id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
169,102 | import numpy as np
from numpy.core.numeric import normalize_axis_tuple
from numpy.core.overrides import array_function_dispatch, set_module
def _broadcast_shape(*args):
"""Returns the shape of the arrays that would result from broadcasting the
supplied arrays against each other.
"""
# use the old-iterat... | Broadcast the input shapes into a single shape. :ref:`Learn more about broadcasting here <basics.broadcasting>`. .. versionadded:: 1.20.0 Parameters ---------- `*args` : tuples of ints, or ints The shapes to be broadcast against each other. Returns ------- tuple Broadcasted shape. Raises ------ ValueError If the shapes... |
169,103 | import numpy as np
from numpy.core.numeric import normalize_axis_tuple
from numpy.core.overrides import array_function_dispatch, set_module
def _broadcast_arrays_dispatcher(*args, subok=None):
return args | null |
169,104 | import numpy as np
from numpy.core.numeric import normalize_axis_tuple
from numpy.core.overrides import array_function_dispatch, set_module
def _broadcast_to(array, shape, subok, readonly):
shape = tuple(shape) if np.iterable(shape) else (shape,)
array = np.array(array, copy=False, subok=subok)
if not shape... | Broadcast any number of arrays against each other. Parameters ---------- `*args` : array_likes The arrays to broadcast. subok : bool, optional If True, then sub-classes will be passed-through, otherwise the returned arrays will be forced to be a base-class array (default). Returns ------- broadcasted : list of arrays T... |
169,122 | import os
import io
from numpy.core.overrides import set_module
The provided code snippet includes necessary dependencies for implementing the `_check_mode` function. Write a Python function `def _check_mode(mode, encoding, newline)` to solve the following problem:
Check mode and that encoding and newline are compatib... | Check mode and that encoding and newline are compatible. Parameters ---------- mode : str File open mode. encoding : str File encoding. newline : str Newline for text files. |
169,123 | import functools
import sys
import math
import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)
from numpy.core.numerictypes import find_common_type, issubdtype
import numpy.matrixlib as matrixlib
from .function_base import diff
... | null |
169,124 | import functools
import sys
import math
import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)
from numpy.core.numerictypes import find_common_type, issubdtype
import numpy.matrixlib as matrixlib
from .function_base import diff
... | Construct an open mesh from multiple sequences. This function takes N 1-D sequences and returns N outputs with N dimensions each, such that the shape is 1 in all but one dimension and the dimension with the non-unit shape value cycles through all N dimensions. Using `ix_` one can quickly construct index arrays that wil... |
169,125 | import functools
import sys
import math
import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)
from numpy.core.numerictypes import find_common_type, issubdtype
import numpy.matrixlib as matrixlib
from .function_base import diff
... | null |
169,126 | import functools
import sys
import math
import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)
from numpy.core.numerictypes import find_common_type, issubdtype
import numpy.matrixlib as matrixlib
from .function_base import diff
... | Fill the main diagonal of the given array of any dimensionality. For an array `a` with ``a.ndim >= 2``, the diagonal is the list of locations with indices ``a[i, ..., i]`` all identical. This function modifies the input array in-place, it does not return a value. Parameters ---------- a : array, at least 2-D. Array who... |
169,127 | import functools
import sys
import math
import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)
from numpy.core.numerictypes import find_common_type, issubdtype
import numpy.matrixlib as matrixlib
from .function_base import diff
... | null |
169,128 | import functools
import sys
import math
import warnings
import numpy.core.numeric as _nx
from numpy.core.numeric import (
asarray, ScalarType, array, alltrue, cumprod, arange, ndim
)
from numpy.core.numerictypes import find_common_type, issubdtype
import numpy.matrixlib as matrixlib
from .function_base import diff
... | Return the indices to access the main diagonal of an n-dimensional array. See `diag_indices` for full details. Parameters ---------- arr : array, at least 2-D See Also -------- diag_indices Notes ----- .. versionadded:: 1.4.0 |
169,174 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Return the legacy print mode as an int. |
169,175 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Context manager for setting print options. Set print options for the scope of the `with` block, and restore the old options at the end. See `set_printoptions` for the full description of available options. Examples -------- >>> from numpy.testing import assert_equal >>> with np.printoptions(precision=2): ... np.array([... |
169,176 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Like the python 3.2 reprlib.recursive_repr, but forwards *args and **kwargs Decorates a function such that if it calls itself with the same first argument, it returns `fillvalue` instead of recursing. Largely copied from reprlib.recursive_repr |
169,177 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | null |
169,178 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Return a string representation of an array. Parameters ---------- a : ndarray Input array. max_line_width : int, optional Inserts newlines if text is longer than `max_line_width`. Defaults to ``numpy.get_printoptions()['linewidth']``. precision : int or None, optional Floating point precision. Defaults to ``numpy.get_p... |
169,179 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Format a floating-point scalar as a decimal string in scientific notation. Provides control over rounding, trimming and padding. Uses and assumes IEEE unbiased rounding. Uses the "Dragon4" algorithm. Parameters ---------- x : python float or numpy floating scalar Value to format. precision : non-negative integer or Non... |
169,180 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Format a floating-point scalar as a decimal string in positional notation. Provides control over rounding, trimming and padding. Uses and assumes IEEE unbiased rounding. Uses the "Dragon4" algorithm. Parameters ---------- x : python float or numpy floating scalar Value to format. precision : non-negative integer or Non... |
