Find empty or NaN entry in Pandas Dataframe

Question

I am trying to search through a Pandas Dataframe to find where it has a missing entry or a NaN entry.

Here is a dataframe that I am working with:

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Answer 1

Another opltion covering cases where there might be severar spaces is by using the isspace() python function.

df[df.col_name.apply(lambda x:x.isspace() == False)] # will only return cases without empty spaces

adding NaN values:

df[(df.col_name.apply(lambda x:x.isspace() == False) & (~df.col_name.isna())]