id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
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171,010 | 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... | A validator for all possible line styles, the named ones *and* the on-off ink sequences. |
171,011 | 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... | Validate the markevery property of a Line2D object. Parameters ---------- s : None, int, (int, int), slice, float, (float, float), or list[int] Returns ------- None, int, (int, int), slice, float, (float, float), or list[int] |
171,012 | 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 |
171,013 | 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 |
171,014 | 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 |
171,015 | 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 |
171,016 | 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... | r""" Validate a hatch pattern. A hatch pattern string can have any sequence of the following characters: ``\ / | - + * . x o O``. |
171,017 | 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 |
171,018 | 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 |
171,019 | from base64 import b64encode
import copy
import dataclasses
from functools import lru_cache
from io import BytesIO
import json
import logging
from numbers import Number
import os
from pathlib import Path
import re
import subprocess
import sys
import threading
import matplotlib as mpl
from matplotlib import _api, _afm, ... | Search for fonts in the specified font paths. If no paths are given, will use a standard set of system paths, as well as the list of fonts tracked by fontconfig if fontconfig is installed and available. A list of TrueType fonts are returned by default with AFM fonts as an option. |
171,020 | from base64 import b64encode
import copy
import dataclasses
from functools import lru_cache
from io import BytesIO
import json
import logging
from numbers import Number
import os
from pathlib import Path
import re
import subprocess
import sys
import threading
import matplotlib as mpl
from matplotlib import _api, _afm, ... | null |
171,021 | from base64 import b64encode
import copy
import dataclasses
from functools import lru_cache
from io import BytesIO
import json
import logging
from numbers import Number
import os
from pathlib import Path
import re
import subprocess
import sys
import threading
import matplotlib as mpl
from matplotlib import _api, _afm, ... | Extract information from a TrueType font file. Parameters ---------- font : `.FT2Font` The TrueType font file from which information will be extracted. Returns ------- `FontEntry` The extracted font properties. |
171,022 | from base64 import b64encode
import copy
import dataclasses
from functools import lru_cache
from io import BytesIO
import json
import logging
from numbers import Number
import os
from pathlib import Path
import re
import subprocess
import sys
import threading
import matplotlib as mpl
from matplotlib import _api, _afm, ... | Extract information from an AFM font file. Parameters ---------- font : AFM The AFM font file from which information will be extracted. Returns ------- `FontEntry` The extracted font properties. |
171,023 | from base64 import b64encode
import copy
import dataclasses
from functools import lru_cache
from io import BytesIO
import json
import logging
from numbers import Number
import os
from pathlib import Path
import re
import subprocess
import sys
import threading
import matplotlib as mpl
from matplotlib import _api, _afm, ... | Return whether the given font is a Postscript Compact Font Format Font embedded in an OpenType wrapper. Used by the PostScript and PDF backends that can not subset these fonts. |
171,024 | from base64 import b64encode
import copy
import dataclasses
from functools import lru_cache
from io import BytesIO
import json
import logging
from numbers import Number
import os
from pathlib import Path
import re
import subprocess
import sys
import threading
import matplotlib as mpl
from matplotlib import _api, _afm, ... | null |
171,025 | import datetime
import functools
import logging
from numbers import Number
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
import matplotlib.artist as martist
import matplotlib.colors as mcolors
import matplotlib.lines as mlines
import matplotlib.scale as mscale
import matplotlib.text as ... | Helper to generate ``get_{data,view}_interval`` and ``set_{data,view}_interval`` implementations. |
171,026 | from . import _api, _docstring
from .artist import Artist, allow_rasterization
from .patches import Rectangle
from .text import Text
from .transforms import Bbox
from .path import Path
class Table(Artist):
"""
A table of cells.
The table consists of a grid of cells, which are indexed by (row, column).
