Python numpy.info() Examples
The following are 30
code examples of numpy.info().
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
, or try the search function
.
.
Example #1
| Source File: test_regression.py From coffeegrindsize with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #2
| Source File: feature_lfnet.py From pyslam with GNU General Public License v3.0 | 5 votes |
|
def debug(self,pts,scales,orientations,scale_maps,heatmaps):
print('orientations:',orientations)
print('scales:',scales)
print('heatmaps info:')
np.info(heatmaps)
print('scalemaps info:')
np.info(scale_maps)
heatmaps_img = img_from_floats(heatmaps)
cv2.imshow('heatmap',heatmaps_img)
scalemaps_img = img_from_floats(scale_maps)
cv2.imshow('scale maps',scalemaps_img)
cv2.waitKey(1)
Example #3
| Source File: test_regression.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #4
| Source File: test_regression.py From pySINDy with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #5
| Source File: test_regression.py From ImageFusion with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #6
| Source File: test_regression.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #7
| Source File: test_regression.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #8
| Source File: test_regression.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #9
| Source File: test_regression.py From Mastering-Elasticsearch-7.0 with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #10
| Source File: test_regression.py From Computable with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #11
| Source File: test_regression.py From vnpy_crypto with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #12
| Source File: test_regression.py From keras-lambda with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #13
| Source File: test_regression.py From auto-alt-text-lambda-api with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #14
| Source File: test_regression.py From recruit with Apache License 2.0 | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #15
| Source File: test_regression.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #16
| Source File: test_regression.py From lambda-packs with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #17
| Source File: test_regression.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_py3_compat(self):
# gh-2561
# Test if the oldstyle class test is bypassed in python3
class C():
"""Old-style class in python2, normal class in python3"""
pass
out = open(os.devnull, 'w')
try:
np.info(C(), output=out)
except AttributeError:
raise AssertionError()
finally:
out.close()
Example #18
| Source File: utils.py From twitter-stock-recommendation with MIT License | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a NumPy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except Exception:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #19
| Source File: utils.py From ImageFusion with MIT License | 4 votes |
|
def _info(obj, output=sys.stdout):
"""Provide information about ndarray obj.
Parameters
----------
obj: ndarray
Must be ndarray, not checked.
output:
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
"""
extra = ""
tic = ""
bp = lambda x: x
cls = getattr(obj, '__class__', type(obj))
nm = getattr(cls, '__name__', cls)
strides = obj.strides
endian = obj.dtype.byteorder
print("class: ", nm, file=output)
print("shape: ", obj.shape, file=output)
print("strides: ", strides, file=output)
print("itemsize: ", obj.itemsize, file=output)
print("aligned: ", bp(obj.flags.aligned), file=output)
print("contiguous: ", bp(obj.flags.contiguous), file=output)
print("fortran: ", obj.flags.fortran, file=output)
print(
"data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
file=output
)
print("byteorder: ", end=' ', file=output)
if endian in ['|', '=']:
print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
byteswap = False
elif endian == '>':
print("%sbig%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "big"
else:
print("%slittle%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "little"
print("byteswap: ", bp(byteswap), file=output)
print("type: %s" % obj.dtype, file=output)
Example #20
| Source File: utils.py From ImageFusion with MIT License | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a Numpy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #21
| Source File: utils.py From keras-lambda with MIT License | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a Numpy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #22
| Source File: utils.py From keras-lambda with MIT License | 4 votes |
|
def _info(obj, output=sys.stdout):
"""Provide information about ndarray obj.
Parameters
----------
obj: ndarray
Must be ndarray, not checked.
output:
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
"""
extra = ""
tic = ""
bp = lambda x: x
cls = getattr(obj, '__class__', type(obj))
nm = getattr(cls, '__name__', cls)
strides = obj.strides
endian = obj.dtype.byteorder
print("class: ", nm, file=output)
print("shape: ", obj.shape, file=output)
print("strides: ", strides, file=output)
print("itemsize: ", obj.itemsize, file=output)
print("aligned: ", bp(obj.flags.aligned), file=output)
print("contiguous: ", bp(obj.flags.contiguous), file=output)
print("fortran: ", obj.flags.fortran, file=output)
print(
"data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
file=output
)
print("byteorder: ", end=' ', file=output)
if endian in ['|', '=']:
print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
byteswap = False
elif endian == '>':
print("%sbig%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "big"
else:
print("%slittle%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "little"
print("byteswap: ", bp(byteswap), file=output)
print("type: %s" % obj.dtype, file=output)
Example #23
| Source File: utils.py From Splunking-Crime with GNU Affero General Public License v3.0 | 4 votes |
|
def _info(obj, output=sys.stdout):
"""Provide information about ndarray obj.
Parameters
----------
obj : ndarray
Must be ndarray, not checked.
output
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
"""
extra = ""
tic = ""
bp = lambda x: x
cls = getattr(obj, '__class__', type(obj))
nm = getattr(cls, '__name__', cls)
strides = obj.strides
endian = obj.dtype.byteorder
print("class: ", nm, file=output)
print("shape: ", obj.shape, file=output)
print("strides: ", strides, file=output)
print("itemsize: ", obj.itemsize, file=output)
print("aligned: ", bp(obj.flags.aligned), file=output)
print("contiguous: ", bp(obj.flags.contiguous), file=output)
print("fortran: ", obj.flags.fortran, file=output)
print(
"data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
file=output
)
print("byteorder: ", end=' ', file=output)
if endian in ['|', '=']:
print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
byteswap = False
elif endian == '>':
print("%sbig%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "big"
else:
print("%slittle%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "little"
print("byteswap: ", bp(byteswap), file=output)
print("type: %s" % obj.dtype, file=output)
Example #24
| Source File: utils.py From Splunking-Crime with GNU Affero General Public License v3.0 | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a NumPy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #25
| Source File: utils.py From elasticintel with GNU General Public License v3.0 | 4 votes |
|
def _info(obj, output=sys.stdout):
"""Provide information about ndarray obj.
