Combining series into pandas dataframes ignoring the indices

Question

I have two series namely x and y which were created by extracting the values related to a list of indices.

x:

Index	Timestamp
1	2022-11-16 13:00:00
143	2022-11-17 13:48:00

y:

Index	Timestamp
37	2022-11-16 19:13:00
157	2022-11-17 16:21:00

I want to combine these two series into a pandas dataframe. I used the following code for that.

x = pd.concat([Rising_Timestamp, Falling_Timestamp], ignore_index=True, axis=1)

But this creates Nan because of the indexes are different in the two series.

Preferred output:

start	End
2022-11-16 13:00:00	2022-11-16 19:13:00
2022-11-17 13:48:00	2022-11-17 16:21:00

How can I do this in pandas?

Answer 1

x = x.reset_index(drop=True)
y = y.reset_index(drop=True)
df = pd.concat([x, y], axis=1)

Note that this will still produce NaN values if the series aren't the same length. Also, it assumes that your data is aligned as you expect it to be.