It’s also a question How to Use not (!) in Pandas DataFrame Filtering Logic? Error found! Why this could be happening? know and Learn everything.
Question: What is the best way to approach this problem? Answer: Check out this blog code to learn how to fix errors How to Use not (!) in Pandas DataFrame Filtering Logic. Question: What are the reasons for this code mistake and how can it be fixed? Answer: You can find a solution by following the advice in this blog.
How can we apply the
not boolean operator on a condition when filtering a Pandas DataFrame?
Suppose we want all rows in the
id column that don’t end in
We might think to use the exclamation point
! or the
not operator, but these conditions yield some errors.
# SyntaxError: invalid syntax df[!df.id.str.endswith('e')] # ValueError: The truth value of a Series is ambiguous. # Use a.empty, a.bool(), a.item(), a.any() or a.all(). df[not df.id.str.endswith('e')]
Not filter using the tilde
We can use the tilde
~ instead of
not to negate the conditional in the Pandas DataFrame filtering logic.
Now you learned, How you can use & How to Use not (!) in Pandas DataFrame Filtering Logic.
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