id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
170,910 | from re import finditer
from xml.sax.saxutils import escape, unescape
The provided code snippet includes necessary dependencies for implementing the `string_span_tokenize` function. Write a Python function `def string_span_tokenize(s, sep)` to solve the following problem:
r""" Return the offsets of the tokens in *s*, ... | r""" Return the offsets of the tokens in *s*, as a sequence of ``(start, end)`` tuples, by splitting the string at each occurrence of *sep*. >>> from nltk.tokenize.util import string_span_tokenize >>> s = '''Good muffins cost $3.88\nin New York. Please buy me ... two of them.\n\nThanks.''' >>> list(string_span_tokenize... |
170,911 | from re import finditer
from xml.sax.saxutils import escape, unescape
def finditer(pattern: AnyStr, string: AnyStr, flags: _FlagsType = ...) -> Iterator[Match[AnyStr]]: ...
def finditer(pattern: Pattern[AnyStr], string: AnyStr, flags: _FlagsType = ...) -> Iterator[Match[AnyStr]]: ...
The provided code snippet include... | r""" Return the offsets of the tokens in *s*, as a sequence of ``(start, end)`` tuples, by splitting the string at each successive match of *regexp*. >>> from nltk.tokenize.util import regexp_span_tokenize >>> s = '''Good muffins cost $3.88\nin New York. Please buy me ... two of them.\n\nThanks.''' >>> list(regexp_span... |
170,912 | from re import finditer
from xml.sax.saxutils import escape, unescape
The provided code snippet includes necessary dependencies for implementing the `spans_to_relative` function. Write a Python function `def spans_to_relative(spans)` to solve the following problem:
r""" Return a sequence of relative spans, given a seq... | r""" Return a sequence of relative spans, given a sequence of spans. >>> from nltk.tokenize import WhitespaceTokenizer >>> from nltk.tokenize.util import spans_to_relative >>> s = '''Good muffins cost $3.88\nin New York. Please buy me ... two of them.\n\nThanks.''' >>> list(spans_to_relative(WhitespaceTokenizer().span_... |
170,913 | from re import finditer
from xml.sax.saxutils import escape, unescape
The provided code snippet includes necessary dependencies for implementing the `is_cjk` function. Write a Python function `def is_cjk(character)` to solve the following problem:
Python port of Moses' code to check for CJK character. >>> CJKChars().r... | Python port of Moses' code to check for CJK character. >>> CJKChars().ranges [(4352, 4607), (11904, 42191), (43072, 43135), (44032, 55215), (63744, 64255), (65072, 65103), (65381, 65500), (131072, 196607)] >>> is_cjk(u'\u33fe') True >>> is_cjk(u'\uFE5F') False :param character: The character that needs to be checked. :... |
170,914 | from re import finditer
from xml.sax.saxutils import escape, unescape
The provided code snippet includes necessary dependencies for implementing the `xml_escape` function. Write a Python function `def xml_escape(text)` to solve the following problem:
This function transforms the input text into an "escaped" version su... | This function transforms the input text into an "escaped" version suitable for well-formed XML formatting. Note that the default xml.sax.saxutils.escape() function don't escape some characters that Moses does so we have to manually add them to the entities dictionary. >>> input_str = ''')| & < > ' " ] [''' >>> expected... |
170,915 | from re import finditer
from xml.sax.saxutils import escape, unescape
The provided code snippet includes necessary dependencies for implementing the `xml_unescape` function. Write a Python function `def xml_unescape(text)` to solve the following problem:
This function transforms the "escaped" version suitable for well... | This function transforms the "escaped" version suitable for well-formed XML formatting into humanly-readable string. Note that the default xml.sax.saxutils.unescape() function don't unescape some characters that Moses does so we have to manually add them to the entities dictionary. >>> from xml.sax.saxutils import unes... |
170,916 | from re import finditer
from xml.sax.saxutils import escape, unescape
The provided code snippet includes necessary dependencies for implementing the `align_tokens` function. Write a Python function `def align_tokens(tokens, sentence)` to solve the following problem:
This module attempt to find the offsets of the token... | This module attempt to find the offsets of the tokens in *s*, as a sequence of ``(start, end)`` tuples, given the tokens and also the source string. >>> from nltk.tokenize import TreebankWordTokenizer >>> from nltk.tokenize.util import align_tokens >>> s = str("The plane, bound for St Petersburg, crashed in Egypt's " .... |
170,917 | from nltk.tokenize.api import StringTokenizer, TokenizerI
from nltk.tokenize.util import regexp_span_tokenize, string_span_tokenize
class LineTokenizer(TokenizerI):
r"""Tokenize a string into its lines, optionally discarding blank lines.
