def test_all_any_params(self):
# Check skipna, with implicit 'object' dtype.
s1 = Series([np.nan, True])
s2 = Series([np.nan, False])
assert s1.all(skipna=False) # nan && True => True
assert s1.all(skipna=True)
assert np.isnan(s2.any(skipna=False)) # nan || False => nan
assert not s2.any(skipna=True)
# Check level.
s = pd.Series([False, False, True, True, False, True],
index=[0, 0, 1, 1, 2, 2])
tm.assert_series_equal(s.all(level=0), Series([False, True, False]))
tm.assert_series_equal(s.any(level=0), Series([False, True, True]))
# bool_only is not implemented with level option.
with pytest.raises(NotImplementedError):
s.any(bool_only=True, level=0)
with pytest.raises(NotImplementedError):
s.all(bool_only=True, level=0)
# bool_only is not implemented alone.
with pytest.raises(NotImplementedError):
s.any(bool_only=True)
with pytest.raises(NotImplementedError):
s.all(bool_only=True)
def test_all_any_params(self):
# Check skipna, with implicit 'object' dtype.
s1 = Series([np.nan, True])
s2 = Series([np.nan, False])
assert s1.all(skipna=False) # nan && True => True
assert s1.all(skipna=True)
assert np.isnan(s2.any(skipna=False)) # nan || False => nan
assert not s2.any(skipna=True)
# Check level.
s = pd.Series([False, False, True, True, False, True],
index=[0, 0, 1, 1, 2, 2])
tm.assert_series_equal(s.all(level=0), Series([False, True, False]))
tm.assert_series_equal(s.any(level=0), Series([False, True, True]))
# bool_only is not implemented with level option.
with pytest.raises(NotImplementedError):
s.any(bool_only=True, level=0)
with pytest.raises(NotImplementedError):
s.all(bool_only=True, level=0)
# bool_only is not implemented alone.
with pytest.raises(NotImplementedError):
s.any(bool_only=True,)
with pytest.raises(NotImplementedError):
s.all(bool_only=True)
def test_all_any_boolean(self):
# Check skipna, with boolean type
s1 = Series([pd.NA, True], dtype="boolean")
s2 = Series([pd.NA, False], dtype="boolean")
assert s1.all(skipna=False) is pd.NA # NA && True => NA
assert s1.all(skipna=True)
assert s2.any(skipna=False) is pd.NA # NA || False => NA
assert not s2.any(skipna=True)
# GH-33253: all True / all False values buggy with skipna=False
s3 = Series([True, True], dtype="boolean")
s4 = Series([False, False], dtype="boolean")
assert s3.all(skipna=False)
assert not s4.any(skipna=False)
# Check level TODO(GH-33449) result should also be boolean
s = Series(
[False, False, True, True, False, True],
index=[0, 0, 1, 1, 2, 2],
dtype="boolean",
)
with tm.assert_produces_warning(FutureWarning):
tm.assert_series_equal(s.all(level=0), Series([False, True,
False]))
with tm.assert_produces_warning(FutureWarning):
tm.assert_series_equal(s.any(level=0), Series([False, True, True]))
class All:
params = [[10**3, 10**6], ["fast", "slow"]]
param_names = ["N", "case"]
def setup(self, N, case):
val = case != "fast"
self.s = Series([val] * N)
def time_all(self, N, case):
self.s.all()
class All(object):
params = [[10**3, 10**6], ['fast', 'slow']]
param_names = ['N', 'case']
def setup(self, N, case):
val = case != 'fast'
self.s = Series([val] * N)
def time_all(self, N, case):
self.s.all()
def test_all_any_params(self):
# Check skipna, with implicit 'object' dtype.
s1 = Series([np.nan, True])
s2 = Series([np.nan, False])
assert s1.all(skipna=False) # nan && True => True
assert s1.all(skipna=True)
assert s2.any(skipna=False)
assert not s2.any(skipna=True)
