Searched refs:base_df (Results 1 – 3 of 3) sorted by relevance
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/groupby/ |
H A D | test_function.py | 735 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() [all …]
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/dports/math/pspp/pspp-1.4.1/src/math/ |
H A D | categoricals.c | 104 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()
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/dports/devel/py-dask/dask-2021.11.2/dask/dataframe/tests/ |
H A D | test_multi.py | 2450 base_df = dd.from_pandas( 2463 base_df.join(dfs, how=how)
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