169,181 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Implements the repr for structured-void scalars. It is called from the scalartypes.c.src code, and is placed here because it uses the elementwise formatters defined above. |
169,182 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | null |
169,183 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Return the string representation of an array. Parameters ---------- arr : ndarray Input array. max_line_width : int, optional Inserts newlines if text is longer than `max_line_width`. Defaults to ``numpy.get_printoptions()['linewidth']``. precision : int, optional Floating point precision. Defaults to ``numpy.get_print... |
169,184 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | null |
169,185 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Return a string representation of the data in an array. The data in the array is returned as a single string. This function is similar to `array_repr`, the difference being that `array_repr` also returns information on the kind of array and its data type. Parameters ---------- a : ndarray Input array. max_line_width : ... |
169,186 | import functools
import numbers
import sys
import numpy as np
from . import numerictypes as _nt
from .umath import absolute, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
datetime_as_string, datetime_data, ndarray,
... | Set a Python function to be used when pretty printing arrays. Parameters ---------- f : function or None Function to be used to pretty print arrays. The function should expect a single array argument and return a string of the representation of the array. If None, the function is reset to the default NumPy function to ... |
169,187 | import os
import sys
import sysconfig
import pickle
import copy
import warnings
import textwrap
import glob
from os.path import join
from numpy.distutils import log
from numpy.distutils.msvccompiler import lib_opts_if_msvc
from distutils.dep_util import newer
from sysconfig import get_config_var
from numpy.compat impor... | null |
169,188 | from .overrides import (
array_function_dispatch,
set_array_function_like_doc,
set_module,
)
from .multiarray import array, asanyarray
def _require_dispatcher(a, dtype=None, requirements=None, *, like=None):
return (like,) | null |
169,189 | from .overrides import (
array_function_dispatch,
set_array_function_like_doc,
set_module,
)
from .multiarray import array, asanyarray
POSSIBLE_FLAGS = {
'C': 'C', 'C_CONTIGUOUS': 'C', 'CONTIGUOUS': 'C',
'F': 'F', 'F_CONTIGUOUS': 'F', 'FORTRAN': 'F',
'A': 'A', 'ALIGNED': 'A',
'W': 'W', 'WRIT... | Return an ndarray of the provided type that satisfies requirements. This function is useful to be sure that an array with the correct flags is returned for passing to compiled code (perhaps through ctypes). Parameters ---------- a : array_like The object to be converted to a type-and-requirement-satisfying array. dtype... |
169,190 | import os
import genapi
from genapi import \
TypeApi, GlobalVarApi, FunctionApi, BoolValuesApi
import numpy_api
def do_generate_api(targets, sources):
import os
del os
def generate_api(output_dir, force=False):
basename = 'multiarray_api'
h_file = os.path.join(output_dir, '__%s.h' % basename)
c... | null |
169,191 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,192 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (x1 == x2) element-wise. Unlike `numpy.equal`, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters ---------- x1, x2 : array_like of str or unicode Input arrays of the same shape. Returns ... |
169,193 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (x1 != x2) element-wise. Unlike `numpy.not_equal`, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters ---------- x1, x2 : array_like of str or unicode Input arrays of the same shape. Retu... |
169,194 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (x1 >= x2) element-wise. Unlike `numpy.greater_equal`, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters ---------- x1, x2 : array_like of str or unicode Input arrays of the same shape. ... |
169,195 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (x1 <= x2) element-wise. Unlike `numpy.less_equal`, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters ---------- x1, x2 : array_like of str or unicode Input arrays of the same shape. Ret... |
169,196 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (x1 > x2) element-wise. Unlike `numpy.greater`, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters ---------- x1, x2 : array_like of str or unicode Input arrays of the same shape. Returns... |
169,197 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (x1 < x2) element-wise. Unlike `numpy.greater`, this comparison is performed by first stripping whitespace characters from the end of the string. This behavior is provided for backward-compatibility with numarray. Parameters ---------- x1, x2 : array_like of str or unicode Input arrays of the same shape. Returns... |
169,198 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,199 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return len(a) element-wise. Parameters ---------- a : array_like of str or unicode Returns ------- out : ndarray Output array of integers See Also -------- builtins.len Examples -------- >>> a = np.array(['Grace Hopper Conference', 'Open Source Day']) >>> np.char.str_len(a) array([23, 15]) >>> a = np.array([u'\u0420', ... |
169,200 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 o... |
169,201 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,202 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 Examples... |
169,203 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,204 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return (a % i), that is pre-Python 2.6 string formatting (interpolation), 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 ar... |
169,205 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 unico... |
169,206 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,207 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return a copy of `a` with its elements centered in a string of length `width`. Calls `str.center` element-wise. Parameters ---------- a : array_like of str or unicode width : int The length of the resulting strings fillchar : str or unicode, optional The padding character to use (default is space). Returns ------- out ... |