This is similar to ``s.split('\n')``.
>>> from nltk.tokenize impor... | null |
170,918 | import math
import re
import string
from collections import defaultdict
from typing import Any, Dict, Iterator, List, Match, Optional, Tuple, Union
from nltk.probability import FreqDist
from nltk.tokenize.api import TokenizerI
The provided code snippet includes necessary dependencies for implementing the `_pair_iter` ... | Yields pairs of tokens from the given iterator such that each input token will appear as the first element in a yielded tuple. The last pair will have None as its second element. |
170,919 | import math
import re
import string
from collections import defaultdict
from typing import Any, Dict, Iterator, List, Match, Optional, Tuple, Union
from nltk.probability import FreqDist
from nltk.tokenize.api import TokenizerI
DEBUG_DECISION_FMT = """Text: {text!r} (at offset {period_index})
Sentence break? {break_deci... | null |
170,920 | import math
import re
import string
from collections import defaultdict
from typing import Any, Dict, Iterator, List, Match, Optional, Tuple, Union
from nltk.probability import FreqDist
from nltk.tokenize.api import TokenizerI
class PunktTrainer(PunktBaseClass):
"""Learns parameters used in Punkt sentence boundary ... | Builds a punkt model and applies it to the same text |
170,921 | import math
import re
try:
import numpy
except ImportError:
pass
from nltk.tokenize.api import TokenizerI
The provided code snippet includes necessary dependencies for implementing the `smooth` function. Write a Python function `def smooth(x, window_len=11, window="flat")` to solve the following problem:
smoot... | smooth the data using a window with requested size. This method is based on the convolution of a scaled window with the signal. The signal is prepared by introducing reflected copies of the signal (with the window size) in both ends so that transient parts are minimized in the beginning and end part of the output signa... |
170,922 | import math
import re
from nltk.tokenize.api import TokenizerI
class TextTilingTokenizer(TokenizerI):
"""Tokenize a document into topical sections using the TextTiling algorithm.
This algorithm detects subtopic shifts based on the analysis of lexical
co-occurrence patterns.
The process starts by tokeniz... | null |
170,923 | import re
from nltk.tokenize.api import TokenizerI
from nltk.tokenize.util import regexp_span_tokenize
class RegexpTokenizer(TokenizerI):
r"""
A tokenizer that splits a string using a regular expression, which
matches either the tokens or the separators between tokens.
>>> tokenizer = RegexpTokenize... | Return a tokenized copy of *text*. See :class:`.RegexpTokenizer` for descriptions of the arguments. |
170,924 | import functools
import itertools
import os
import shutil
import subprocess
import sys
import textwrap
import threading
import time
import warnings
import zipfile
from hashlib import md5
from xml.etree import ElementTree
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
import nltk
class E... | Extract the contents of the zip file ``filename`` into the directory ``root``. |
170,925 | import functools
import itertools
import os
import shutil
import subprocess
import sys
import textwrap
import threading
import time
import warnings
import zipfile
from hashlib import md5
from xml.etree import ElementTree
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
import nltk
def md5... | Create a new data.xml index file, by combining the xml description files for various packages and collections. ``root`` should be the path to a directory containing the package xml and zip files; and the collection xml files. The ``root`` directory is expected to have the following subdirectories:: root/ packages/ ....... |
170,926 | import functools
import itertools
import os
import shutil
import subprocess
import sys
import textwrap
import threading
import time
import warnings
import zipfile
from hashlib import md5
from xml.etree import ElementTree
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
import nltk
The pr... | Helper for ``build_index()``: Perform some checks to make sure that the given package is consistent. |
170,927 | import functools
import itertools
import os
import shutil
import subprocess
import sys
import textwrap
import threading
import time
import warnings
import zipfile
from hashlib import md5
from xml.etree import ElementTree
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
import nltk
The pr... | Helper for ``build_index()``: Calculate the subversion revision number for a given file (by using ``subprocess`` to run ``svn``). |
170,928 | import functools
import itertools
import os
import shutil
import subprocess
import sys
import textwrap
import threading
import time
import warnings
import zipfile
from hashlib import md5
from xml.etree import ElementTree
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
import nltk
class D... | null |
170,929 | import functools
import itertools
import os
import shutil
import subprocess
import sys
import textwrap
import threading
import time
import warnings
import zipfile
from hashlib import md5
from xml.etree import ElementTree
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
import nltk
class D... | null |
170,930 | import logging
import numpy as np
from matplotlib import _api, artist as martist
import matplotlib.transforms as mtransforms
import matplotlib._layoutgrid as mlayoutgrid
def make_layoutgrids(fig, layoutgrids, rect=(0, 0, 1, 1)):
"""
Make the layoutgrid tree.
