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/dports/math/py-pandas/pandas-1.2.5/pandas/tests/groupby/
H A Dtest_function.py735 df = base_df.astype(dtype)
752 base_df.loc[[0, 2, 4, 6], "B"] = np.nan
754 result = base_df.groupby("A").cummin()
774 base_df = DataFrame({"A": [1, 1, 1, 1, 2, 2, 2, 2], "B": [np.nan] * 8})
777 result = base_df.groupby("A").cummin()
779 result = base_df.groupby("A").B.apply(lambda x: x.cummin()).to_frame()
791 df = base_df.astype(dtype)
808 base_df.loc[[0, 2, 4, 6], "B"] = np.nan
810 result = base_df.groupby("A").cummax()
833 result = base_df.groupby("A").cummax()
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/dports/math/pspp/pspp-1.4.1/src/math/
H A Dcategoricals.c104 int base_df; member
227 printf ("Base index (df/categories): %d/%d\n", iap->base_df, iap->base_cats); in categoricals_dump()
530 iap->base_df = idx_df; in categoricals_done()
568 for (int x = iap->base_df; in categoricals_done()
569 x < iap->base_df + df; ++x) in categoricals_done()
573 iap->enc_sum[x - iap->base_df] += bin * iv->cc; in categoricals_done()
638 return iap->enc_sum[subscript - iap->base_df]; in categoricals_get_sum_by_subscript()
675 const int index = ((subscript - iap->base_df) % dfpn) / dfp; in categoricals_get_code_for_case()
/dports/devel/py-dask/dask-2021.11.2/dask/dataframe/tests/
H A Dtest_multi.py2450 base_df = dd.from_pandas(
2463 base_df.join(dfs, how=how)