169,208 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,209 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Returns an array with the number of non-overlapping occurrences of substring `sub` in the range [`start`, `end`]. Calls `str.count` element-wise. Parameters ---------- a : array_like of str or unicode sub : str or unicode The substring to search for. start, end : int, optional Optional arguments `start` and `end` are i... |
169,210 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,211 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | r""" Calls ``bytes.decode`` element-wise. The set of available codecs comes from the Python standard library, and may be extended at runtime. For more information, see the :mod:`codecs` module. Parameters ---------- a : array_like of str or unicode encoding : str, optional The name of an encoding errors : str, optional... |
169,212 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 t... |
169,213 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,214 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Returns a boolean array which is `True` where the string element in `a` ends with `suffix`, otherwise `False`. Calls `str.endswith` element-wise. Parameters ---------- a : array_like of str or unicode suffix : str start, end : int, optional With optional `start`, test beginning at that position. With optional `end`, st... |
169,215 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,216 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 ... |
169,217 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element, return the lowest index in the string where substring `sub` is found. Calls `str.find` element-wise. For each element, return the lowest index in the string where substring `sub` is found, such that `sub` is contained in the range [`start`, `end`]. Parameters ---------- a : array_like of str or unicod... |
169,218 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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.f... |
169,219 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 ... |
169,220 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 bo... |
169,221 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 ... |
169,222 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 ... |
169,223 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Returns true for each element if there are only whitespace characters in the string and there is at least one character, false otherwise. Calls `str.isspace` element-wise. For 8-bit strings, this method is locale-dependent. Parameters ---------- a : array_like of str or unicode Returns ------- out : ndarray Output arra... |
169,224 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 Al... |
169,225 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return 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... |
169,226 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,227 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | 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 Ex... |
169,228 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,229 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return an array with the elements of `a` left-justified in a string of length `width`. Calls `str.ljust` element-wise. Parameters ---------- a : array_like of str or unicode width : int The length of the resulting strings fillchar : str or unicode, optional The character to use for padding Returns ------- out : ndarray... |
169,230 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return an array with the elements converted to lowercase. Call `str.lower` element-wise. For 8-bit strings, this method is locale-dependent. Parameters ---------- a : array_like, {str, unicode} Input array. Returns ------- out : ndarray, {str, unicode} Output array of str or unicode, depending on input type See Also --... |
169,231 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a copy with the leading characters removed. Calls `str.lstrip` element-wise. Parameters ---------- a : array-like, {str, unicode} Input array. chars : {str, unicode}, optional The `chars` argument is a string specifying the set of characters to be removed. If omitted or None, the `chars`... |
169,232 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,233 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Partition each element in `a` around `sep`. Calls `str.partition` element-wise. For each element in `a`, split the element as the first occurrence of `sep`, and return 3 strings containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return 3 stri... |
169,234 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,235 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a copy of the string with all occurrences of substring `old` replaced by `new`. Calls `str.replace` element-wise. Parameters ---------- a : array-like of str or unicode old, new : str or unicode count : int, optional If the optional argument `count` is given, only the first `count` occur... |
169,236 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return the highest index in the string where substring `sub` is found, such that `sub` is contained within [`start`, `end`]. Calls `str.rfind` element-wise. Parameters ---------- a : array-like of str or unicode sub : str or unicode start, end : int, optional Optional arguments `start` and `end... |
169,237 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Like `rfind`, but raises `ValueError` when the substring `sub` is not found. Calls `str.rindex` 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. See Also -------- rfind, str.rindex |
169,238 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return an array with the elements of `a` right-justified in a string of length `width`. Calls `str.rjust` element-wise. Parameters ---------- a : array_like of str or unicode width : int The length of the resulting strings fillchar : str or unicode, optional The character to use for padding Returns ------- out : ndarra... |
169,239 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Partition (split) each element around the right-most separator. Calls `str.rpartition` element-wise. For each element in `a`, split the element as the last occurrence of `sep`, and return 3 strings containing the part before the separator, the separator itself, and the part after the separator. If the separator is not ... |