(Sub)Figures get a layoutgrid so we can have figu... | Do the constrained_layout. Called at draw time in ``figure.constrained_layout()`` Parameters ---------- fig : Figure ``Figure`` instance to do the layout in. renderer : Renderer Renderer to use. h_pad, w_pad : float Padding around the axes elements in figure-normalized units. hspace, wspace : float Fraction of the figu... |
170,931 | from matplotlib._tight_layout import * from matplotlib import _api
def get_renderer(fig):
canvas = fig.canvas
if canvas and hasattr(canvas, "get_renderer"):
return canvas.get_renderer()
else:
from . import backend_bases
return backend_bases._get_renderer(fig) | null |
170,932 | import functools
from numbers import Integral
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, _docstring
from matplotlib.backend_bases import MouseButton
from matplotlib.text import Text
import matplotlib.path as mpath
import matplotlib.ticker as ticker
import matplotlib.cm... | null |
170,933 | import functools
from numbers import Integral
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, _docstring
from matplotlib.backend_bases import MouseButton
from matplotlib.text import Text
import matplotlib.path as mpath
import matplotlib.ticker as ticker
import matplotlib.cm... | Return whether first and last object in a sequence are the same. These are presumably coordinates on a polygonal curve, in which case this function tests if that curve is closed. |
170,934 | import functools
from numbers import Integral
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, _docstring
from matplotlib.backend_bases import MouseButton
from matplotlib.text import Text
import matplotlib.path as mpath
import matplotlib.ticker as ticker
import matplotlib.cm... | Parameters ---------- xys : (N, 2) array-like Coordinates of vertices. p : (float, float) Coordinates of point. Returns ------- d2min : float Minimum square distance of *p* to *xys*. proj : (float, float) Projection of *p* onto *xys*. imin : (int, int) Consecutive indices of vertices of segment in *xys* where *proj* is... |
170,935 | import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api, _docstring
import matplotlib.artist as martist
import matplotlib.path as mpath
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
from matplotlib.font_manager import FontProperties
from matplotlib.image im... | Decorator for the get_offset method of OffsetBox and subclasses, that allows supporting both the new signature (self, bbox, renderer) and the old signature (self, width, height, xdescent, ydescent, renderer). |
170,936 | import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api, _docstring
import matplotlib.artist as martist
import matplotlib.path as mpath
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
from matplotlib.font_manager import FontProperties
from matplotlib.image im... | null |
170,937 | import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api, _docstring
import matplotlib.artist as martist
import matplotlib.path as mpath
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
from matplotlib.font_manager import FontProperties
from matplotlib.image im... | null |
170,938 | import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api, _docstring
import matplotlib.artist as martist
import matplotlib.path as mpath
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
from matplotlib.font_manager import FontProperties
from matplotlib.image im... | r""" Pack boxes specified by their *widths*. For simplicity of the description, the terminology used here assumes a horizontal layout, but the function works equally for a vertical layout. There are three packing *mode*\s: - 'fixed': The elements are packed tight to the left with a spacing of *sep* in between. If *tota... |
170,939 | import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api, _docstring
import matplotlib.artist as martist
import matplotlib.path as mpath
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
from matplotlib.font_manager import FontProperties
from matplotlib.image im... | Align boxes each specified by their ``(y0, y1)`` spans. For simplicity of the description, the terminology used here assumes a horizontal layout (i.e., vertical alignment), but the function works equally for a vertical layout. Parameters ---------- yspans List of (y0, y1) spans of boxes to be aligned. height : float or... |
170,940 | import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api, _docstring
import matplotlib.artist as martist
import matplotlib.path as mpath
import matplotlib.text as mtext
import matplotlib.transforms as mtransforms
from matplotlib.font_manager import FontProperties
from matplotlib.image im... | Return the (x, y) position of the *bbox* anchored at the *parentbbox* with the *loc* code with the *borderpad*. |
170,941 | import math
import types
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
from matplotlib.axes import Axes
import matplotlib.axis as maxis
import matplotlib.markers as mmarkers
import matplotlib.patches as mpatches