F... | Add a table to an `~.axes.Axes`. At least one of *cellText* or *cellColours* must be specified. These parameters must be 2D lists, in which the outer lists define the rows and the inner list define the column values per row. Each row must have the same number of elements. The table can optionally have row and column he... |
171,027 | import functools
import inspect
import math
from numbers import Number
import textwrap
from types import SimpleNamespace
from collections import namedtuple
from matplotlib.transforms import Affine2D
import numpy as np
import matplotlib as mpl
from . import (_api, artist, cbook, colors, _docstring, hatch as mhatch,
... | A debug function to draw a rectangle around the bounding box returned by an artist's `.Artist.get_window_extent` to test whether the artist is returning the correct bbox. *props* is a dict of rectangle props with the additional property 'pad' that sets the padding around the bbox in points. |
171,028 | import functools
import inspect
import math
from numbers import Number
import textwrap
from types import SimpleNamespace
from collections import namedtuple
from matplotlib.transforms import Affine2D
import numpy as np
import matplotlib as mpl
from . import (_api, artist, cbook, colors, _docstring, hatch as mhatch,
... | A debug function to draw a rectangle around the bounding box returned by an artist's `.Artist.get_window_extent` to test whether the artist is returning the correct bbox. |
171,029 | import functools
import inspect
import math
from numbers import Number
import textwrap
from types import SimpleNamespace
from collections import namedtuple
from matplotlib.transforms import Affine2D
import numpy as np
import matplotlib as mpl
from . import (_api, artist, cbook, colors, _docstring, hatch as mhatch,
... | Class decorator that stashes a class in a (style) dictionary. |
171,030 | import functools
import inspect
import math
from numbers import Number
import textwrap
from types import SimpleNamespace
from collections import namedtuple
from matplotlib.transforms import Affine2D
import numpy as np
import matplotlib as mpl
from . import (_api, artist, cbook, colors, _docstring, hatch as mhatch,
... | Return the point on the line connecting (*x0*, *y0*) -- (*x1*, *y1*) whose distance from (*x0*, *y0*) is *d*. |
171,031 | import copy
from functools import lru_cache
from weakref import WeakValueDictionary
import numpy as np
import matplotlib as mpl
from . import _api, _path
from .cbook import _to_unmasked_float_array, simple_linear_interpolation
from .bezier import BezierSegment
class Bbox(BboxBase):
"""
A mutable bounding box.
... | r""" Given a sequence of `Path`\s, `.Transform`\s objects, and offsets, as found in a `.PathCollection`, returns the bounding box that encapsulates all of them. Parameters ---------- master_transform : `.Transform` Global transformation applied to all paths. paths : list of `Path` transforms : list of `.Affine2D` offse... |
171,032 | import math
import os
import logging
from pathlib import Path
import warnings
import numpy as np
import PIL.PngImagePlugin
import matplotlib as mpl
from matplotlib import _api, cbook, cm
from matplotlib import _image
from matplotlib._image import *
import matplotlib.artist as martist
from matplotlib.backend_bases impor... | Draw a sorted list of artists, compositing images into a single image where possible. For internal Matplotlib use only: It is here to reduce duplication between `Figure.draw` and `Axes.draw`, but otherwise should not be generally useful. |
171,033 | import math
import os
import logging
from pathlib import Path
import warnings
import numpy as np
import PIL.PngImagePlugin
import matplotlib as mpl
from matplotlib import _api, cbook, cm
from matplotlib import _image
from matplotlib._image import *
import matplotlib.artist as martist
from matplotlib.backend_bases impor... | Convenience wrapper around `._image.resample` to resample *data* to *out_shape* (with a third dimension if *data* is RGBA) that takes care of allocating the output array and fetching the relevant properties from the Image object *image_obj*. |
171,034 | import math
import os
import logging
from pathlib import Path
import warnings
import numpy as np
import PIL.PngImagePlugin
import matplotlib as mpl
from matplotlib import _api, cbook, cm
from matplotlib import _image
from matplotlib._image import *
import matplotlib.artist as martist
from matplotlib.backend_bases impor... | Convert an RGB image to RGBA, as required by the image resample C++ extension. |
171,035 | import math
import os
import logging
from pathlib import Path
import warnings
import numpy as np
import PIL.PngImagePlugin
import matplotlib as mpl
from matplotlib import _api, cbook, cm
from matplotlib import _image
from matplotlib._image import *
import matplotlib.artist as martist
from matplotlib.backend_bases impor... | Colormap and save an array as an image file. RGB(A) images are passed through. Single channel images will be colormapped according to *cmap* and *norm*. .. note:: If you want to save a single channel image as gray scale please use an image I/O library (such as pillow, tifffile, or imageio) directly. Parameters --------... |
