How can I read tar.gz file using pandas read_csv with gzip compression option?

df = pd.read_csv('sample.tar.gz', compression='gzip', header=0, sep=' ', quotechar='"', error_bad_lines=False)

Note: error_bad_lines=False will ignore the offending rows.

You can use the tarfile module to read a particular file from the tar.gz archive (as discussed in this resolved issue). If there is only one file in the archive, then you can do this:

import tarfile
import pandas as pd
with tarfile.open("sample.tar.gz", "r:*") as tar:
    csv_path = tar.getnames()[0]
    df = pd.read_csv(tar.extractfile(csv_path), header=0, sep=" ")

The read mode r:* handles the gz extension (or other kinds of compression) appropriately. If there are multiple files in the zipped tar file, then you could do something like csv_path = list(n for n in tar.getnames() if n.endswith('.csv'))[-1] line to get the last csv file in the archived folder.