from matplotlib.path import Path
import matplotlib.ticker as mticker
import... | Determine if a wedge (in degrees) spans the full circle. The condition is derived from :class:`~matplotlib.patches.Wedge`. |
170,942 | import math
import types
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
from matplotlib.axes import Axes
import matplotlib.axis as maxis
import matplotlib.markers as mmarkers
import matplotlib.patches as mpatches
from matplotlib.path import Path
import matplotlib.ticker as mticker
import... | Determine if a wedge (in radians) spans the full circle. The condition is derived from :class:`~matplotlib.patches.Wedge`. |
170,943 | from collections import namedtuple
import logging
import re
from ._mathtext_data import uni2type1
_log = logging.getLogger(__name__)
def _to_int(x):
# Some AFM files have floats where we are expecting ints -- there is
# probably a better way to handle this (support floats, round rather than
# truncate). Bu... | Read the font metrics header (up to the char metrics) and returns a dictionary mapping *key* to *val*. *val* will be converted to the appropriate python type as necessary; e.g.: * 'False'->False * '0'->0 * '-168 -218 1000 898'-> [-168, -218, 1000, 898] Dictionary keys are StartFontMetrics, FontName, FullName, FamilyNam... |
170,944 | from collections import namedtuple
import logging
import re
from ._mathtext_data import uni2type1
def _to_int(x):
# Some AFM files have floats where we are expecting ints -- there is
# probably a better way to handle this (support floats, round rather than
# truncate). But I don't know what the best approa... | Parse the given filehandle for character metrics information and return the information as dicts. It is assumed that the file cursor is on the line behind 'StartCharMetrics'. Returns ------- ascii_d : dict A mapping "ASCII num of the character" to `.CharMetrics`. name_d : dict A mapping "character name" to `.CharMetric... |
170,945 | from collections import namedtuple
import logging
import re
from ._mathtext_data import uni2type1
def _parse_kern_pairs(fh):
"""
Return a kern pairs dictionary; keys are (*char1*, *char2*) tuples and
values are the kern pair value. For example, a kern pairs line like
``KPX A y -50``
will be represe... | Parse the optional fields for kern pair data and composites. Returns ------- kern_data : dict A dict containing kerning information. May be empty. See `._parse_kern_pairs`. composites : dict A dict containing composite information. May be empty. See `._parse_composites`. |
170,946 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
The provided code snippet includes necessar... | Generate a ``__str__`` method for a `.Transform` subclass. After :: class T: __str__ = _make_str_method("attr", key="other") ``str(T(...))`` will be .. code-block:: text {type(T).__name__}( {self.attr}, key={self.other}) |
170,947 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
class Affine2DBase(AffineBase):
"""
... | Create a new "blended" transform using *x_transform* to transform the *x*-axis and *y_transform* to transform the *y*-axis. A faster version of the blended transform is returned for the case where both child transforms are affine. |
170,948 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
class Affine2D(Affine2DBase):
"""
A ... | Create a new composite transform that is the result of applying transform a then transform b. Shortcut versions of the blended transform are provided for the case where both child transforms are affine, or one or the other is the identity transform. Composite transforms may also be created using the '+' operator, e.g.:... |
170,949 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
The provided code snippet includes necessar... | Modify the endpoints of a range as needed to avoid singularities. Parameters ---------- vmin, vmax : float The initial endpoints. expander : float, default: 0.001 Fractional amount by which *vmin* and *vmax* are expanded if the original interval is too small, based on *tiny*. tiny : float, default: 1e-15 Threshold for ... |
170,950 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
The provided code snippet includes necessar... | Check, inclusively, whether an interval includes a given value. Parameters ---------- interval : (float, float) The endpoints of the interval. val : float Value to check is within interval. Returns ------- bool Whether *val* is within the *interval*. |
170,951 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
The provided code snippet includes necessar... | Check, inclusively, whether an interval includes a given value, with the interval expanded by a small tolerance to admit floating point errors. Parameters ---------- interval : (float, float) The endpoints of the interval. val : float Value to check is within interval. rtol : float, default: 1e-10 Relative tolerance sl... |
170,952 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