171,036 | import math
import os
import logging
from pathlib import Path
import warnings
import numpy as np
import PIL.PngImagePlugin
import matplotlib as mpl
from matplotlib import _api, cbook, cm
from matplotlib import _image
from matplotlib._image import *
import matplotlib.artist as martist
from matplotlib.backend_bases impor... | Make a thumbnail of image in *infile* with output filename *thumbfile*. See :doc:`/gallery/misc/image_thumbnail_sgskip`. Parameters ---------- infile : str or file-like The image file. Matplotlib relies on Pillow_ for image reading, and thus supports a wide range of file formats, including PNG, JPG, TIFF and others. ..... |
171,037 | import itertools
import logging
import locale
import math
from numbers import Integral
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
from matplotlib import transforms as mtransforms
def scale_range(vmin, vmax, n=1, threshold=100):
dv = abs(vmax - vmin) # > 0 as nonsingular is call... | null |
171,038 | import itertools
import logging
import locale
import math
from numbers import Integral
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
from matplotlib import transforms as mtransforms
def is_close_to_int(x, *, atol=1e-10):
return abs(x - np.round(x)) < atol
def is_decade(x, base=10, ... | null |
171,039 | import itertools
import logging
import locale
import math
from numbers import Integral
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
from matplotlib import transforms as mtransforms
The provided code snippet includes necessary dependencies for implementing the `_is_decade` function. Wr... | Return True if *x* is an integer power of *base*. |
171,040 | import itertools
import logging
import locale
import math
from numbers import Integral
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook
from matplotlib import transforms as mtransforms
def _is_close_to_int(x):
return math.isclose(x, round(x)) | null |
171,041 | from itertools import cycle
import numpy as np
from matplotlib import _api, cbook
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
import matplotlib.collections as mcoll
def update_from_first_child(tgt, src):
first_child = next(iter(src.get_children()), None)
if first_child is not N... | null |
171,042 | from collections.abc import Mapping
import functools
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, colors, cbook, scale
from matplotlib._cm import datad
from matplotlib._cm_listed import cmaps as cmaps_listed
_LUTSIZE = mpl.rcParams['image.lut']
datad = {
'Blues': _B... | Generate a dict mapping standard colormap names to standard colormaps, as well as the reversed colormaps. |
171,043 | from collections.abc import Mapping
import functools
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, colors, cbook, scale
from matplotlib._cm import datad
from matplotlib._cm_listed import cmaps as cmaps_listed
_colormaps = ColormapRegistry(_gen_cmap_registry())
The provid... | Add a colormap to the set recognized by :func:`get_cmap`. Register a new colormap to be accessed by name :: LinearSegmentedColormap('swirly', data, lut) register_cmap(cmap=swirly_cmap) Parameters ---------- name : str, optional The name that can be used in :func:`get_cmap` or :rc:`image.cmap` If absent, the name will b... |
171,044 | from collections.abc import Mapping
import functools
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, colors, cbook, scale
from matplotlib._cm import datad
from matplotlib._cm_listed import cmaps as cmaps_listed
_colormaps = ColormapRegistry(_gen_cmap_registry())
The provid... | Remove a colormap recognized by :func:`get_cmap`. You may not remove built-in colormaps. If the named colormap is not registered, returns with no error, raises if you try to de-register a default colormap. .. warning:: Colormap names are currently a shared namespace that may be used by multiple packages. Use `unregiste... |
171,045 | from collections.abc import Mapping
import functools
import numpy as np
from numpy import ma
import matplotlib as mpl
from matplotlib import _api, colors, cbook, scale
from matplotlib._cm import datad
from matplotlib._cm_listed import cmaps as cmaps_listed
The provided code snippet includes necessary dependencies for ... | Automatically generate a norm class from *scale_cls*. This differs from `.colors.make_norm_from_scale` in the following points: - This function is not a class decorator, but directly returns a norm class (as if decorating `.Normalize`). - The scale is automatically constructed with ``nonpositive="mask"``, if it support... |
171,046 | from functools import lru_cache, partial
import re
from pyparsing import (
Group, Optional, ParseException, Regex, StringEnd, Suppress, ZeroOrMore)
from matplotlib import _api
_family_escape = partial(re.compile(r'(?=[%s])' % _family_punc).sub, r'\\')
