Python | Pandas Series.quantile()

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.quantile() function return value at the given quantile for the underlying data in the given Series object.

Syntax: Series.quantile(q=0.5, interpolation=’linear’) 

Parameter : 
q : float or array-like, default 0.5 (50% quantile) 
interpolation : {‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’} 

Returns : quantile : float or Series

Example #1: Use Series.quantile() function to return the desired quantile of the underlying data in the given Series object. 

Output : Now we will use Series.quantile() function to find the 40% quantile of the underlying data in the given series object. 

Output : As we can see in the output, the Series.quantile() function has successfully returned the desired quantile value of the underlying data of the given Series object. Example #2: Use Series.quantile() function to return the desired quantile of the underlying data in the given Series object. 

Output : Now we will use Series.quantile() function to find the 90% quantile of the underlying data in the given series object. 

Output : As we can see in the output, the Series.quantile() function has successfully returned the desired quantile value of the underlying data of the given Series object.