The provided code snippet includes necessar... | Check, excluding endpoints, whether an interval includes a given value. Parameters ---------- interval : (float, float) The endpoints of the interval. val : float Value to check is within interval. Returns ------- bool Whether *val* is within the *interval*. |
170,953 | import copy
import functools
import textwrap
import weakref
import math
import numpy as np
from numpy.linalg import inv
from matplotlib import _api
from matplotlib._path import (
affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
from .path import Path
class Affine2D(Affine2DBase):
"""
A ... | Return a new transform with an added offset. Parameters ---------- trans : `Transform` subclass Any transform, to which offset will be applied. fig : `~matplotlib.figure.Figure`, default: None Current figure. It can be None if *units* are 'dots'. x, y : float, default: 0.0 The offset to apply. units : {'inches', 'point... |
170,954 | import copy
from numbers import Integral, Number, Real
import logging
import numpy as np
import matplotlib as mpl
from . import _api, cbook, colors as mcolors, _docstring
from .artist import Artist, allow_rasterization
from .cbook import (
_to_unmasked_float_array, ls_mapper, ls_mapper_r, STEP_LOOKUP_MAP)
from .mar... | Convert linestyle to dash pattern. |
170,955 | import copy
from numbers import Integral, Number, Real
import logging
import numpy as np
import matplotlib as mpl
from . import _api, cbook, colors as mcolors, _docstring
from .artist import Artist, allow_rasterization
from .cbook import (
_to_unmasked_float_array, ls_mapper, ls_mapper_r, STEP_LOOKUP_MAP)
from .mar... | null |
170,956 | import copy
from numbers import Integral, Number, Real
import logging
import numpy as np
import matplotlib as mpl
from . import _api, cbook, colors as mcolors, _docstring
from .artist import Artist, allow_rasterization
from .cbook import (
_to_unmasked_float_array, ls_mapper, ls_mapper_r, STEP_LOOKUP_MAP)
from .mar... | Return the indices of the segments in the polyline with coordinates (*cx*, *cy*) that are within a distance *radius* of the point (*x*, *y*). |
170,957 | import copy
from numbers import Integral, Number, Real
import logging
import numpy as np
import matplotlib as mpl
from . import _api, cbook, colors as mcolors, _docstring
from .artist import Artist, allow_rasterization
from .cbook import (
_to_unmasked_float_array, ls_mapper, ls_mapper_r, STEP_LOOKUP_MAP)
from .mar... | Helper function that sorts out how to deal the input `markevery` and returns the points where markers should be drawn. Takes in the `markevery` value and the line path and returns the sub-sampled path. |
170,958 | import numpy as np
from matplotlib import _api
from matplotlib.path import Path
def _validate_hatch_pattern(hatch):
valid_hatch_patterns = set(r'-+|/\xXoO.*')
if hatch is not None:
invalids = set(hatch).difference(valid_hatch_patterns)
if invalids:
valid = ''.join(sorted(valid_hatch... | null |
170,959 | import numpy as np
from matplotlib import _api
from matplotlib.path import Path
_hatch_types = [
HorizontalHatch,
VerticalHatch,
NorthEastHatch,
SouthEastHatch,
SmallCircles,
LargeCircles,
SmallFilledCircles,
Stars
]
class Path:
"""
A series of possibly disconnected, possibl... | Given a hatch specifier, *hatchpattern*, generates Path to render the hatch in a unit square. *density* is the number of lines per unit square. |
170,960 | import binascii
import functools
import logging
import re
import string
import struct
import numpy as np
from matplotlib.cbook import _format_approx
from . import _api
class _NameToken(_Token):
kind = 'name'
def is_slash_name(self):
return self.raw.startswith('/')
def value(self):
return sel... | A generator that produces _Token instances from Type-1 font code. The consumer of the generator may send an integer to the tokenizer to indicate that the next token should be _BinaryToken of the given length. Parameters ---------- data : bytes The data of the font to tokenize. skip_ws : bool If true, the generator will... |
170,961 | import binascii
import functools
import logging
import re
import string
import struct
import numpy as np
from matplotlib.cbook import _format_approx
from . import _api
class _BalancedExpression(_Token):
pass
The provided code snippet includes necessary dependencies for implementing the `_expression` function. Writ... | Consume some number of tokens and return a balanced PostScript expression. Parameters ---------- initial : _Token The token that triggered parsing a balanced expression. tokens : iterator of _Token Following tokens. data : bytes Underlying data that the token positions point to. Returns ------- _BalancedExpression |
170,962 |
The provided code snippet includes necessary dependencies for implementing the `blocking_input_loop` function. Write a Python function `def blocking_input_loop(figure, event_names, timeout, handler)` to solve the following problem:
