Python numpy.core.numeric.indices() Examples
The following are 30
code examples of numpy.core.numeric.indices().
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Example #1
| Source File: ma.py From Computable with MIT License | 6 votes |
|
def choose (indices, t, out=None, mode='raise'):
"Returns array shaped like indices with elements chosen from t"
def fmask (x):
if x is masked: return 1
return filled(x)
def nmask (x):
if x is masked: return 1
m = getmask(x)
if m is nomask: return 0
return m
c = filled(indices, 0)
masks = [nmask(x) for x in t]
a = [fmask(x) for x in t]
d = numeric.choose(c, a)
m = numeric.choose(c, masks)
m = make_mask(mask_or(m, getmask(indices)), copy=0, flag=1)
return masked_array(d, m)
Example #2
| Source File: index_tricks.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #3
| Source File: index_tricks.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #4
| Source File: index_tricks.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #5
| Source File: index_tricks.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #6
| Source File: index_tricks.py From coffeegrindsize with MIT License | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #7
| Source File: index_tricks.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #8
| Source File: index_tricks.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #9
| Source File: index_tricks.py From Carnets with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #10
| Source File: index_tricks.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #11
| Source File: index_tricks.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #12
| Source File: index_tricks.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #13
| Source File: index_tricks.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #14
| Source File: index_tricks.py From coffeegrindsize with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #15
| Source File: index_tricks.py From ImageFusion with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #16
| Source File: index_tricks.py From ImageFusion with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #17
| Source File: index_tricks.py From ImageFusion with MIT License | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #18
| Source File: index_tricks.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #19
| Source File: index_tricks.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #20
| Source File: index_tricks.py From pySINDy with MIT License | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #21
| Source File: index_tricks.py From pySINDy with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #22
| Source File: index_tricks.py From pySINDy with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #23
| Source File: index_tricks.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #24
| Source File: index_tricks.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #25
| Source File: index_tricks.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #26
| Source File: index_tricks.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #27
| Source File: index_tricks.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
Example #28
| Source File: index_tricks.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.
See `diag_indices` for full details.
Parameters
----------
arr : array, at least 2-D
See Also
--------
diag_indices
Notes
-----
.. versionadded:: 1.4.0
"""
if not arr.ndim >= 2:
raise ValueError("input array must be at least 2-d")
# For more than d=2, the strided formula is only valid for arrays with
# all dimensions equal, so we check first.
if not alltrue(diff(arr.shape) == 0):
raise ValueError("All dimensions of input must be of equal length")
return diag_indices(arr.shape[0], arr.ndim)
Example #29
| Source File: index_tricks.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, updates the index and returns the index
tuple.
Returns
-------
val : tuple of ints
Returns a tuple containing the indices of the current
iteration.
"""
next(self._it)
return self._it.multi_index
Example #30
| Source File: index_tricks.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def __next__(self):
"""
Standard iterator method, returns the index tuple and array value.
Returns
-------
coords : tuple of ints
The indices of the current iteration.
val : scalar
The array element of the current iteration.
"""
return self.iter.coords, next(self.iter)
