Python查找函数定义
2021/4/12 12:29:36
本文主要是介绍Python查找函数定义,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
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 plt help(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, which will be rendered as a pseudocolor image. For displaying a grayscale image 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, which will be rendered as a pseudocolor image. For displaying a grayscale image 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 size and the *dpi* of the figure. This can lead to aliasing artifacts when the image is resampled because the displayed image size will usually not match the size of *X* (see :doc:`/gallery/images_contours_and_fields/image_antialiasing`). The resampling can be controlled via the *interpolation* parameter and/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 stretched 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 integer coordinates. In other words: the origin will coincide with the center of pixel (0, 0). There are two common representations for RGB images with an alpha channel: - 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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