How to skip rows when reading a .csv file with Pandas in Python

When reading a .csv file using pd.read_csv(), rows can be skipped over so they are not included in the import.

Solution for How to skip rows when reading a .csv file with Pandas in Python : You can use pd.read_csv() to skip rows when reading a .csv file with Pandas Call pd.read_csv(filepath_or_buffer, header=None, skiprows=None) with header set to None and skiprows set to [x], where x is the row number to be excluded while reading filepath_or_buffer. Note that row numbering is list-like, beginning with 0.


how-to-skip-rows-when-reading-a-csv-file-with-pandas-in-python