F gaps in int columns
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For #126 (closed). Adds support for empty values in integer columns and Pandas-specific datatypes. This is needed for https://gitlab.indiscale.com/caosdb/customers/geomar/management/-/issues/269.
The most important part is to use the dtype
argument in Pandas' read_csv
function. We also replace the np.issubdtype
and isinstance
functions in the datatype checks by helper functions that support the relevant Pandas datatypes.
For the actual bug, the new unit test should be sufficient. Also use this branch in the Geomar server-profile and the bis-custom submodule in branch f-nan-in-int
and test a sample upload with empty fields in, e.g., the integer-valued AphiaID.
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