_value_escape = partial(re.compile(r'(?=[%s])' % _value_punc).su... | Convert a `.FontProperties` to a fontconfig pattern string. |
171,047 | import itertools
import numpy as np
from matplotlib import _api
The provided code snippet includes necessary dependencies for implementing the `stackplot` function. Write a Python function `def stackplot(axes, x, *args, labels=(), colors=None, baseline='zero', **kwargs)` to solve the follow... | Draw a stacked area plot. Parameters ---------- x : (N,) array-like y : (M, N) array-like The data is assumed to be unstacked. Each of the following calls is legal:: stackplot(x, y) # where y has shape (M, N) stackplot(x, y1, y2, y3) # where y1, y2, y3, y4 have length N baseline : {'zero', 'sym', 'wiggle', 'weighted_wi... |
171,048 | from contextlib import ExitStack
import copy
import itertools
from numbers import Integral, Number
from cycler import cycler
import numpy as np
import matplotlib as mpl
from . import (_api, _docstring, backend_tools, cbook, collections, colors,
text as mtext, ticker, transforms)
from .lines import Line2D... | null |
171,049 | import numpy as np
import matplotlib as mpl
from matplotlib import _api, cm, patches
import matplotlib.colors as mcolors
import matplotlib.collections as mcollections
import matplotlib.lines as mlines
class StreamplotSet:
def __init__(self, lines, arrows):
self.lines = lines
self.arrows = arrows
cla... | Draw streamlines of a vector flow. Parameters ---------- x, y : 1D/2D arrays Evenly spaced strictly increasing arrays to make a grid. If 2D, all rows of *x* must be equal and all columns of *y* must be equal; i.e., they must be as if generated by ``np.meshgrid(x_1d, y_1d)``. u, v : 2D arrays *x* and *y*-velocities. The... |
171,050 | import functools
import logging
import math
from numbers import Real
import weakref
import numpy as np
import matplotlib as mpl
from . import _api, artist, cbook, _docstring
from .artist import Artist
from .font_manager import FontProperties
from .patches import FancyArrowPatch, FancyBboxPatch, Rectangle
from .textpath... | Calculate the bounding box of the text. The bbox position takes text rotation into account, but the width and height are those of the unrotated box (unlike `.Text.get_window_extent`). |
171,051 | import functools
import logging
import math
from numbers import Real
import weakref
import numpy as np
import matplotlib as mpl
from . import _api, artist, cbook, _docstring
from .artist import Artist
from .font_manager import FontProperties
from .patches import FancyArrowPatch, FancyBboxPatch, Rectangle
from .textpath... | Call ``renderer.get_text_width_height_descent``, caching the results. |
171,052 | import contextlib
import logging
import os
from pathlib import Path
import sys
import warnings
import matplotlib as mpl
from matplotlib import _api, _docstring, _rc_params_in_file, rcParamsDefault
def use(style):
"""
Use Matplotlib style settings from a style specification.
The style name of 'default' is re... | Context manager for using style settings temporarily. Parameters ---------- style : str, dict, Path or list A style specification. Valid options are: str - One of the style names in `.style.available` (a builtin style or a style installed in the user library path). - A dotted name of the form "package.style_name"; in t... |
171,053 | import contextlib
import logging
import os
from pathlib import Path
import sys
import warnings
import matplotlib as mpl
from matplotlib import _api, _docstring, _rc_params_in_file, rcParamsDefault
def update_user_library(library):
"""Update style library with user-defined rc files."""
for stylelib_path in map(o... | Reload the style library. |
171,054 | from matplotlib.backend_bases import RendererBase
from matplotlib import colors as mcolors
from matplotlib import patches as mpatches
from matplotlib import transforms as mtransforms
from matplotlib.path import Path
import numpy as np
The provided code snippet includes necessary dependencies for implementing the `_sub... | Create a PathEffect class combining *effect_class* and a normal draw. |
171,055 | from functools import partial
import numpy as np
def _flag_red(x): return 0.75 * np.sin((x * 31.5 + 0.25) * np.pi) + 0.5 | null |
171,056 | from functools import partial
import numpy as np
def _flag_green(x): return np.sin(x * 31.5 * np.pi) | null |
171,057 | from functools import partial
import numpy as np
def _flag_blue(x): return 0.75 * np.sin((x * 31.5 - 0.25) * np.pi) + 0.5 | null |
171,058 | from functools import partial
import numpy as np
def _prism_red(x): return 0.75 * np.sin((x * 20.9 + 0.25) * np.pi) + 0.67 | null |
171,059 | from functools import partial
import numpy as np
def _prism_green(x): return 0.75 * np.sin((x * 20.9 - 0.25) * np.pi) + 0.33 | null |
171,060 | from functools import partial
import numpy as np
def _prism_blue(x): return -1.1 * np.sin((x * 20.9) * np.pi) | null |
171,061 | from functools import partial
import numpy as np
def _ch_helper(gamma, s, r, h, p0, p1, x):
"""Helper function for generating picklable cubehelix colormaps."""
