Cumulative operations on dtype objects

Question

I am trying to figure out how I can apply cumulative functions to objects. For numbers there are several alternatives like cumsum and cumcount. The

Answer 1

well, you can define a custom function

def custom_cumsum(df):
    from functools import reduce
    nrows, ncols = df.shape
    index, columns = df.index, df.columns
    rets = {}
    new_col = None
    for col in df.columns:
        try:
            new_col = {col:df.loc[:, col].cumsum()}
        except TypeError as e:
            if 'set' in str(e):
                new_col = {col:[ reduce(set.union, df.loc[:, col][:(i+1)]) for i in range(nrows)]}
        rets.update(new_col)
    frame = pd.DataFrame(rets, index=index, columns=columns)
    return frame