In python, how can I read an unstructured csv file (with some redundant rows of texts) and output it as a new structured csv file using pandas?
There are some unwanted rows in the csv file (at the very beginning as shown by the picture) which is getting parsed as a unique column resulting in incorrect format of columns, but actually these lines should be ignored
The unstructured csv
The Desired Structure :
I have searched for a solution, but none of the previous questions here solve my problem