# Apply gamma factor to emphasise low or high intensity values
xg = x ** gamma
# Calculate amplitude and angle of deviation from the black to wh... | Return custom data dictionary of (r, g, b) conversion functions, which can be used with :func:`register_cmap`, for the cubehelix color scheme. Unlike most other color schemes cubehelix was designed by D.A. Green to be monotonically increasing in terms of perceived brightness. Also, when printed on a black and white pos... |
171,062 | from functools import partial
import numpy as np
def _g0(x): return 0 | null |
171,063 | from functools import partial
import numpy as np
def _g1(x): return 0.5 | null |
171,064 | from functools import partial
import numpy as np
def _g2(x): return 1 | null |
171,065 | from functools import partial
import numpy as np
def _g3(x): return x | null |
171,066 | from functools import partial
import numpy as np
def _g4(x): return x ** 2 | null |
171,067 | from functools import partial
import numpy as np
def _g5(x): return x ** 3 | null |
171,068 | from functools import partial
import numpy as np
def _g6(x): return x ** 4 | null |
171,069 | from functools import partial
import numpy as np
def _g7(x): return np.sqrt(x) | null |
171,070 | from functools import partial
import numpy as np
def _g8(x): return np.sqrt(np.sqrt(x)) | null |
171,071 | from functools import partial
import numpy as np
def _g9(x): return np.sin(x * np.pi / 2) | null |
171,072 | from functools import partial
import numpy as np
def _g10(x): return np.cos(x * np.pi / 2) | null |
171,073 | from functools import partial
import numpy as np
def _g11(x): return np.abs(x - 0.5) | null |
171,074 | from functools import partial
import numpy as np
def _g12(x): return (2 * x - 1) ** 2 | null |
171,075 | from functools import partial
import numpy as np
def _g13(x): return np.sin(x * np.pi) | null |
171,076 | from functools import partial
import numpy as np
def _g14(x): return np.abs(np.cos(x * np.pi)) | null |
171,077 | from functools import partial
import numpy as np
def _g15(x): return np.sin(x * 2 * np.pi) | null |
171,078 | from functools import partial
import numpy as np
def _g16(x): return np.cos(x * 2 * np.pi) | null |
171,079 | from functools import partial
import numpy as np
def _g17(x): return np.abs(np.sin(x * 2 * np.pi)) | null |
171,080 | from functools import partial
import numpy as np
def _g18(x): return np.abs(np.cos(x * 2 * np.pi)) | null |
171,081 | from functools import partial
import numpy as np
def _g19(x): return np.abs(np.sin(x * 4 * np.pi)) | null |
171,082 | from functools import partial
import numpy as np
def _g20(x): return np.abs(np.cos(x * 4 * np.pi)) | null |
171,083 | from functools import partial
import numpy as np
def _g21(x): return 3 * x | null |
171,084 | from functools import partial
import numpy as np
def _g22(x): return 3 * x - 1 | null |
171,085 | from functools import partial
import numpy as np
def _g23(x): return 3 * x - 2 | null |
171,086 | from functools import partial
import numpy as np
def _g24(x): return np.abs(3 * x - 1) | null |
171,087 | from functools import partial
import numpy as np
def _g25(x): return np.abs(3 * x - 2) | null |
171,088 | from functools import partial
import numpy as np
def _g26(x): return (3 * x - 1) / 2 | null |
171,089 | from functools import partial
import numpy as np
def _g27(x): return (3 * x - 2) / 2 | null |
171,090 | from functools import partial
import numpy as np
def _g28(x): return np.abs((3 * x - 1) / 2) | null |
171,091 | from functools import partial
import numpy as np
def _g29(x): return np.abs((3 * x - 2) / 2) | null |
171,092 | from functools import partial
import numpy as np
def _g30(x): return x / 0.32 - 0.78125 | null |
171,093 | from functools import partial
import numpy as np
def _g31(x): return 2 * x - 0.84 | null |
171,094 | from functools import partial
import numpy as np
def _g32(x):
ret = np.zeros(len(x))
m = (x < 0.25)
ret[m] = 4 * x[m]
m = (x >= 0.25) & (x < 0.92)
ret[m] = -2 * x[m] + 1.84
m = (x >= 0.92)
ret[m] = x[m] / 0.08 - 11.5
return ret | null |
171,095 | from functools import partial
import numpy as np
def _g33(x): return np.abs(2 * x - 0.5) | null |
171,096 | from functools import partial
import numpy as np
def _g34(x): return 2 * x | null |
171,097 | from functools import partial
import numpy as np
def _g35(x): return 2 * x - 0.5 | null |
171,098 | from functools import partial
import numpy as np
