Question

Consider the following code:

>>>import pandas as pd >>>import numpy as np >>>s2=pd.
Series([12,np.nan,10]) >>>print(s2) 

Find the output of the above code and write a Python statement to count and display only non-null values in the above series.

Answer 1

Printing the Series s2 displays the index numbers and values. Because the Series contains a missing value (np.nan), Pandas converts all integer values into floats (float64).

Output:

0	12.0
1	NaN
2	10.0
dtype	float64

To count and display only the non-null values (ignoring the NaN), use the .count() method:

print(s2.count())