Run *figure*'s event loop while listening to interactive events. The events listed in ... | Run *figure*'s event loop while listening to interactive events. The events listed in *event_names* are passed to *handler*. This function is used to implement `.Figure.waitforbuttonpress`, `.Figure.ginput`, and `.Axes.clabel`. Parameters ---------- figure : `~matplotlib.figure.Figure` event_names : list of str The nam... |
170,963 | from matplotlib.transforms import Bbox, TransformedBbox, Affine2D
def adjust_bbox(fig, bbox_inches, fixed_dpi=None):
"""
Temporarily adjust the figure so that only the specified area
(bbox_inches) is saved.
It modifies fig.bbox, fig.bbox_inches,
fig.transFigure._boxout, and fig.patch. While the fig... | A function that needs to be called when figure dpi changes during the drawing (e.g., rasterizing). It recovers the bbox and re-adjust it with the new dpi. |
170,964 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | Import and return ``pyplot``, correctly setting the backend if one is already forced. |
170,965 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | Register a backend for saving to a given file format. Parameters ---------- format : str File extension backend : module string or canvas class Backend for handling file output description : str, default: "" Description of the file type. |
170,966 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | Return the registered default canvas for given file format. Handles deferred import of required backend. |
170,967 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | null |
170,968 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | null |
170,969 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | null |
170,970 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | Return whether we are in a terminal IPython, but non interactive. When in _terminal_ IPython, ip.parent will have and `interact` attribute, if this attribute is False we do not setup eventloop integration as the user will _not_ interact with IPython. In all other case (ZMQKernel, or is interactive), we do. |
170,971 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | Implement the default Matplotlib key bindings for the canvas and toolbar described at :ref:`key-event-handling`. Parameters ---------- event : `KeyEvent` A key press/release event. canvas : `FigureCanvasBase`, default: ``event.canvas`` The backend-specific canvas instance. This parameter is kept for back-compatibility,... |
170,972 | from collections import namedtuple
from contextlib import ExitStack, contextmanager, nullcontext
from enum import Enum, IntEnum
import functools
import importlib
import inspect
import io
import itertools
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matp... | The default Matplotlib button actions for extra mouse buttons. Parameters are as for `key_press_handler`, except that *event* is a `MouseEvent`. |
170,973 | from collections import namedtuple
import contextlib
from functools import lru_cache, wraps
import inspect
from inspect import Signature, Parameter
import logging
from numbers import Number
import re
import warnings
import numpy as np
import matplotlib as mpl
from . import _api, cbook
from .colors import BoundaryNorm
f... | null |
170,974 | from collections import namedtuple
import contextlib
from functools import lru_cache, wraps
import inspect
from inspect import Signature, Parameter
import logging
from numbers import Number
import re
import warnings
import numpy as np
import matplotlib as mpl
from . import _api, cbook
from .colors import BoundaryNorm
f... | Decorator for Artist.draw method. Needed on the outermost artist, i.e. Figure, to finish up if the render is still in rasterized mode. |
170,975 | from collections import namedtuple
import contextlib
from functools import lru_cache, wraps
import inspect
from inspect import Signature, Parameter
import logging
from numbers import Number
import re
import warnings
import numpy as np
import matplotlib as mpl
from . import _api, cbook
from .colors import BoundaryNorm
f... | null |
170,976 | from collections import namedtuple
import contextlib
from functools import lru_cache, wraps
import inspect
from inspect import Signature, Parameter
import logging
from numbers import Number
import re
import warnings
import numpy as np
import matplotlib as mpl
from . import _api, cbook
from .colors import BoundaryNorm
f... | Return the value of an `.Artist`'s *property*, or print all of them. Parameters ---------- obj : `.Artist` The queried artist; e.g., a `.Line2D`, a `.Text`, or an `~.axes.Axes`. property : str or None, default: None If *property* is 'somename', this function returns ``obj.get_somename()``. If it's None (or unset), it *... |
170,977 | from collections import namedtuple
import contextlib
from functools import lru_cache, wraps
import inspect
from inspect import Signature, Parameter
import logging
from numbers import Number
import re
import warnings
import numpy as np
import matplotlib as mpl
from . import _api, cbook
from .colors import BoundaryNorm
