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Identify subject in sentences using spacy in advanced cases

I’m trying to identify the subject in a sentence. I tried to use some of the code here: This returns the results: the det python nsubjpass can aux be auxpass used ROOT to aux find xcomp objects dobj I would think in this case the python would be the subject, in most cases that would be the _dep would be

I am confused in a part of my python code

Q-Given a string of lowercase letters in the range ascii[a-z], determine the index of a character that can be removed to make the string a palindrome. There may be more than one solution, but any will do. If the word is already a palindrome or there is no solution, return -1. Otherwise, return the index of a character to remove.

Replacing values using dictionary

What are the reasons why are regex replacment doesn’t work? I have tried ensuring no excess spaces. When I do df.loc[df[‘column’]==”and another reason with her”] nothing has changed. Answer Please use df.replace(regex=dict)

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