Python numpy.core.numeric.obj2sctype() Examples
The following are 10
code examples of numpy.core.numeric.obj2sctype().
You can vote up the ones you like or vote down the ones you don't like,
and go to the original project or source file by following the links above each example.
You may also want to check out all available functions/classes of the module
numpy.core.numeric
, or try the search function
.
.
Example #1
| Source File: type_check.py From lambda-packs with MIT License | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #2
| Source File: type_check.py From auto-alt-text-lambda-api with MIT License | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #3
| Source File: type_check.py From Computable with MIT License | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #4
| Source File: type_check.py From afnumpy with BSD 2-Clause "Simplified" License | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return afnumpy.asarray(a, dtype=dtype)
Example #5
| Source File: type_check.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #6
| Source File: type_check.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #7
| Source File: type_check.py From ImageFusion with MIT License | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #8
| Source File: type_check.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #9
| Source File: type_check.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
Example #10
| Source File: type_check.py From keras-lambda with MIT License | 5 votes |
|
def asfarray(a, dtype=_nx.float_):
"""
Return an array converted to a float type.
Parameters
----------
a : array_like
The input array.
dtype : str or dtype object, optional
Float type code to coerce input array `a`. If `dtype` is one of the
'int' dtypes, it is replaced with float64.
Returns
-------
out : ndarray
The input `a` as a float ndarray.
Examples
--------
>>> np.asfarray([2, 3])
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='float')
array([ 2., 3.])
>>> np.asfarray([2, 3], dtype='int8')
array([ 2., 3.])
"""
dtype = _nx.obj2sctype(dtype)
if not issubclass(dtype, _nx.inexact):
dtype = _nx.float_
return asarray(a, dtype=dtype)
