我们从Python开源项目中，提取了以下18个代码示例，用于说明如何使用numpy.info()。
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()
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
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)
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)
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
