本文整理汇总了Python中numpy.compat.basestring方法的典型用法代码示例。如果您正苦于以下问题:Python compat.basestring方法的具体用法?Python compat.basestring怎么用?Python compat.basestring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.basestring方法的7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: _compare
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def _compare(self, other):
if not isinstance(other, (basestring, NumpyVersion)):
raise ValueError("Invalid object to compare with NumpyVersion.")
if isinstance(other, basestring):
other = NumpyVersion(other)
vercmp = self._compare_version(other)
if vercmp == 0:
# Same x.y.z version, check for alpha/beta/rc
vercmp = self._compare_pre_release(other)
if vercmp == 0:
# Same version and same pre-release, check if dev version
if self.is_devversion is other.is_devversion:
vercmp = 0
elif self.is_devversion:
vercmp = -1
else:
vercmp = 1
return vercmp
示例2: is_string
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def is_string(s):
return isinstance(s, basestring)
示例3: _izip_fields
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def _izip_fields(iterable):
"""
Returns an iterator of concatenated fields from a sequence of arrays.
"""
for element in iterable:
if (hasattr(element, '__iter__') and
not isinstance(element, basestring)):
for f in _izip_fields(element):
yield f
elif isinstance(element, np.void) and len(tuple(element)) == 1:
for f in _izip_fields(element):
yield f
else:
yield element
示例4: __init__
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def __init__(self, delimiter=None, comments='#', autostrip=True, encoding=None):
delimiter = _decode_line(delimiter)
comments = _decode_line(comments)
self.comments = comments
# Delimiter is a character
if (delimiter is None) or isinstance(delimiter, basestring):
delimiter = delimiter or None
_handyman = self._delimited_splitter
# Delimiter is a list of field widths
elif hasattr(delimiter, '__iter__'):
_handyman = self._variablewidth_splitter
idx = np.cumsum([0] + list(delimiter))
delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
# Delimiter is a single integer
elif int(delimiter):
(_handyman, delimiter) = (
self._fixedwidth_splitter, int(delimiter))
else:
(_handyman, delimiter) = (self._delimited_splitter, None)
self.delimiter = delimiter
if autostrip:
self._handyman = self.autostrip(_handyman)
else:
self._handyman = _handyman
self.encoding = encoding
#
示例5: __setitem__
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def __setitem__(self, indx, value):
"""
Sets the given record to value.
"""
MaskedArray.__setitem__(self, indx, value)
if isinstance(indx, basestring):
self._mask[indx] = ma.getmaskarray(value)
示例6: _test_argv
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def _test_argv(self, label, verbose, extra_argv):
''' Generate argv for nosetest command
Parameters
----------
label : {'fast', 'full', '', attribute identifier}, optional
see ``test`` docstring
verbose : int, optional
Verbosity value for test outputs, in the range 1-10. Default is 1.
extra_argv : list, optional
List with any extra arguments to pass to nosetests.
Returns
-------
argv : list
command line arguments that will be passed to nose
'''
argv = [__file__, self.package_path, '-s']
if label and label != 'full':
if not isinstance(label, basestring):
raise TypeError('Selection label should be a string')
if label == 'fast':
label = 'not slow'
argv += ['-A', label]
argv += ['--verbosity', str(verbose)]
# When installing with setuptools, and also in some other cases, the
# test_*.py files end up marked +x executable. Nose, by default, does
# not run files marked with +x as they might be scripts. However, in
# our case nose only looks for test_*.py files under the package
# directory, which should be safe.
argv += ['--exe']
if extra_argv:
argv += extra_argv
return argv
示例7: __getitem__
# 需要导入模块: from numpy import compat [as 别名]
# 或者: from numpy.compat import basestring [as 别名]
def __getitem__(self, indx):
"""
Returns all the fields sharing the same fieldname base.
The fieldname base is either `_data` or `_mask`.
"""
_localdict = self.__dict__
_mask = ndarray.__getattribute__(self, '_mask')
_data = ndarray.view(self, _localdict['_baseclass'])
# We want a field
if isinstance(indx, basestring):
# Make sure _sharedmask is True to propagate back to _fieldmask
# Don't use _set_mask, there are some copies being made that
# break propagation Don't force the mask to nomask, that wreaks
# easy masking
obj = _data[indx].view(MaskedArray)
obj._mask = _mask[indx]
obj._sharedmask = True
fval = _localdict['_fill_value']
if fval is not None:
obj._fill_value = fval[indx]
# Force to masked if the mask is True
if not obj.ndim and obj._mask:
return masked
return obj
# We want some elements.
# First, the data.
obj = np.array(_data[indx], copy=False).view(mrecarray)
obj._mask = np.array(_mask[indx], copy=False).view(recarray)
return obj