Python查找函数定义

概述不知道某个函数的定义市可用help(函数名)方便的查找定义比如importmatplotlib.pyplotasplthelp(plt.imshow)查找matplotlib模块里imshow函数的定义需要注意的时查找模块内函数定义记得引入模块，且不要传入参数Helponfunctionimshowinmodulematplotlib.pypl

不知道某个函数的定义市可用
help(函数名)
方便的查找定义
比如

import matplotlib.pyplot as plthelp(plt.imshow)

查找matplotlib模块里imshow函数的定义
需要注意的时
查找模块内函数定义记得引入模块，且不要传入参数

Help on function imshow in module matplotlib.pyplot:imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, Alpha=None, vmin=None, vmax=None, origin=None, extent=None, *, filternorm=True, filterrad=4.0, resample=None, url=None, data=None, **kwargs)display data as an image, i.e., on a 2D regular raster.The input may either be actual RGB(A) data, or 2D scalar data, whichwill be rendered as a pseudocolor image. For displaying a grayscaleimage set up the colormapPing using the parameters``cmap='gray', vmin=0, vmax=255``.The input may either be actual RGB(A) data, or 2D scalar data, whichwill be rendered as a pseudocolor image. For displaying a grayscaleimage set up the colormapPing using the parameters``cmap='gray', vmin=0, vmax=255``.The number of pixels used to render an image is set by the Axes sizeand the *dpi* of the figure. This can lead to aliasing artifacts whenthe image is resampled because the displayed image size will usuallynot match the size of *X* (see:doc:`/gallery/images_contours_and_fIElds/image_antialiasing`).The resampling can be controlled via the *interpolation* parameterand/or :rc:`image.interpolation`.Parameters----------X : array-like or PIL image    The image data. Supported array shapes are:    - (M, N): an image with scalar data. The values are mapped to      colors using normalization and a colormap. See parameters *norm*,      *cmaP*, *vmin*, *vmax*.    - (M, N, 3): an image with RGB values (0-1 float or 0-255 int).    - (M, N, 4): an image with RGBA values (0-1 float or 0-255 int),      i.e. including transparency. The first two dimensions (M, N) define the rows and columns of    the image.    Out-of-range RGB(A) values are clipped.cmap : str or `~matplotlib.colors.colormap`, default: :rc:`image.cmap`    The colormap instance or registered colormap name used to map    scalar data to colors. This parameter is ignored for RGB(A) data.norm : `~matplotlib.colors.normalize`, optional    The `.normalize` instance used to scale scalar data to the [0, 1]    range before mapPing to colors using *cmaP*. By default, a linear    scaling mapPing the lowest value to 0 and the highest to 1 is used.    This parameter is ignored for RGB(A) data.aspect : {'equal', 'auto'} or float, default: :rc:`image.aspect`    The aspect ratio of the Axes.  This parameter is particularly    relevant for images since it determines whether data pixels are    square.    This parameter is a shortcut for explicitly calling    `.Axes.set_aspect`. See there for further details.    - 'equal': Ensures an aspect ratio of 1. Pixels will be square      (unless pixel sizes are explicitly made non-square in data      coordinates using *extent*).    - 'auto': The Axes is kept fixed and the aspect is adjusted so      that the data fit in the Axes. In general, this will result in      non-square pixels.interpolation : str, default: :rc:`image.interpolation`    The interpolation method used.    Supported values are 'none', 'antialiased', 'nearest', 'bilinear',    'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite',    'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell',    'sinc', 'lanczos', 'blackman'.    If *interpolation* is 'none', then no interpolation is performed    on the Agg, ps, pdf and svg backends. Other backends will fall back    to 'nearest'. Note that most SVG renderers perform interpolation at    rendering and that the default interpolation method they implement    may differ.    If *interpolation* is the default 'antialiased', then 'nearest'    interpolation is used if the image is upsampled by more than a    factor of three (i.e. the number of display pixels is at least    three times the size of the data array).  If the upsampling rate is    smaller than 3, or the image is downsampled, then 'hanning'    interpolation is used to act as an anti-aliasing filter, unless the    image happens to be upsampled by exactly a factor of two or one.    See    :doc:`/gallery/images_contours_and_fIElds/interpolation_methods`    for an overvIEw of the supported interpolation methods, and    :doc:`/gallery/images_contours_and_fIElds/image_antialiasing` for    a discussion of image antialiasing.    