Python Pandas 'Unnamed' column keeps appearing

Question

I am running into an issue where each time I run my program (which reads the dataframe from a .csv file) a new column shows up called 'Unnamed'.

sample output columns after running 3 times -

  Unnamed: 0  Unnamed: 0.1            Subreddit  Appearances

here is my code. for each row, the 'Unnamed' columns simply increase by 1.

df = pd.read_csv(Location)
while counter < 50:
    #gets just the subreddit name
    e = str(elem[counter].get_attribute("href"))
    e = e.replace("https://www.reddit.com/r/", "")
    e = e[:-1]
    if e in df['Subreddit'].values:
        #adds 1 to Appearances if the subreddit is already in the DF
        df.loc[df['Subreddit'] == e, 'Appearances'] += 1
    else:
        #adds new row with the subreddit name and sets the amount of appearances to 1.
        df = df.append({'Subreddit': e, 'Appearances': 1}, ignore_index=True)
    df.reset_index(inplace=True, drop=True)
    print(e)
    counter = counter + 2
#(doesn't work) df.drop(df.columns[df.columns.str.contains('Unnamed', case=False)], axis=1)

The first time i run it, with a clean .csv file, it works perfect, but each time after, another 'Unnamed' column shoes up. I just wanted the 'Subreddit' and 'Appearances' columns to show each time.

Answer 1

An other solution would be to read your csv with the attribute index_col=0 to not take into account the index column : df = pd.read_csv(Location, index_col=0).