def _g36(x): return 2 * x - 1 | null |
171,099 | from functools import partial
import numpy as np
def _gist_heat_red(x): return 1.5 * x | null |
171,100 | from functools import partial
import numpy as np
def _gist_heat_green(x): return 2 * x - 1 | null |
171,101 | from functools import partial
import numpy as np
def _gist_heat_blue(x): return 4 * x - 3 | null |
171,102 | from functools import partial
import numpy as np
def _gist_yarg(x): return 1 - x | null |
171,103 | import math
import numpy as np
from numpy import ma
from matplotlib import _api, cbook, _docstring
import matplotlib.artist as martist
import matplotlib.collections as mcollections
from matplotlib.patches import CirclePolygon
import matplotlib.text as mtext
import matplotlib.transforms as transforms
The provided code ... | Helper function to parse positional parameters for colored vector plots. This is currently used for Quiver and Barbs. Parameters ---------- *args : list list of 2-5 arguments. Depending on their number they are parsed to:: U, V U, V, C X, Y, U, V X, Y, U, V, C caller_name : str Name of the calling method (used in error... |
171,104 | import math
import numpy as np
from numpy import ma
from matplotlib import _api, cbook, _docstring
import matplotlib.artist as martist
import matplotlib.collections as mcollections
from matplotlib.patches import CirclePolygon
import matplotlib.text as mtext
import matplotlib.transforms as transforms
def _check_consist... | null |
171,105 | from collections.abc import Iterable, Sequence
from contextlib import ExitStack
import functools
import inspect
import itertools
import logging
from numbers import Real
from operator import attrgetter
import types
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook, _docstring, offsetbox
impo... | Convert a MATLAB style color/line style format string to a (*linestyle*, *marker*, *color*) tuple. Example format strings include: * 'ko': black circles * '.b': blue dots * 'r--': red dashed lines * 'C2--': the third color in the color cycle, dashed lines The format is absolute in the sense that if a linestyle or marke... |
171,106 | from collections.abc import Iterable, Sequence
from contextlib import ExitStack
import functools
import inspect
import itertools
import logging
from numbers import Real
from operator import attrgetter
import types
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook, _docstring, offsetbox
impo... | A helper function for rasterizing the list of artists. The bookkeeping to track if we are or are not in rasterizing mode with the mixed-mode backends is relatively complicated and is now handled in the matplotlib.artist.allow_rasterization decorator. This helper defines the absolute minimum methods and attributes on a ... |
171,107 | import logging
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook, collections, cm, colors, contour, ticker
import matplotlib.artist as martist
import matplotlib.patches as mpatches
import matplotlib.path as mpath
import matplotlib.spines as mspines
import matplotlib.transforms as mtransform... | null |
171,108 | import logging
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook, collections, cm, colors, contour, ticker
import matplotlib.artist as martist
import matplotlib.patches as mpatches
import matplotlib.path as mpath
import matplotlib.spines as mspines
import matplotlib.transforms as mtransform... | Create an `~.axes.Axes` suitable for a colorbar. The axes is placed in the figure of the *parents* axes, by resizing and repositioning *parents*. Parameters ---------- parents : `~.axes.Axes` or iterable or `numpy.ndarray` of `~.axes.Axes` The Axes to use as parents for placing the colorbar. %(_make_axes_kw_doc)s Retur... |
171,109 | import logging
import numpy as np
import matplotlib as mpl
from matplotlib import _api, cbook, collections, cm, colors, contour, ticker
import matplotlib.artist as martist
import matplotlib.patches as mpatches
import matplotlib.path as mpath
import matplotlib.spines as mspines
import matplotlib.transforms as mtransform... | Create an `~.axes.Axes` suitable for a colorbar. The axes is placed in the figure of the *parent* axes, by resizing and repositioning *parent*. This function is similar to `.make_axes` and mostly compatible with it. Primary differences are - `.make_axes_gridspec` requires the *parent* to have a subplotspec. - `.make_ax... |
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