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  3. Dealing with Missing Data in Python

Exercise

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.

Instructions 1/4

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  • 1
    • Compare two None using == and print the output.
  • 2
    • Compare two np.nan using == and print the output.
  • 3
    • Check whether None is the same as numpy's nan object using np.isnan().
  • 4
    • Check whether np.isnan() returns True for np.nan.