本文整理汇总了Python中numpy.compat.bytes方法的典型用法代码示例。如果您正苦于以下问题:Python compat.bytes方法的具体用法?Python compat.bytes怎么用?Python compat.bytes使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.compat
的用法示例。
在下文中一共展示了compat.bytes方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _decode_line
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def _decode_line(line, encoding=None):
"""Decode bytes from binary input streams.
Defaults to decoding from 'latin1'. That differs from the behavior of
np.compat.asunicode that decodes from 'ascii'.
Parameters
----------
line : str or bytes
Line to be decoded.
Returns
-------
decoded_line : unicode
Unicode in Python 2, a str (unicode) in Python 3.
"""
if type(line) is bytes:
if encoding is None:
line = line.decode('latin1')
else:
line = line.decode(encoding)
return line
示例2: _set_array_types
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def _set_array_types():
ibytes = [1, 2, 4, 8, 16, 32, 64]
fbytes = [2, 4, 8, 10, 12, 16, 32, 64]
for bytes in ibytes:
bits = 8*bytes
_add_array_type('int', bits)
_add_array_type('uint', bits)
for bytes in fbytes:
bits = 8*bytes
_add_array_type('float', bits)
_add_array_type('complex', 2*bits)
_gi = dtype('p')
if _gi.type not in sctypes['int']:
indx = 0
sz = _gi.itemsize
_lst = sctypes['int']
while (indx < len(_lst) and sz >= _lst[indx](0).itemsize):
indx += 1
sctypes['int'].insert(indx, _gi.type)
sctypes['uint'].insert(indx, dtype('P').type)
示例3: default_fill_value
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def default_fill_value (obj):
"Function to calculate default fill value for an object."
if isinstance(obj, float):
return default_real_fill_value
elif isinstance(obj, int) or isinstance(obj, long):
return default_integer_fill_value
elif isinstance(obj, bytes):
return default_character_fill_value
elif isinstance(obj, complex):
return default_complex_fill_value
elif isinstance(obj, MaskedArray) or isinstance(obj, ndarray):
x = obj.dtype.char
if x in typecodes['Float']:
return default_real_fill_value
if x in typecodes['Integer']:
return default_integer_fill_value
if x in typecodes['Complex']:
return default_complex_fill_value
if x in typecodes['Character']:
return default_character_fill_value
if x in typecodes['UnsignedInteger']:
return umath.absolute(default_integer_fill_value)
return default_object_fill_value
else:
return default_object_fill_value
示例4: _is_bytes_like
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def _is_bytes_like(obj):
"""
Check whether obj behaves like a bytes object.
"""
try:
obj + b''
except (TypeError, ValueError):
return False
return True
示例5: strptime
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def strptime(s, fmt=None):
"""
This function is available in the datetime module only from Python >=
2.5.
"""
if type(s) == bytes:
s = s.decode("latin1")
return datetime(*time.strptime(s, fmt)[:3])
示例6: test_dtype_with_converters
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def test_dtype_with_converters(self):
dstr = "2009; 23; 46"
test = np.ndfromtxt(TextIO(dstr,),
delimiter=";", dtype=float, converters={0: bytes})
control = np.array([('2009', 23., 46)],
dtype=[('f0', '|S4'), ('f1', float), ('f2', float)])
assert_equal(test, control)
test = np.ndfromtxt(TextIO(dstr,),
delimiter=";", dtype=float, converters={0: float})
control = np.array([2009., 23., 46],)
assert_equal(test, control)
示例7: test_userconverters_with_explicit_dtype
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def test_userconverters_with_explicit_dtype(self):
# Test user_converters w/ explicit (standard) dtype
data = TextIO('skip,skip,2001-01-01,1.0,skip')
test = np.genfromtxt(data, delimiter=",", names=None, dtype=float,
usecols=(2, 3), converters={2: bytes})
control = np.array([('2001-01-01', 1.)],
dtype=[('', '|S10'), ('', float)])
assert_equal(test, control)
示例8: test_recfromcsv
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def test_recfromcsv(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(missing_values="N/A", names=True, case_sensitive=True)
test = np.recfromcsv(data, dtype=None, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromcsv(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
#
data = TextIO('A,B\n0,1\n2,3')
test = np.recfromcsv(data, missing_values='N/A',)
control = np.array([(0, 1), (2, 3)],
dtype=[('a', int), ('b', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,3')
dtype = [('a', int), ('b', float)]
test = np.recfromcsv(data, missing_values='N/A', dtype=dtype)
control = np.array([(0, 1), (2, 3)],
dtype=dtype)
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#gh-10394
data = TextIO('color\n"red"\n"blue"')
test = np.recfromcsv(data, converters={0: lambda x: x.strip(b'\"')})
control = np.array([('red',), ('blue',)], dtype=[('color', (bytes, 4))])
assert_equal(test.dtype, control.dtype)
assert_equal(test, control)
示例9: _is_bytes_like
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import bytes [as 别名]
def _is_bytes_like(obj):
"""
Check whether obj behaves like a bytes object.
"""
try:
obj + asbytes('')
except (TypeError, ValueError):
return False
return True