Parameters
----------
obj : ndarray
Must be ndarray, not checked.
output
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
"""
extra = ""
tic = ""
bp = lambda x: x
cls = getattr(obj, '__class__', type(obj))
nm = getattr(cls, '__name__', cls)
strides = obj.strides
endian = obj.dtype.byteorder
print("class: ", nm, file=output)
print("shape: ", obj.shape, file=output)
print("strides: ", strides, file=output)
print("itemsize: ", obj.itemsize, file=output)
print("aligned: ", bp(obj.flags.aligned), file=output)
print("contiguous: ", bp(obj.flags.contiguous), file=output)
print("fortran: ", obj.flags.fortran, file=output)
print(
"data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
file=output
)
print("byteorder: ", end=' ', file=output)
if endian in ['|', '=']:
print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
byteswap = False
elif endian == '>':
print("%sbig%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "big"
else:
print("%slittle%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "little"
print("byteswap: ", bp(byteswap), file=output)
print("type: %s" % obj.dtype, file=output)
Example #26
| Source File: utils.py From elasticintel with GNU General Public License v3.0 | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a NumPy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #27
| Source File: utils.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a NumPy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except Exception:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #28
| Source File: utils.py From coffeegrindsize with MIT License | 4 votes |
|
def _info(obj, output=sys.stdout):
"""Provide information about ndarray obj.
Parameters
----------
obj : ndarray
Must be ndarray, not checked.
output
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
"""
extra = ""
tic = ""
bp = lambda x: x
cls = getattr(obj, '__class__', type(obj))
nm = getattr(cls, '__name__', cls)
strides = obj.strides
endian = obj.dtype.byteorder
print("class: ", nm, file=output)
print("shape: ", obj.shape, file=output)
print("strides: ", strides, file=output)
print("itemsize: ", obj.itemsize, file=output)
print("aligned: ", bp(obj.flags.aligned), file=output)
print("contiguous: ", bp(obj.flags.contiguous), file=output)
print("fortran: ", obj.flags.fortran, file=output)
print(
"data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
file=output
)
print("byteorder: ", end=' ', file=output)
if endian in ['|', '=']:
print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
byteswap = False
elif endian == '>':
print("%sbig%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "big"
else:
print("%slittle%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "little"
print("byteswap: ", bp(byteswap), file=output)
print("type: %s" % obj.dtype, file=output)
Example #29
| Source File: utils.py From coffeegrindsize with MIT License | 4 votes |
|
def source(object, output=sys.stdout):
"""
Print or write to a file the source code for a NumPy object.
The source code is only returned for objects written in Python. Many
functions and classes are defined in C and will therefore not return
useful information.
Parameters
----------
object : numpy object
Input object. This can be any object (function, class, module,
...).
output : file object, optional
If `output` not supplied then source code is printed to screen
(sys.stdout). File object must be created with either write 'w' or
append 'a' modes.
See Also
--------
lookfor, info
Examples
--------
>>> np.source(np.interp) #doctest: +SKIP
In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
def interp(x, xp, fp, left=None, right=None):
\"\"\".... (full docstring printed)\"\"\"
if isinstance(x, (float, int, number)):
return compiled_interp([x], xp, fp, left, right).item()
else:
return compiled_interp(x, xp, fp, left, right)
The source code is only returned for objects written in Python.
>>> np.source(np.array) #doctest: +SKIP
Not available for this object.
"""
# Local import to speed up numpy's import time.
import inspect
try:
print("In file: %s\n" % inspect.getsourcefile(object), file=output)
print(inspect.getsource(object), file=output)
except Exception:
print("Not available for this object.", file=output)
# Cache for lookfor: {id(module): {name: (docstring, kind, index), ...}...}
# where kind: "func", "class", "module", "object"
# and index: index in breadth-first namespace traversal
Example #30
| Source File: utils.py From twitter-stock-recommendation with MIT License | 4 votes |
|
def _info(obj, output=sys.stdout):
"""Provide information about ndarray obj.
Parameters
----------
obj : ndarray
Must be ndarray, not checked.
output
Where printed output goes.
Notes
-----
Copied over from the numarray module prior to its removal.
Adapted somewhat as only numpy is an option now.
Called by info.
"""
extra = ""
tic = ""
bp = lambda x: x
cls = getattr(obj, '__class__', type(obj))
nm = getattr(cls, '__name__', cls)
strides = obj.strides
endian = obj.dtype.byteorder
print("class: ", nm, file=output)
print("shape: ", obj.shape, file=output)
print("strides: ", strides, file=output)
print("itemsize: ", obj.itemsize, file=output)
print("aligned: ", bp(obj.flags.aligned), file=output)
print("contiguous: ", bp(obj.flags.contiguous), file=output)
print("fortran: ", obj.flags.fortran, file=output)
print(
"data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
file=output
)
print("byteorder: ", end=' ', file=output)
if endian in ['|', '=']:
print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
byteswap = False
elif endian == '>':
print("%sbig%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "big"
else:
print("%slittle%s" % (tic, tic), file=output)
byteswap = sys.byteorder != "little"
print("byteswap: ", bp(byteswap), file=output)
print("type: %s" % obj.dtype, file=output)
