コード例 #1
0
def test_pandas_grouped_frame_fast_not_implemented(notimpl_entry):
    from siuba.experimental.pd_groups.dialect import fast_mutate
    gdf = data[notimpl_entry['accessor']].groupby('g')

    # TODO: once reading from yaml, no need to repr
    str_expr = str(notimpl_entry['expr_frame'])
    call_expr = strip_symbolic(eval(str_expr, {'_': _}))

    with pytest.raises(NotImplementedError):
        res = fast_mutate(gdf, result=call_expr)
コード例 #2
0
def test_pandas_grouped_frame_fast_not_implemented(notimpl_entry):
    from siuba.experimental.pd_groups.dialect import fast_mutate
    gdf = data[notimpl_entry['accessor']].groupby('g')

    # TODO: once reading from yaml, no need to repr
    str_expr = str(notimpl_entry['expr_frame'])
    call_expr = strip_symbolic(eval(str_expr, {'_': _}))

    if notimpl_entry['action']['status'] in [
            "todo", "maydo", "wontdo"
    ] and notimpl_entry["is_property"]:
        pytest.xfail()

    with pytest.raises(NotImplementedError):
        res = fast_mutate(gdf, result=call_expr)
コード例 #3
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def test_pandas_grouped_frame_fast_mutate(entry):
    from siuba.experimental.pd_groups.dialect import fast_mutate, DataFrameGroupBy
    gdf = get_data(entry, DATA).groupby('g')

    # Execute mutate ----------------------------------------------------------
    str_expr, call_expr = get_df_expr(entry)

    res = fast_mutate(gdf, result=call_expr)
    dst = mutate(gdf, result=call_expr)

    # TODO: apply mark to skip failing tests, rather than downcast
    # pandas grouped aggs, when not using cython, _try_cast back to original type
    # but since mutate uses apply, it doesn't :/. Currently only affects median func.
    dst_obj = dst.obj
    if str_expr == '_.x.median()':
        dst_obj['result'] = gdf._try_cast(dst_obj['result'], gdf.x.obj)

    assert isinstance(dst, DataFrameGroupBy)
    assert_frame_equal(res.obj, dst_obj)
コード例 #4
0
def test_pandas_grouped_frame_fast_not_implemented(notimpl_entry):
    from siuba.experimental.pd_groups.dialect import fast_mutate
    gdf = data[notimpl_entry['accessor']].groupby('g')

    # TODO: once reading from yaml, no need to repr
    str_expr = str(notimpl_entry['expr_frame'])
    call_expr = strip_symbolic(eval(str_expr, {'_': _}))

    if notimpl_entry['action']['status'] in [
            "todo", "maydo", "wontdo"
    ] and notimpl_entry["is_property"]:
        pytest.xfail()

    with pytest.warns(UserWarning):
        try:
            # not implemented functions are punted to apply, and
            # not guaranteed to work (e.g. many lengthen arrays, etc..)
            res = fast_mutate(gdf, result=call_expr)
        except:
            pass