Here are the examples of the python api numpy.asarray.view taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
32 Examples
3
View Complete Implementation : base.py
Copyright MIT License
Author : alesgenova
Copyright MIT License
Author : alesgenova
def __new__(cls, pos):
# Input array is an already formed ndarray instance
# We first cast to be our clast type
obj = np.asarray(pos).view(cls)
# add the new attribute to the created instance
# Finally, we must return the newly created object:
return obj
3
View Complete Implementation : mio5_params.py
Copyright MIT License
Author : alvarob96
Copyright MIT License
Author : alvarob96
def __new__(cls, input_array, clastname=None):
# Input array is an already formed ndarray instance
# We first cast to be our clast type
obj = np.asarray(input_array).view(cls)
# add the new attribute to the created instance
obj.clastname = clastname
# Finally, we must return the newly created object:
return obj
3
View Complete Implementation : yolo.py
Copyright MIT License
Author : goktug97
Copyright MIT License
Author : goktug97
def __new__(cls, x, y, w, h, prob, name):
cls.name = name
cls.prob = prob
obj = np.asarray([x, y, w, h]).view(cls)
obj.x, obj.y, obj.w, obj.h = obj.view()
return obj
3
View Complete Implementation : _util.py
Copyright GNU Affero General Public License v3.0
Author : kernc
Copyright GNU Affero General Public License v3.0
Author : kernc
def __new__(cls, array, name=None, write=False, **kwargs):
obj = np.asarray(array).view(cls)
obj.name = name or array.name
obj._opts = kwargs
if not write:
obj.setflags(write=False)
return obj
3
View Complete Implementation : frequencies.py
Copyright MIT License
Author : ktraunmueller
Copyright MIT License
Author : ktraunmueller
def __init__(self, index, warn=True):
self.index = index
self.values = np.asarray(index).view('i8')
self.warn = warn
if len(index) < 3:
raise ValueError('Need at least 3 dates to infer frequency')
self.is_monotonic = self.index.is_monotonic
3
View Complete Implementation : surface_integrals.py
Copyright GNU General Public License v3.0
Author : mancellin
Copyright GNU General Public License v3.0
Author : mancellin
def __new__(cls, points):
obj = np.asarray(points).view(cls)
cls.x = property(fget=lambda cls: cls[:, 0])
cls.y = property(fget=lambda cls: cls[:, 1])
cls.z = property(fget=lambda cls: cls[:, 2])
return obj
3
View Complete Implementation : view.py
Copyright GNU General Public License v3.0
Author : mdbartos
Copyright GNU General Public License v3.0
Author : mdbartos
def __new__(cls, input_array, viewfinder, metadata=None):
obj = np.asarray(input_array).view(cls)
try:
astert(issubclast(type(viewfinder), BaseViewFinder))
except:
raise ValueError("Must initialize with a ViewFinder")
obj.viewfinder = viewfinder
obj.metadata = metadata
return obj
3
View Complete Implementation : physics_constants.py
Copyright MIT License
Author : microsoft
Copyright MIT License
Author : microsoft
def __new__(cls, input_array, unit=None):
# Input array is an already formed ndarray instance
# We first cast to be our clast type
if input_array is None:
return None
obj = np.asarray(input_array).view(cls)
# add the unit to the created instance
obj.unit = unit
obj.dtype = input_array.dtype
# Finally, we must return the newly created object:
return obj
3
View Complete Implementation : array.py
Copyright Apache License 2.0
Author : paninski-lab
Copyright Apache License 2.0
Author : paninski-lab
def __new__(cls, input_array, metadata=None):
# Input array is an already formed ndarray instance
# We first cast to be our clast type
obj = np.asarray(input_array).view(cls)
# add the new attribute to the created instance
obj.metadata = metadata
# Finally, we must return the newly created object:
return obj
3
View Complete Implementation : units.py
Copyright GNU Lesser General Public License v3.0
Author : radis
Copyright GNU Lesser General Public License v3.0
Author : radis
def __new__(cls, input_array, unit=None):
# Input array is an already formed ndarray instance
# We first cast to be our clast type
obj = np.asarray(input_array).view(cls)
# add the new attribute to the created instance
if unit is not None:
obj = Q_(obj, unit)
# Finally, we must return the newly created object:
return obj