Some interpolation methods require an additional radius parameter,    which can be set by *filterrad*. Additionally, the antigrain image    resize filter is controlled by the parameter *filternorm*.Alpha : float or array-like, optional    The Alpha blending value, between 0 (transparent) and 1 (opaque).    If *Alpha* is an array, the Alpha blending values are applIEd pixel    by pixel, and *Alpha* must have the same shape as *X*.vmin, vmax : float, optional    When using scalar data and no explicit *norm*, *vmin* and *vmax*    define the data range that the colormap covers. By default,    the colormap covers the complete value range of the supplIEd    data. It is deprecated to use *vmin*/*vmax* when *norm* is given.    When using RGB(A) data, parameters *vmin*/*vmax* are ignored.origin : {'upper', 'lower'}, default: :rc:`image.origin`    Place the [0, 0] index of the array in the upper left or lower    left corner of the Axes. The convention (the default) 'upper' is    typically used for matrices and images.    Note that the vertical axis points upward for 'lower'    but downward for 'upper'.    See the :doc:`/tutorials/intermediate/imshow_extent` tutorial for    examples and a more detailed description.extent : floats (left, right, bottom, top), optional    The bounding Box in data coordinates that the image will fill.    The image is @R_217_4041@ indivIDually along x and y to fill the Box.    The default extent is determined by the following conditions.    Pixels have unit size in data coordinates. Their centers are on    integer coordinates, and their center coordinates range from 0 to    columns-1 horizontally and from 0 to rows-1 vertically.    Note that the direction of the vertical axis and thus the default    values for top and bottom depend on *origin*:    - For ``origin == 'upper'`` the default is      ``(-0.5, numcols-0.5, numrows-0.5, -0.5)``.    - For ``origin == 'lower'`` the default is      ``(-0.5, numcols-0.5, -0.5, numrows-0.5)``.    See the :doc:`/tutorials/intermediate/imshow_extent` tutorial for    examples and a more detailed description.filternorm : bool, default: True    A parameter for the antigrain image resize filter (see the    antigrain documentation).  If *filternorm* is set, the filter    normalizes integer values and corrects the rounding errors. It    doesn't do anything with the source floating point values, it    corrects only integers according to the rule of 1.0 which means    that any sum of pixel weights must be equal to 1.0.  So, the    filter function must produce a graph of the proper shape.filterrad : float > 0, default: 4.0    The filter radius for filters that have a radius parameter, i.e.    when interpolation is one of: 'sinc', 'lanczos' or 'blackman'.resample : bool, default: :rc:`image.resample`    When *True*, use a full resampling method.  When *False*, only    resample when the output image is larger than the input image.url : str, optional    Set the url of the created `.AxesImage`. See `.Artist.set_url`.Returns-------`~matplotlib.image.AxesImage`Other Parameters----------------**kwargs : `~matplotlib.artist.Artist` propertIEs    These parameters are passed on to the constructor of the    `.AxesImage` artist.See Also--------matshow : Plot a matrix or an array as an image.Notes-----Unless *extent* is used, pixel centers will be located at integercoordinates. In other words: the origin will coincIDe with the centerof pixel (0, 0).There are two common representations for RGB images with an Alphachannel:-   Straight (unassociated) Alpha: R, G, and B channels represent the    color of the pixel, disregarding its opacity.-   PremultiplIEd (associated) Alpha: R, G, and B channels represent    the color of the pixel, adjusted for its opacity by multiplication.`~matplotlib.pyplot.imshow` expects RGB images adopting the straight(unassociated) Alpha representation... note::    In addition to the above described arguments, this function can take    a *data* keyword argument. If such a *data* argument is given,    every other argument can also be string ``s``, which is    interpreted as ``data[s]`` (unless this raises an exception).    Objects passed as **data** must support item access (``data[s]``) and    membership test (``s in data``).

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