I solved this in a simpler way - just in 2 steps.
Step 1: First form a dataframe with unwanted rows/data.
Step 2: Use the index of this unwanted dataframe to drop the rows from the original dataframe.
Example:
Suppose you have a dataframe df which as many columns including…
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