Different country codes give Inconsistent dataframe structure in pandas client client.query_generation()

[morrisonmaxw]

Hi I am getting a different dataframe response structure when changing country codes is this expected behaviour? It is causing bugs in my data transformation logic and has taken quite a while to discover the problem!

Some country codes like 'BE' return a multi index dataframe with a second header for 'Actual Aggregate/ Actual consumption' while others like 'DK' are just a flat table and do not contain this information:

Here is an example:

`from entsoe import EntsoePandasClient
import pandas as pd

client = EntsoePandasClient(api_key='123')

start = pd.Timestamp('20241101', tz='UTC')
end = pd.Timestamp('20241106', tz='UTC')

Entsoe_PandasClient_request_BE = client.query_generation('BE', start=start, end=end)
print(Entsoe_PandasClient_request_BE.head())
Entsoe_PandasClient_request_DK = client.query_generation('DK', start=start, end=end)
print(Entsoe_PandasClient_request_DK.head())`

[morrisonmaxw]

I see this has already been raised in issue 328
Hopefully the extra detail here is helpful.