def test_constructions() -> None:
t = build_tafra()
check_tafra(t)
t = Tafra(
{
'x':
np.array([1, 2, 3, 4, 5, 6]),
'y':
np.array(['one', 'two', 'one', 'two', 'one', 'two'],
dtype='object'),
'z':
np.array([0, 0, 0, 1, 1, 1])
},
validate=False)
check_tafra(t)
t = Tafra(
{
'x':
np.array([1, 2, 3, 4, 5, 6]),
'y':
np.array(['one', 'two', 'one', 'two', 'one', 'two'],
dtype='object'),
'z':
np.array([0, 0, 0, 1, 1, 1, 2, 2, 2])
},
validate=False,
check_rows=False)
check_tafra(t, check_rows=False)
with pytest.raises(TypeError) as e:
t = Tafra() # type: ignore # noqa
with pytest.raises(ValueError) as e:
t = Tafra({})
t = Tafra({'x': None})
with warnings.catch_warnings(record=True) as w:
check_tafra(t)
t = Tafra({'x': Decimal('1.23456')})
check_tafra(t)
t = Tafra({'x': np.array(1)})
check_tafra(t)
t = Tafra({'x': np.array([1])})
check_tafra(t)
t = Tafra({'x': [True, False]})
check_tafra(t)
t = Tafra({'x': 'test'})
check_tafra(t)
t = Tafra((('x', np.arange(6)), ))
check_tafra(t)
t = Tafra([('x', np.arange(6))])
check_tafra(t)
t = Tafra([['x', np.arange(6)]])
check_tafra(t)
t = Tafra([(np.array('x'), np.arange(6))])
check_tafra(t)
t = Tafra([(np.array(['x']), np.arange(6))])
check_tafra(t)
t = Tafra([('x', np.arange(6)), ('y', np.linspace(0, 1, 6))])
check_tafra(t)
t = Tafra([['x', np.arange(6)], ('y', np.linspace(0, 1, 6))])
check_tafra(t)
t = Tafra([('x', np.arange(6)), ['y', np.linspace(0, 1, 6)]])
check_tafra(t)
t = Tafra([['x', np.arange(6)], ['y', np.linspace(0, 1, 6)]])
check_tafra(t)
t = Tafra([{'x': np.arange(6)}, {'y': np.linspace(0, 1, 6)}])
check_tafra(t)
t = Tafra(iter([{'x': np.arange(6)}, {'y': np.linspace(0, 1, 6)}]))
check_tafra(t)
def iterator() -> Iterator[Dict[str, np.ndarray]]:
yield {'x': np.array([1, 2, 3, 4, 5, 6])}
yield {
'y':
np.array(['one', 'two', 'one', 'two', 'one', 'two'],
dtype='object')
}
yield {'z': np.array([0, 0, 0, 1, 1, 1])}
t = Tafra(iterator())
check_tafra(t)
class DictIterable:
def __iter__(self) -> Iterator[Dict[str, np.ndarray]]:
yield {'x': np.array([1, 2, 3, 4, 5, 6])}
yield {
'y':
np.array(['one', 'two', 'one', 'two', 'one', 'two'],
dtype='object')
}
yield {'z': np.array([0, 0, 0, 1, 1, 1])}
t = Tafra(DictIterable())
check_tafra(t)
t = Tafra(iter(DictIterable()))
check_tafra(t)
class SequenceIterable:
def __iter__(self) -> Iterator[Any]:
yield ('x', np.array([1, 2, 3, 4, 5, 6]))
yield [
'y',
np.array(['one', 'two', 'one', 'two', 'one', 'two'],
dtype='object')
]
yield ('z', np.array([0, 0, 0, 1, 1, 1]))
t = Tafra(SequenceIterable())
check_tafra(t)
class SequenceIterable2:
def __iter__(self) -> Iterator[Any]:
yield (np.array(['x']), np.array([1, 2, 3, 4, 5, 6]))
yield [
np.array(['y']),
np.array(['one', 'two', 'one', 'two', 'one', 'two'],
dtype='object')
]
yield (np.array(['z']), np.array([0, 0, 0, 1, 1, 1]))
t = Tafra(SequenceIterable2())
check_tafra(t)
t = Tafra(iter(SequenceIterable2()))
check_tafra(t)
t = Tafra(enumerate(np.arange(6)))
check_tafra(t)
t = build_tafra()
df = pd.DataFrame(t.data)
_ = Tafra.from_series(df['x'])
check_tafra(_)
_ = Tafra.from_dataframe(df)
check_tafra(_)
_ = Tafra.as_tafra(df)
check_tafra(_)