169,240 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,241 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a list of the words in the string, using `sep` as the delimiter string. Calls `str.rsplit` element-wise. Except for splitting from the right, `rsplit` behaves like `split`. Parameters ---------- a : array_like of str or unicode sep : str or unicode, optional If `sep` is not specified or ... |
169,242 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a copy with the trailing characters removed. Calls `str.rstrip` element-wise. Parameters ---------- a : array-like of str or unicode chars : str or unicode, optional The `chars` argument is a string specifying the set of characters to be removed. If omitted or None, the `chars` argument ... |
169,243 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a list of the words in the string, using `sep` as the delimiter string. Calls `str.split` element-wise. Parameters ---------- a : array_like of str or unicode sep : str or unicode, optional If `sep` is not specified or None, any whitespace string is a separator. maxsplit : int, optional ... |
169,244 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,245 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a list of the lines in the element, breaking at line boundaries. Calls `str.splitlines` element-wise. Parameters ---------- a : array_like of str or unicode keepends : bool, optional Line breaks are not included in the resulting list unless keepends is given and true. Returns ------- out... |
169,246 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,247 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Returns a boolean array which is `True` where the string element in `a` starts with `prefix`, otherwise `False`. Calls `str.startswith` element-wise. Parameters ---------- a : array_like of str or unicode prefix : str start, end : int, optional With optional `start`, test beginning at that position. With optional `end`... |
169,248 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a copy with the leading and trailing characters removed. Calls `str.strip` element-wise. Parameters ---------- a : array-like of str or unicode chars : str or unicode, optional The `chars` argument is a string specifying the set of characters to be removed. If omitted or None, the `chars... |
169,249 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return element-wise a copy of the string with uppercase characters converted to lowercase and vice versa. Calls `str.swapcase` element-wise. For 8-bit strings, this method is locale-dependent. Parameters ---------- a : array_like, {str, unicode} Input array. Returns ------- out : ndarray, {str, unicode} Output array of... |
169,250 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return element-wise title cased version of string or unicode. Title case words start with uppercase characters, all remaining cased characters are lowercase. Calls `str.title` element-wise. For 8-bit strings, this method is locale-dependent. Parameters ---------- a : array_like, {str, unicode} Input array. Returns ----... |
169,251 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,252 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element in `a`, return a copy of the string where all characters occurring in the optional argument `deletechars` are removed, and the remaining characters have been mapped through the given translation table. Calls `str.translate` element-wise. Parameters ---------- a : array-like of str or unicode table : st... |
169,253 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return an array with the elements converted to uppercase. Calls `str.upper` element-wise. For 8-bit strings, this method is locale-dependent. Parameters ---------- a : array_like, {str, unicode} Input array. Returns ------- out : ndarray, {str, unicode} Output array of str or unicode, depending on input type See Also -... |
169,254 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | null |
169,255 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | Return the numeric string left-filled with zeros Calls `str.zfill` element-wise. Parameters ---------- a : array_like, {str, unicode} Input array. width : int Width of string to left-fill elements in `a`. Returns ------- out : ndarray, {str, unicode} Output array of str or unicode, depending on input type See Also ----... |
169,256 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element, return True if there are only numeric characters in the element. Calls `unicode.isnumeric` element-wise. Numeric characters include digit characters, and all characters that have the Unicode numeric value property, e.g. ``U+2155, VULGAR FRACTION ONE FIFTH``. Parameters ---------- a : array_like, unico... |
169,257 | import functools
from .numerictypes import (
string_, unicode_, integer, int_, object_, bool_, character)
from .numeric import ndarray, compare_chararrays
from .numeric import array as narray
from numpy.core.multiarray import _vec_string
from numpy.core.overrides import set_module
from numpy.core import overrides
f... | For each element, return True if there are only decimal characters in the element. Calls `unicode.isdecimal` element-wise. Decimal characters include digit characters, and all characters that can be used to form decimal-radix numbers, e.g. ``U+0660, ARABIC-INDIC DIGIT ZERO``. Parameters ---------- a : array_like, unico... |
169,258 | import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
from . import _methods
def _take_dispatcher(a, indices, axis=None, out=None,... | null |
169,259 | import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
from . import _methods
def _reshape_dispatcher(a, newshape, order=None):
... | null |
169,260 | import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
from . import _methods
def _choose_dispatcher(a, choices, out=None, mode=Non... | null |
169,261 | import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
from . import _methods
def _wrapfunc(obj, method, *args, **kwds):
bound =... | Construct an array from an index array and a list of arrays to choose from. First of all, if confused or uncertain, definitely look at the Examples - in its full generality, this function is less simple than it might seem from the following code description (below ndi = `numpy.lib.index_tricks`): ``np.choose(a,c) == np... |
169,262 | import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
from . import _methods
def _repeat_dispatcher(a, repeats, axis=None):
re... | null |
169,263 | import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
from . import _methods
def _put_dispatcher(a, ind, v, mode=None):
return... | null |
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