Hands-On Exploratory Data Analysis with Python

NaN values in pandas objects

We can use the isnull() function from the pandas library to identify NaN values:

1. Check the following example:

dfx.isnull()

The output of the preceding code is as follows:

Note that the True values indicate the values that are NaN. Pretty obvious, right? Alternatively, we can also use the notnull() method to do the same thing. The only difference would be that the function will indicate True for the values which are not null.

2. Check it out in action:

dfx.notnull()

And the output of this is as follows:

Compare ...