Python | Pandas Series.valid()

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 series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.

Pandas Series.valid() function return the same Series object but without the null values.



Syntax: Series.valid(inplace=False, **kwargs)

Parameter :
inplace: boolean

Returns : Series

Example #1: Use Series.valid() function to remove the null values from the given Series object.

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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['New York', 'Chicago', None, 'Toronto', 'Lisbon', 'Rio', 'Chicago', 'Lisbon'])
  
# Print the series
print(sr)

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Output : 




Now we will use Series.valid() function to remove the null values from the given series object.













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# return valid values 


sr.valid() 



















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Output : 




As we can see in the output, the Series.valid() function has returned a Series object containing all the valid value of the original series object on which it was called.

          
          
          
          

            

Example #2:  Use Series.valid() function to remove the null values from the given Series object.











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# importing pandas as pd 


import pandas as pd 


  


# Creating the Series 


sr = pd.Series([100, 214, 325, 88, None, 325, None, 325, 100]) 


  


# Print the series 


print(sr) 



















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Output : 




Now we will use Series.valid() function to remove the null values from the given series object.













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# return valid values 


sr.valid() 



















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Output : 



As we can see in the output, the Series.valid() function has returned a Series object containing all the valid value of the original series object on which it was called.



          
          
          
          

            

    

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