# Check level.
s = Series([False, False, True, True, False, True], index=[0, 0, 1, 1, 2, 2])
with tm.assert_produces_warning(FutureWarning):
tm.assert_series_equal(s.all(level=0), Series([False, True, False]))
with tm.assert_produces_warning(FutureWarning):
tm.assert_series_equal(s.any(level=0), Series([False, True, True]))
msg = "Option bool_only is not implemented with option level"
with pytest.raises(NotImplementedError, match=msg):
with tm.assert_produces_warning(FutureWarning):
s.any(bool_only=True, level=0)
with pytest.raises(NotImplementedError, match=msg):
with tm.assert_produces_warning(FutureWarning):
s.all(bool_only=True, level=0)
# GH#38810 bool_only is not implemented alone.
msg = "Series.any does not implement bool_only"
with pytest.raises(NotImplementedError, match=msg):
s.any(bool_only=True)
msg = "Series.all does not implement bool_only."
with pytest.raises(NotImplementedError, match=msg):
s.all(bool_only=True)
def test_all_any_params(self):
# Check skipna, with implicit 'object' dtype.
s1 = Series([np.nan, True])
s2 = Series([np.nan, False])
assert s1.all(skipna=False) # nan && True => True
assert s1.all(skipna=True)
assert np.isnan(s2.any(skipna=False)) # nan || False => nan
assert not s2.any(skipna=True)
# Check level.
s = Series([False, False, True, True, False, True],
index=[0, 0, 1, 1, 2, 2])
tm.assert_series_equal(s.all(level=0), Series([False, True, False]))
tm.assert_series_equal(s.any(level=0), Series([False, True, True]))
msg = "Option bool_only is not implemented with option level"
with pytest.raises(NotImplementedError, match=msg):
s.any(bool_only=True, level=0)
with pytest.raises(NotImplementedError, match=msg):
s.all(bool_only=True, level=0)
# bool_only is not implemented alone.
# TODO GH38810 change this error message to:
# "Series.any does not implement bool_only"
msg = "Series.any does not implement numeric_only"
with pytest.raises(NotImplementedError, match=msg):
s.any(bool_only=True)
msg = "Series.all does not implement numeric_only."
with pytest.raises(NotImplementedError, match=msg):
s.all(bool_only=True)
def test_any_all_datetimelike(self):
# GH#38723 these may not be the desired long-term behavior (GH#34479)
# but in the interim should be internally consistent
dta = date_range("1995-01-02", periods=3)._data
ser = Series(dta)
df = DataFrame(ser)
assert dta.all()
assert dta.any()
assert ser.all()
assert ser.any()
assert df.any().all()
assert df.all().all()
dta = dta.tz_localize("UTC")
ser = Series(dta)
df = DataFrame(ser)
assert dta.all()
assert dta.any()
assert ser.all()
assert ser.any()
assert df.any().all()
assert df.all().all()
tda = dta - dta[0]
ser = Series(tda)
df = DataFrame(ser)
assert tda.any()
assert not tda.all()
assert ser.any()
assert not ser.all()
assert df.any().all()
assert not df.all().any()
def _gen_tree(self,
X: pd.DataFrame,
y: pd.Series,
parent_col='root',
parent_val=''): # noqa
'''funcao recursiva: retorna o no da arvore de decisao e suas ramificacoes''' # noqa
# se todos forem da mesma classe retorna nó folha
if y.all() or (~y).all():
return Node(parent_col, val=parent_val, target=y.all()) # noqa
curr_entropy = self._entropy(len(y[y]) / len(y), len(y[~y]) / len(y))
chosen_col, _ = sorted(self._all_info_gain(X, y, curr_entropy),
key=lambda x: x[1],
reverse=True)[0]
children = [
self._gen_tree(X[X[chosen_col] == val], y[X[chosen_col] == val],
chosen_col, val) for val in pd.unique(X[chosen_col])
]
return Node(parent_col, children=children, val=parent_val, target='')
def f(series: pd.Series) -> bool:
result = tester(series)
return False if result is None else series.all()
def test_fill_vk_age(data: pd.DataFrame, expected: pd.Series):
"""
Test csv_connect.fill_vK_age function
"""
data_filled = csv_connect.fill_vk_age(data)
assert data_filled['VK Age'].all() == expected.all()
