["python","pandas","dataframe","csv","file-io"]
Python Pandas: How to read only first n rows of CSV files in?

I have a very large data set and I can't afford to read the entire data set in. So, I'm thinking of reading only one chunk of it to train but I have no idea how to do it.
If you only want to read the first 999,999 (non-header) rows: read_csv(..., nrows=999999) If you only want to read rows 1,000,000 ... 1,999,999 read_csv(..., skiprows=1000000, nrows=999999) nrows : int, default None Number of rows of file to read. Useful for reading pieces of large files* skiprows : list-like or integer Row numbers to skip (0-indexed) or number of rows to skip (int) at the start of the file and for large files, you'll probably also want to use chunksize: chunksize : int, default None Return TextFileReader object for iteration pandas.io.parsers.read_csv documentation