Finding Null values
In the previous exercise, you have observed how the two NULL data types None and the numpy not a number object np.nan behave with respect to arithmetic and logical operations. In this exercise, you'll further understand their behavior by comparing the two types. The numpy package has already been imported as np.
This exercise is part of the course
Dealing with Missing Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
try:
# Print the comparison of two 'None's
print("'None' comparison output: ", ___)
except TypeError:
# Print if error
print("'None' does not support this operation!!")