Reset Series index without turning into DataFrame

Question

When I use Series.reset_index() my variable turns into a DataFrame object. Is there any way to reset the index of a series without incurring this result?

The context is a simulation of random choices based on probability (monte carlo sim), where selections made from series are omitted with series.pop(item).

I require the index reset because I iterate through in order to create a cumulative frequency series.

Answer 1

You can try drop=True in .reset_index i.e. series.reset_index(drop=True, inplace=True)

According to document:

drop : boolean, default False

Do not try to insert index into dataframe columns.

Example:

series = pd.Series([1,2,3,4,5,1,1])
print(series)

Series result:

0    1
1    2
2    3
3    4
4    5
5    1
6    1
dtype: int64

selecting some values from series:

filtered = series[series.values==1]
print(filtered)

Result:

0    1
5    1
6    1
dtype: int64

Reseting index:

filtered.reset_index(drop=True, inplace=True)
print(filtered)

Result:

0    1
1    1
2    1
dtype: int64

With type(filtered) still returns Series.