How to read and convert files of same naming convention into dataframe and add a date column from the filename?

Question

Connecting to SSH on python to read through a directory of gz files using unix command. The converting into df and adding a date column from the filename (filename is constantly abcdate.gz)

def run_cmd(cmd):
        connection = ssh(client, user, password)
        a = connection.sendCommand(cmd)
        return a

b = run_cmd("less /path/abc20131213.gz")
df = pd.read_csv(io.BytesIO(b))
df.head()

A   B
0   I915    0.12
1   O975    0.33
2   Z913    0.07
3   I567    0.15
4   A347    0.85

The initial conversion works. How do I read through the directory in a loop and append the data into df and add a new 'date' column based on the filename?