Python numpy.core.numeric.allclose() Examples
The following are 5
code examples of numpy.core.numeric.allclose().
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 auto-alt-text-lambda-api with MIT License | 4 votes |
|
def real_if_close(a,tol=100):
"""
If complex input returns a real array if complex parts are close to zero.
"Close to zero" is defined as `tol` * (machine epsilon of the type for
`a`).
Parameters
----------
a : array_like
Input array.
tol : float
Tolerance in machine epsilons for the complex part of the elements
in the array.
Returns
-------
out : ndarray
If `a` is real, the type of `a` is used for the output. If `a`
has complex elements, the returned type is float.
See Also
--------
real, imag, angle
Notes
-----
Machine epsilon varies from machine to machine and between data types
but Python floats on most platforms have a machine epsilon equal to
2.2204460492503131e-16. You can use 'np.finfo(np.float).eps' to print
out the machine epsilon for floats.
Examples
--------
>>> np.finfo(np.float).eps
2.2204460492503131e-16
>>> np.real_if_close([2.1 + 4e-14j], tol=1000)
array([ 2.1])
>>> np.real_if_close([2.1 + 4e-13j], tol=1000)
array([ 2.1 +4.00000000e-13j])
"""
a = asanyarray(a)
if not issubclass(a.dtype.type, _nx.complexfloating):
return a
if tol > 1:
from numpy.core import getlimits
f = getlimits.finfo(a.dtype.type)
tol = f.eps * tol
if _nx.allclose(a.imag, 0, atol=tol):
a = a.real
return a
Example #2
| Source File: type_check.py From Computable with MIT License | 4 votes |
|
def real_if_close(a,tol=100):
"""
If complex input returns a real array if complex parts are close to zero.
"Close to zero" is defined as `tol` * (machine epsilon of the type for
`a`).
Parameters
----------
a : array_like
Input array.
tol : float
Tolerance in machine epsilons for the complex part of the elements
in the array.
Returns
-------
out : ndarray
If `a` is real, the type of `a` is used for the output. If `a`
has complex elements, the returned type is float.
See Also
--------
real, imag, angle
Notes
-----
Machine epsilon varies from machine to machine and between data types
but Python floats on most platforms have a machine epsilon equal to
2.2204460492503131e-16. You can use 'np.finfo(np.float).eps' to print
out the machine epsilon for floats.
Examples
--------
>>> np.finfo(np.float).eps
2.2204460492503131e-16
>>> np.real_if_close([2.1 + 4e-14j], tol=1000)
array([ 2.1])
>>> np.real_if_close([2.1 + 4e-13j], tol=1000)
array([ 2.1 +4.00000000e-13j])
"""
a = asanyarray(a)
if not issubclass(a.dtype.type, _nx.complexfloating):
return a
if tol > 1:
from numpy.core import getlimits
f = getlimits.finfo(a.dtype.type)
tol = f.eps * tol
if _nx.allclose(a.imag, 0, atol=tol):
a = a.real
return a
Example #3
| Source File: type_check.py From Fluid-Designer with GNU General Public License v3.0 | 4 votes |
|
def real_if_close(a,tol=100):
"""
If complex input returns a real array if complex parts are close to zero.
"Close to zero" is defined as `tol` * (machine epsilon of the type for
`a`).
Parameters
----------
a : array_like
Input array.
tol : float
Tolerance in machine epsilons for the complex part of the elements
in the array.
Returns
-------
out : ndarray
If `a` is real, the type of `a` is used for the output. If `a`
has complex elements, the returned type is float.
See Also
--------
real, imag, angle
Notes
-----
Machine epsilon varies from machine to machine and between data types
but Python floats on most platforms have a machine epsilon equal to
2.2204460492503131e-16. You can use 'np.finfo(np.float).eps' to print
out the machine epsilon for floats.
Examples
--------
>>> np.finfo(np.float).eps
2.2204460492503131e-16
>>> np.real_if_close([2.1 + 4e-14j], tol=1000)
array([ 2.1])
>>> np.real_if_close([2.1 + 4e-13j], tol=1000)
array([ 2.1 +4.00000000e-13j])
"""
a = asanyarray(a)
if not issubclass(a.dtype.type, _nx.complexfloating):
return a
if tol > 1:
from numpy.core import getlimits
f = getlimits.finfo(a.dtype.type)
tol = f.eps * tol
if _nx.allclose(a.imag, 0, atol=tol):
a = a.real
return a
Example #4
| Source File: type_check.py From ImageFusion with MIT License | 4 votes |
|
def real_if_close(a,tol=100):
"""
If complex input returns a real array if complex parts are close to zero.
"Close to zero" is defined as `tol` * (machine epsilon of the type for
`a`).
Parameters
----------
a : array_like
Input array.
tol : float
Tolerance in machine epsilons for the complex part of the elements
in the array.
Returns
-------
out : ndarray
If `a` is real, the type of `a` is used for the output. If `a`
has complex elements, the returned type is float.
See Also
--------
real, imag, angle
Notes
-----
Machine epsilon varies from machine to machine and between data types
but Python floats on most platforms have a machine epsilon equal to
2.2204460492503131e-16. You can use 'np.finfo(np.float).eps' to print
out the machine epsilon for floats.
Examples
--------
>>> np.finfo(np.float).eps
2.2204460492503131e-16
>>> np.real_if_close([2.1 + 4e-14j], tol=1000)
array([ 2.1])
>>> np.real_if_close([2.1 + 4e-13j], tol=1000)
array([ 2.1 +4.00000000e-13j])
"""
a = asanyarray(a)
if not issubclass(a.dtype.type, _nx.complexfloating):
return a
if tol > 1:
from numpy.core import getlimits
f = getlimits.finfo(a.dtype.type)
tol = f.eps * tol
if _nx.allclose(a.imag, 0, atol=tol):
a = a.real
return a
Example #5
| Source File: type_check.py From keras-lambda with MIT License | 4 votes |
|
def real_if_close(a,tol=100):
"""
If complex input returns a real array if complex parts are close to zero.
"Close to zero" is defined as `tol` * (machine epsilon of the type for
`a`).
Parameters
----------
a : array_like
Input array.
tol : float
Tolerance in machine epsilons for the complex part of the elements
in the array.
Returns
-------
out : ndarray
If `a` is real, the type of `a` is used for the output. If `a`
has complex elements, the returned type is float.
See Also
--------
real, imag, angle
Notes
-----
Machine epsilon varies from machine to machine and between data types
but Python floats on most platforms have a machine epsilon equal to
2.2204460492503131e-16. You can use 'np.finfo(np.float).eps' to print
out the machine epsilon for floats.
Examples
--------
>>> np.finfo(np.float).eps
2.2204460492503131e-16
>>> np.real_if_close([2.1 + 4e-14j], tol=1000)
array([ 2.1])
>>> np.real_if_close([2.1 + 4e-13j], tol=1000)
array([ 2.1 +4.00000000e-13j])
"""
a = asanyarray(a)
if not issubclass(a.dtype.type, _nx.complexfloating):
return a
if tol > 1:
from numpy.core import getlimits
f = getlimits.finfo(a.dtype.type)
tol = f.eps * tol
if _nx.allclose(a.imag, 0, atol=tol):
a = a.real
return a
