Here are the examples of the python api numpy.min taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
145 Examples
3
View Complete Implementation : test_nanops.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
def _argminmax_wrap(self, value, axis=None, func=None):
res = func(value, axis)
nans = np.min(value, axis)
nullnan = isna(nans)
if res.ndim:
res[nullnan] = -1
elif (hasattr(nullnan, 'all') and nullnan.all() or
not hasattr(nullnan, 'all') and nullnan):
res = -1
return res
3
View Complete Implementation : test_nanops.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
def _argminmax_wrap(self, value, axis=None, func=None):
res = func(value, axis)
nans = np.min(value, axis)
nullnan = isna(nans)
if res.ndim:
res[nullnan] = -1
elif (hasattr(nullnan, 'all') and nullnan.all() or
not hasattr(nullnan, 'all') and nullnan):
res = -1
return res
3
View Complete Implementation : test_transform.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
@pytest.mark.parametrize('func', [min, max, np.min, np.max, 'first', 'last'])
def test_groupby_transform_timezone_column(func):
# GH 24198
ts = pd.to_datetime('now', utc=True).tz_convert('Asia/Singapore')
result = pd.DataFrame({'end_time': [ts], 'id': [1]})
result['max_end_time'] = result.groupby('id').end_time.transform(func)
expected = pd.DataFrame([[ts, 1, ts]], columns=['end_time', 'id',
'max_end_time'])
tm.astert_frame_equal(result, expected)
3
View Complete Implementation : test_transform.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
@pytest.mark.parametrize('func', [min, max, np.min, np.max, 'first', 'last'])
def test_groupby_transform_timezone_column(func):
# GH 24198
ts = pd.to_datetime('now', utc=True).tz_convert('Asia/Singapore')
result = pd.DataFrame({'end_time': [ts], 'id': [1]})
result['max_end_time'] = result.groupby('id').end_time.transform(func)
expected = pd.DataFrame([[ts, 1, ts]], columns=['end_time', 'id',
'max_end_time'])
tm.astert_frame_equal(result, expected)
3
View Complete Implementation : test_defmatrix.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
def test_min(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
astert_equal(x.min(), 1)
astert_equal(x.min(0), matrix([[1, 2, 3]]))
astert_equal(x.min(1), matrix([[1], [4]]))
astert_equal(np.min(x), 1)
astert_equal(np.min(x, axis=0), matrix([[1, 2, 3]]))
astert_equal(np.min(x, axis=1), matrix([[1], [4]]))
3
View Complete Implementation : test_path.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : holzschu
Copyright BSD 3-Clause "New" or "Revised" License
Author : holzschu
@pytest.mark.parametrize('offset', range(-720, 361, 45))
def test_full_arc(offset):
low = offset
high = 360 + offset
path = Path.arc(low, high)
mins = np.min(path.vertices, axis=0)
maxs = np.max(path.vertices, axis=0)
np.testing.astert_allclose(mins, -1)
astert np.allclose(maxs, 1)
3
View Complete Implementation : test_nanops.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
def test_nanmin(self):
with warnings.catch_warnings(record=True):
warnings.simplefilter("ignore", RuntimeWarning)
func = partial(self._minmax_wrap, func=np.min)
self.check_funs(nanops.nanmin, func,
allow_str=False, allow_obj=False)
3
View Complete Implementation : test_nanops.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : holzschu
Copyright BSD 3-Clause "New" or "Revised" License
Author : holzschu
def _argminmax_wrap(self, value, axis=None, func=None):
res = func(value, axis)
nans = np.min(value, axis)
nullnan = isna(nans)
if res.ndim:
res[nullnan] = -1
elif (hasattr(nullnan, 'all') and nullnan.all() or
not hasattr(nullnan, 'all') and nullnan):
res = -1
return res
3
View Complete Implementation : test_path.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : holzschu
Copyright BSD 3-Clause "New" or "Revised" License
Author : holzschu
@pytest.mark.parametrize('offset', range(-720, 361, 45))
def test_full_arc(offset):
low = offset
high = 360 + offset
path = Path.arc(low, high)
mins = np.min(path.vertices, axis=0)
maxs = np.max(path.vertices, axis=0)
np.testing.astert_allclose(mins, -1)
astert np.allclose(maxs, 1)
3
View Complete Implementation : test_defmatrix.py
Copyright Apache License 2.0
Author : Frank-qlu
Copyright Apache License 2.0
Author : Frank-qlu
def test_min(self):
x = matrix([[1, 2, 3], [4, 5, 6]])
astert_equal(x.min(), 1)
astert_equal(x.min(0), matrix([[1, 2, 3]]))
astert_equal(x.min(1), matrix([[1], [4]]))
astert_equal(np.min(x), 1)
astert_equal(np.min(x, axis=0), matrix([[1, 2, 3]]))
astert_equal(np.min(x, axis=1), matrix([[1], [4]]))