Coverting bug by null values from csv into panda nan to a python list
Hello,
I read a csv file with panda and convert it to a python list.
The problem is that panda convert the null values from the csv to nan values.
After that I convert the panda dataframe to a python nested list and got nan values inside the python list that have the float type. 

Code:
`for chunk in pd.read_csv(pfad_incoming + record, chunksize=1000000, delimiter=';', quotechar="'",                                  escapechar='"'):

batch = [chunk.columns.values.tolist()] + chunk.values.tolist()`

A column:
[5000000026661893028, 26661987940, '2020-07-09 10:40:10.435000', 1, nan, nan, nan, nan, nan, nan, nan, nan, 'v5', nan]
The type of the nan values:
<class 'float'>

Is that a bug? In the python list, however, should nan be None, right?
Regards,
Phil
