There is a bug in pandas 1.5.1 and we get this error message when using ictiopy.load_zipdb():
RecursionError: maximum recursion depth exceeded while calling a Python object
The error is due to this line:
bdb = bdb.replace(np.nan, None, regex=True)
The bug is documented here: pandas-dev/pandas#45725
The bug is closed and will be fixed for pandas version 1.5.2. In the meanwhile, they recommend to use pandas 1.4.7.
Other methods are working to replace np.nan by None, like this:
bdb_data = bdb_data.astype(object).replace(np.nan, 'None')
This and others are pointed here: https://stackoverflow.com/questions/14162723/replacing-pandas-or-numpy-nan-with-a-none-to-use-with-mysqldb
If you prefer to keep the code as it is right now I can add a pandas != 1.5.0, 1.5.1 in the requirements of mecoda-orange.
There is a bug in pandas 1.5.1 and we get this error message when using ictiopy.load_zipdb():
The error is due to this line:
The bug is documented here: pandas-dev/pandas#45725
The bug is closed and will be fixed for pandas version 1.5.2. In the meanwhile, they recommend to use pandas 1.4.7.
Other methods are working to replace np.nan by None, like this:
This and others are pointed here: https://stackoverflow.com/questions/14162723/replacing-pandas-or-numpy-nan-with-a-none-to-use-with-mysqldb
If you prefer to keep the code as it is right now I can add a
pandas != 1.5.0, 1.5.1in the requirements of mecoda-orange.