Python numpy.info方法代码示例

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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() 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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) 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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) 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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) 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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 

# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import info [as 别名]
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