Maybe this is already taken care of and I just don't know how to use the pandas implementation correctly, but the tqdm progress bar returns an incorrect total when running apply(axis=1), i.e. applying a function to each row of a dataframe. I have implemented the following fix for myself, but could something similar be added to the official code? Thanks!

# Precompute total iterations
if kwargs.get('axis', 0) == 1:
    total = len(df)
else:
    total = getattr(df, 'ngroups', None)
    if total is None:  # not grouped
        total = len(df) if isinstance(df, Series) \
            else df.size // len(df)
    else:
        total += 1  # pandas calls update once too many