generated from dopt-python/py311
provide additional information for Umbreit, meeting on 12.12.25
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@@ -308,7 +308,13 @@ df.filter(pl.col("MELDENUMMER") == 18).select(pl.col("MENGE_VORMERKER").is_null(
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# ** not known at this point
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# there are entries where BEDP_MENGE_BEDARF_VM > MENGE_VORMERKER -->
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# BEDP_MENGE_BEDARF_VM as reference or ground truth not suitable
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df.filter(pl.col("BEDP_MENGE_BEDARF_VM") > pl.col("MENGE_VORMERKER"))
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df_diff_VM_bedp_tinfo = df.filter(pl.col("BEDP_MENGE_BEDARF_VM") > pl.col("MENGE_VORMERKER"))
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p_save_diff_VM_bedp_tinfo = (
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Path.cwd() / "diff_BEDP-MENGE-BEDARF-VM_TINF-MENGE-VORMERKER_20251211-1.xlsx"
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)
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from polars.datatypes import classes as pl_dtypes
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df_diff_VM_bedp_tinfo.to_pandas().to_excel(p_save_diff_VM_bedp_tinfo, index=False)
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# why are there entries where "BEDP_MENGE_BEDARF_VM" > "MENGE_VORMERKER"?
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# %%
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# ** CHECK: titles with request where no title information is found
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