 

dataFrame = pd.DataFrame({

    'values1': ['Bahadir','23','34','Melissa','44','89'],

    'values2': ['54','38','Antony','24','35','Julia']

                         })

 

dataFrame = dataFrame.apply (pd.to_numeric, errors='coerce')

dataFrame = dataFrame.dropna()

dataFrame = dataFrame.reset_index(drop=True)

 

print (dataFrame)

 

Hope to see you in the next article. Happy coding