Hi all,
Im prepping some data in Python (pandas data frames) where certain columns dont have a value for each row, e.g. are NULL or NaN for integers and floats. However, when writing the dataframe as Excel file and then loading this into Celonis CPM46 I get the error as below. When writing as CSV I do not get this error on the same data, but the files are far larger and therefore take longer to upload (working from home )
Any idea or tips how to handle this?
image865226 13.2 KB
Im prepping some data in Python (pandas data frames) where certain columns dont have a value for each row, e.g. are NULL or NaN for integers and floats. However, when writing the dataframe as Excel file and then loading this into Celonis CPM46 I get the error as below. When writing as CSV I do not get this error on the same data, but the files are far larger and therefore take longer to upload (working from home )
Any idea or tips how to handle this?
image865226 13.2 KB
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Hi @joos.buijs,
is this issue still valid? I would recommend to open a Servicedesk ticket if it is as this behavior is not expected.
Best,
Justin
Hi @joos.buijs,
is this issue still valid? I would recommend to open a Servicedesk ticket if it is as this behavior is not expected.
Best,
Justin
Hi @justin.stegm ,
I don't recall so I guess I solved it or accepted it in the past year. I'll close the question for now and will open a servicedesk ticket if necessary.
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