Pandas Series.fillna() Method

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 fillna() Syntax

Pandas Series.fillna() function is used to fill Pandas NA/NaN values using the specified method.

Syntax: Series.fillna(value=None, method=None, axis=None, inplace=False, limit=None, downcast=None, **kwargs) 

Parameter : 

• value : Value to use to fill holes 
• method : Method to use for filling holes in reindexed Series pad / ffill 
• axis : {0 or ‘index’} 
• inplace : If True, fill in place. 
• limit : If method is specified, this is the maximum number of consecutive NaN values to forward/backward fill 
• downcast : dict, default is None

Returns : filled : Series

Pandas DataFrame fillna() Examples

Example 1: Use Series.fillna() function to fill out the missing values in the given series object. Use a dictionary to pass the values to be filled corresponding to the different index labels in the series object. 

Output : 

 

Now we will use Series.fillna() function to fill out the missing values in the given series object. 

Output : 

 

As we can see in the output, the Series.fillna() function has successfully filled out the missing values in the given series object.   

Example 2: Use Series.fillna() function to fill out the missing values in the given series object using forward fill (ffill) method. 

Output : 

 

 Now we will use Series.fillna() function to fill out the missing values in the given series object. We will use forward fill method to fill out the missing values. 

Output : 

 

 As we can see in the output, the Series.fillna() function has successfully filled out the missing values in the given series object.