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fix nan to None test (#192)

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Justus Kuhlmann 2023-06-01 15:07:16 +02:00 • committed by GitHub
parent bc6e7e93cb
commit 9489b87a7e
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1 changed files with 2 additions and 3 deletions
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tests/pandas_test.py
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@ -46,10 +46,9 @@ def test_nan_df_export_import(tmp_path):
my_df.loc[1, "int"] = np.nan my_df.loc[1, "int"] = np.nan
for gz in [True, False]: for gz in [True, False]:
pe.input.pandas.dump_df(my_df, (tmp_path / 'df_output').as_posix(), gz=gz)
reconstructed_df = pe.input.pandas.load_df((tmp_path / 'df_output').as_posix(), auto_gamma=True, gz=gz)
with pytest.warns(UserWarning, match="nan value in column int will be replaced by None"): with pytest.warns(UserWarning, match="nan value in column int will be replaced by None"):
warnings.warn("nan value in column int will be replaced by None", UserWarning) pe.input.pandas.dump_df(my_df, (tmp_path / 'df_output').as_posix(), gz=gz)
reconstructed_df = pe.input.pandas.load_df((tmp_path / 'df_output').as_posix(), auto_gamma=True, gz=gz)
assert reconstructed_df.loc[1, "int"] is None assert reconstructed_df.loc[1, "int"] is None
assert np.all(reconstructed_df.loc[:, "float"] == my_df.loc[:, "float"]) assert np.all(reconstructed_df.loc[:, "float"] == my_df.loc[:, "float"])
assert np.all(reconstructed_df.loc[:, "Obs1"] == my_df.loc[:, "Obs1"]) assert np.all(reconstructed_df.loc[:, "Obs1"] == my_df.loc[:, "Obs1"])