_ = Tafra.as_tafra(df['x'])
check_tafra(_)
_ = Tafra.as_tafra(t)
check_tafra(_)
_ = Tafra.as_tafra({'x': np.array(1)})
check_tafra(_)
_ = Tafra.from_series(Series())
check_tafra(_)
_ = Tafra.as_tafra(Series())
check_tafra(_)
_ = Tafra.from_dataframe(DataFrame()) # type: ignore
check_tafra(_)
_ = Tafra.as_tafra(DataFrame())
check_tafra(_)
with pytest.raises(TypeError) as e:
t = Tafra([{1, 2}]) # type: ignore
class BadIterable:
def __iter__(self) -> Iterator[Any]:
yield {1, 2}
yield {3.1412159, .5772156}
with pytest.raises(TypeError) as e:
t = Tafra(BadIterable())
with pytest.raises(TypeError) as e:
t = Tafra(iter(BadIterable()))
with pytest.raises(TypeError) as e:
_ = Tafra(np.arange(6))
with pytest.raises(TypeError) as e:
_ = Tafra.as_tafra(np.arange(6))
with pytest.raises(ValueError) as e:
t = Tafra({'x': np.array([1, 2]), 'y': np.array([3., 4., 5.])})
def test_constructions() -> None:
with pytest.raises(TypeError) as e:
t = Tafra() # type: ignore # noqa
with pytest.raises(ValueError) as e:
t = Tafra({}) # type: ignore
t = Tafra({'x': None})
check_tafra(t)
t = Tafra({'x': Decimal('1.23456')})
check_tafra(t)
t = Tafra({'x': np.array(1)})
check_tafra(t)
t = Tafra({'x': np.array([1])})
check_tafra(t)
t = Tafra({'x': [True, False]})
check_tafra(t)
t = Tafra({'x': 'test'})
check_tafra(t)
t.update_dtypes_inplace({'x': 'O'})
check_tafra(t)
t = Tafra(enumerate(np.arange(6)))
check_tafra(t)
with pytest.raises(ValueError) as e:
t = Tafra({'x': np.array([1, 2]), 'y': np.array([3., 4., 5.])})
def gen_values() -> Iterator[Dict[str, np.ndarray]]:
yield {'x': np.arange(6)}
yield {'y': np.arange(6)}
t = Tafra(gen_values())
check_tafra(t)
t = build_tafra()
t = t.update_dtypes({'x': 'float'})
t.data['x'][2] = np.nan
check_tafra(t)
_ = tuple(t.to_records())
_ = tuple(t.to_records(columns='x'))
_ = tuple(t.to_records(columns=['x']))
_ = tuple(t.to_records(columns=['x', 'y']))
_ = tuple(t.to_records(cast_null=False))
_ = tuple(t.to_records(columns='x', cast_null=False))
_ = tuple(t.to_records(columns=['x'], cast_null=False))
_ = tuple(t.to_records(columns=['x', 'y'], cast_null=False))
_ = t.to_list()
_ = t.to_list(columns='x')
_ = t.to_list(columns=['x'])
_ = t.to_list(columns=['x', 'y'])
_ = t.to_list(inner=True)
_ = t.to_list(columns='x', inner=True)
_ = t.to_list(columns=['x'], inner=True)
_ = t.to_list(columns=['x', 'y'], inner=True)
_ = t.to_array()
_ = t.to_array(columns='x')
_ = t.to_array(columns=['x'])
_ = t.to_array(columns=['x', 'y'])
t = build_tafra()
df = pd.DataFrame(t.data)
_ = Tafra.from_series(df['x'])
check_tafra(_)
_ = Tafra.from_dataframe(df)
check_tafra(_)
_ = Tafra.as_tafra(df)
check_tafra(_)
_ = Tafra.as_tafra(df['x'])
check_tafra(_)
_ = Tafra.as_tafra(t)
check_tafra(_)
_ = Tafra.as_tafra({'x': np.array(1)})
check_tafra(_)
_ = Tafra.from_series(Series())
check_tafra(_)
_ = Tafra.as_tafra(Series())
check_tafra(_)
_ = Tafra.from_dataframe(DataFrame()) # type: ignore
check_tafra(_)
_ = Tafra.as_tafra(DataFrame())
check_tafra(_)
with pytest.raises(TypeError) as e:
_ = Tafra(np.arange(6))
with pytest.raises(TypeError) as e:
_ = Tafra.as_tafra(np.arange(6))
