本文整理汇总了Python中numpy.core.multiarray._vec_string方法的典型用法代码示例。如果您正苦于以下问题:Python multiarray._vec_string方法的具体用法?Python multiarray._vec_string怎么用?Python multiarray._vec_string使用的例子?那么恭喜您, 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.core.multiarray
的用法示例。
在下文中一共展示了multiarray._vec_string方法的15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: str_len
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def str_len(a):
"""
Return len(a) element-wise.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of integers
See also
--------
__builtin__.len
"""
return _vec_string(a, integer, '__len__')
示例2: add
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def add(x1, x2):
"""
Return element-wise string concatenation for two arrays of str or unicode.
Arrays `x1` and `x2` must have the same shape.
Parameters
----------
x1 : array_like of str or unicode
Input array.
x2 : array_like of str or unicode
Input array.
Returns
-------
add : ndarray
Output array of `string_` or `unicode_`, depending on input types
of the same shape as `x1` and `x2`.
"""
arr1 = numpy.asarray(x1)
arr2 = numpy.asarray(x2)
out_size = _get_num_chars(arr1) + _get_num_chars(arr2)
dtype = _use_unicode(arr1, arr2)
return _vec_string(arr1, (dtype, out_size), '__add__', (arr2,))
示例3: mod
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def mod(a, values):
"""
Return (a % i), that is pre-Python 2.6 string formatting
(iterpolation), element-wise for a pair of array_likes of str
or unicode.
Parameters
----------
a : array_like of str or unicode
values : array_like of values
These values will be element-wise interpolated into the string.
Returns
-------
out : ndarray
Output array of str or unicode, depending on input types
See also
--------
str.__mod__
"""
return _to_string_or_unicode_array(
_vec_string(a, object_, '__mod__', (values,)))
示例4: isalnum
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def isalnum(a):
"""
Returns true for each element if all characters in the string are
alphanumeric and there is at least one character, false otherwise.
Calls `str.isalnum` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of str or unicode, depending on input type
See also
--------
str.isalnum
"""
return _vec_string(a, bool_, 'isalnum')
示例5: isalpha
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def isalpha(a):
"""
Returns true for each element if all characters in the string are
alphabetic and there is at least one character, false otherwise.
Calls `str.isalpha` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of bools
See also
--------
str.isalpha
"""
return _vec_string(a, bool_, 'isalpha')
示例6: isdigit
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def isdigit(a):
"""
Returns true for each element if all characters in the string are
digits and there is at least one character, false otherwise.
Calls `str.isdigit` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of bools
See also
--------
str.isdigit
"""
return _vec_string(a, bool_, 'isdigit')
示例7: islower
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def islower(a):
"""
Returns true for each element if all cased characters in the
string are lowercase and there is at least one cased character,
false otherwise.
Calls `str.islower` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of bools
See also
--------
str.islower
"""
return _vec_string(a, bool_, 'islower')
示例8: istitle
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def istitle(a):
"""
Returns true for each element if the element is a titlecased
string and there is at least one character, false otherwise.
Call `str.istitle` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of bools
See also
--------
str.istitle
"""
return _vec_string(a, bool_, 'istitle')
示例9: isupper
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def isupper(a):
"""
Returns true for each element if all cased characters in the
string are uppercase and there is at least one character, false
otherwise.
Call `str.isupper` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Returns
-------
out : ndarray
Output array of bools
See also
--------
str.isupper
"""
return _vec_string(a, bool_, 'isupper')
示例10: join
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def join(sep, seq):
"""
Return a string which is the concatenation of the strings in the
sequence `seq`.
Calls `str.join` element-wise.
Parameters
----------
sep : array_like of str or unicode
seq : array_like of str or unicode
Returns
-------
out : ndarray
Output array of str or unicode, depending on input types
See also
--------
str.join
"""
return _to_string_or_unicode_array(
_vec_string(sep, object_, 'join', (seq,)))
示例11: multiply
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def multiply(a, i):
"""
Return (a * i), that is string multiple concatenation,
element-wise.
Values in `i` of less than 0 are treated as 0 (which yields an
empty string).
Parameters
----------
a : array_like of str or unicode
i : array_like of ints
Returns
-------
out : ndarray
Output array of str or unicode, depending on input types
"""
a_arr = numpy.asarray(a)
i_arr = numpy.asarray(i)
if not issubclass(i_arr.dtype.type, integer):
raise ValueError("Can only multiply by integers")
out_size = _get_num_chars(a_arr) * max(long(i_arr.max()), 0)
return _vec_string(
a_arr, (a_arr.dtype.type, out_size), '__mul__', (i_arr,))
示例12: capitalize
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def capitalize(a):
"""
Return a copy of `a` with only the first character of each element
capitalized.
Calls `str.capitalize` element-wise.
For 8-bit strings, this method is locale-dependent.
Parameters
----------
a : array_like of str or unicode
Input array of strings to capitalize.
Returns
-------
out : ndarray
Output array of str or unicode, depending on input
types
See also
--------
str.capitalize
Examples
--------
>>> c = np.array(['a1b2','1b2a','b2a1','2a1b'],'S4'); c
array(['a1b2', '1b2a', 'b2a1', '2a1b'],
dtype='|S4')
>>> np.char.capitalize(c)
array(['A1b2', '1b2a', 'B2a1', '2a1b'],
dtype='|S4')
"""
a_arr = numpy.asarray(a)
return _vec_string(a_arr, a_arr.dtype, 'capitalize')
示例13: encode
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def encode(a, encoding=None, errors=None):
"""
Calls `str.encode` element-wise.
The set of available codecs comes from the Python standard library,
and may be extended at runtime. For more information, see the codecs
module.
Parameters
----------
a : array_like of str or unicode
encoding : str, optional
The name of an encoding
errors : str, optional
Specifies how to handle encoding errors
Returns
-------
out : ndarray
See also
--------
str.encode
Notes
-----
The type of the result will depend on the encoding specified.
"""
return _to_string_or_unicode_array(
_vec_string(a, object_, 'encode', _clean_args(encoding, errors)))
示例14: expandtabs
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def expandtabs(a, tabsize=8):
"""
Return a copy of each string element where all tab characters are
replaced by one or more spaces.
Calls `str.expandtabs` element-wise.
Return a copy of each string element where all tab characters are
replaced by one or more spaces, depending on the current column
and the given `tabsize`. The column number is reset to zero after
each newline occurring in the string. This doesn't understand other
non-printing characters or escape sequences.
Parameters
----------
a : array_like of str or unicode
Input array
tabsize : int, optional
Replace tabs with `tabsize` number of spaces. If not given defaults
to 8 spaces.
Returns
-------
out : ndarray
Output array of str or unicode, depending on input type
See also
--------
str.expandtabs
"""
return _to_string_or_unicode_array(
_vec_string(a, object_, 'expandtabs', (tabsize,)))
示例15: index
# 需要导入模块: from numpy.core import multiarray [as 别名]
# 或者: from numpy.core.multiarray import _vec_string [as 别名]
def index(a, sub, start=0, end=None):
"""
Like `find`, but raises `ValueError` when the substring is not found.
Calls `str.index` element-wise.
Parameters
----------
a : array_like of str or unicode
sub : str or unicode
start, end : int, optional
Returns
-------
out : ndarray
Output array of ints. Returns -1 if `sub` is not found.
See also
--------
find, str.find
"""
return _vec_string(
a, integer, 'index', [sub, start] + _clean_args(end))