f... | r""" Inspect an `~matplotlib.artist.Artist` class (using `.ArtistInspector`) and return information about its settable properties and their current values. Parameters ---------- artist : `~matplotlib.artist.Artist` or an iterable of `Artist`\s Returns ------- str The settable properties of *artist*, as plain text if :r... |
170,978 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Reset the Matplotlib date epoch so it can be set again. Only for use in tests and examples. |
170,979 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Set the epoch (origin for dates) for datetime calculations. The default epoch is :rc:`dates.epoch` (by default 1970-01-01T00:00). If microsecond accuracy is desired, the date being plotted needs to be within approximately 70 years of the epoch. Matplotlib internally represents dates as days since the epoch, so floating... |
170,980 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Convert Gregorian float of the date, preserving hours, minutes, seconds and microseconds. Return value is a `.datetime`. The input date *x* is a float in ordinal days at UTC, and the output will be the specified `.datetime` object corresponding to that time in timezone *tz*, or if *tz* is ``None``, in the timezone spec... |
170,981 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Convert a date string to a datenum using `dateutil.parser.parse`. Parameters ---------- d : str or sequence of str The dates to convert. default : datetime.datetime, optional The default date to use when fields are missing in *d*. |
170,982 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Convert a Julian date (or sequence) to a Matplotlib date (or sequence). Parameters ---------- j : float or sequence of floats Julian dates (days relative to 4713 BC Jan 1, 12:00:00 Julian calendar or 4714 BC Nov 24, 12:00:00, proleptic Gregorian calendar). Returns ------- float or sequence of floats Matplotlib dates (d... |
170,983 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Convert a Matplotlib date (or sequence) to a Julian date (or sequence). Parameters ---------- n : float or sequence of floats Matplotlib dates (days relative to `.get_epoch`). Returns ------- float or sequence of floats Julian dates (days relative to 4713 BC Jan 1, 12:00:00). |
170,984 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Convert number of days to a `~datetime.timedelta` object. If *x* is a sequence, a sequence of `~datetime.timedelta` objects will be returned. Parameters ---------- x : float, sequence of floats Number of days. The fraction part represents hours, minutes, seconds. Returns ------- `datetime.timedelta` or list[`datetime.t... |
170,985 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Return a sequence of equally spaced Matplotlib dates. The dates start at *dstart* and reach up to, but not including *dend*. They are spaced by *delta*. Parameters ---------- dstart, dend : `~datetime.datetime` The date limits. delta : `datetime.timedelta` Spacing of the dates. Returns ------- `numpy.array` A list floa... |
170,986 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | null |
170,987 | import datetime
import functools
import logging
import math
import re
from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
SECONDLY)
from dateutil.relativedelta import relativedelta
import dateutil.parser... | Create a date locator with *numticks* (approx) and a date formatter for *span* in days. Return value is (locator, formatter). |
170,988 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,989 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,990 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,991 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | Confirm s is string 'figure' or convert s to float or raise. |
170,992 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | Return a validator that converts inputs to *cls* or raises (and possibly allows ``None`` as well). |
170,993 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,994 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | Confirm that this is a Postscript or PDF font type that we know how to convert to. |
170,995 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,996 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,997 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | Return a valid color arg. |
170,998 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
170,999 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,000 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,001 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,002 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,003 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,004 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,005 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,006 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,007 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,008 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
171,009 | import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig... | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.