How to delete or drop the column labelled “index” from a dataframe when using to_csv() to save as csv

Question

I am reading a csv file, cleaning it up a little, and then saving it back to a new csv file. The problem is that the new csv file has a new column (first column in fact), labelled as index . Now this is not the row index, as I have turned that off in the to_csv() function as you can see in the code. Plus row index doesn't have a column label as well.

df = pd.read_csv('D1.csv', na_values=0, nrows = 139)    # Read csv, with 0 values converted to NaN
df = df.dropna(axis=0, how='any')                       # Delete any rows containing NaN
df = df.reset_index()
df.to_csv('D1Clean.csv', index=False)

Any ideas where this phantom column is coming from and how to get rid of it?

Answer 1

I think you need add parameter drop=True to reset_index :

df = df.reset_index(drop=True)

drop : boolean, default False

Do not try to insert index into dataframe columns. This resets the index to the default integer index.