I have a really large csv file that I opened in pandas as follows.... import pandas df = pandas.read_csv('large_txt_file.txt') Once I do this my memory usage increases by 2GB, which is expected because this file contains millions of rows. My problem comes when I need to release this memory. I ran.... del df However, my memory usage did not drop. Is this the wrong approach to release memory used by a pandas data frame? If it is, what is the proper way? Continue reading...
