I have a file with many rows that look like this: 012121 *************************************************** 3317 129862 I'm using the following to select only the 'a' and 'c' columns: df = pd.read_csv('input.txt', sep='\\s+', error_bad_lines=False,warn_bad_lines=True, names=['a','b','c','d']) My problem is that there are headers and other unwanted information that I don't need or want to deal with, all throughout the file. What is the best way to only select those rows that contain '******' in column 'b' for my dataframe? Continue reading...
