Looping over csv files, extracting a specific row and iteratively adding it to a pandas dataframe to be saved as a .csv
I have multiple .csv files of the same format (count) in terms of columns, but not always in terms of rows. Each row is an individual currency name. It is basically the same data extracted at different dates and sometimes a currency is not available for a specific date. I need to open each .csv, and: