画图Plot()函数使用说明文档（中英文）

画图Plot()函数使用说明文档（中英文）"/>

画图Plot()函数使用说明文档（中英文）

#plot（）函数plot(*args, scalex=True, scaley=True, data=None, **kwargs)Plot y versus x as lines and/or markers. # 将y与x绘制为直线和/或标记。Call signatures::plot([x], y, [fmt], *, data=None, **kwargs)plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)The coordinates of the points or line nodes are given by *x*, *y*.#点或线节点的坐标由* x *，* y *给出。The optional parameter *fmt* is a convenient way for defining basicformatting like color, marker and linestyle. It's a shortcut stringnotation described in the *Notes* section below.#可选参数* fmt *是定义基本格式（如颜色，标记和线条样式）的便捷方法。#这是下面* Notes *部分中描述的快捷方式字符串符号。>>> plot(x, y)        # plot x and y using default line style and color>>> plot(x, y, 'bo')  # plot x and y using blue circle markers（蓝色圆圈）>>> plot(y)           # plot y using x as index array 0..N-1（x作为索引数组0..N-1）>>> plot(y, 'r+')     # ditto, but with red plusses（同上，但带有红色加号）You can use `.Line2D` properties as keyword arguments for morecontrol on the appearance. Line properties and *fmt* can be mixed.The following two calls yield identical results:#你可以将.Line2D属性用作关键字参数，以更好地控制外观。 #线属性和* fmt *可以混合使用。#以下两个调用产生相同的结果：>>> plot(x, y, 'go--', linewidth=2, markersize=12)>>> plot(x, y, color='green', marker='o', linestyle='dashed',...      linewidth=2, markersize=12)When conflicting with *fmt*, keyword arguments take precedence.# 与* fmt *冲突时，关键字参数优先。**Plotting labelled data**#**绘制标签数据**There's a convenient way for plotting objects with labelled data (i.e.data that can be accessed by index ``obj['y']``). Instead of givingthe data in *x* and *y*, you can provide the object in the *data*parameter and just give the labels for *x* and *y*::#有一种方便的方法可以绘制带有标签数据的对象（即可以通过索引``obj ['y']''访问的数据）。#您可以在* data *参数中提供对象，而不必为* x *和* y *提供数据，而只需为* x *和* y *提供标签：>>> plot('xlabel', 'ylabel', data=obj)All indexable objects are supported. This could e.g. be a `dict`, a`pandas.DataFame` or a structured numpy array.# 支持所有可索引对象。 例如 是dict，pandas.DataFrame或结构化numpy数组。**Plotting multiple sets of data**#**绘制多组数据**There are various ways to plot multiple sets of data.#有多种方法可以绘制多组数据。- The most straight forward way is just to call `plot` multiple times.Example:#最直接的方法是多次调用“ plot”。#例：>>> plot(x1, y1, 'bo')>>> plot(x2, y2, 'go')- Alternatively, if your data is already a 2d array, you can pass itdirectly to *x*, *y*. A separate data set will be drawn for everycolumn.#或者，如果您的数据已经是2d数组，则可以将其直接传递给* x *，* y *。 #将为每一列绘制一个单独的数据集。Example: an array ``a`` where the first column represents the *x*values and the other columns are the *y* columns::# 示例：数组“ a”，其中第一列表示* x *值，其他列为* y *列：：>>> plot(a[0], a[1:])- The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*groups::# 第三种方法是指定多组* [x] *，* y *，* [fmt] *组：>>> plot(x1, y1, 'g^', x2, y2, 'g-')In this case, any additional keyword argument applies to alldatasets. Also this syntax cannot be combined with the *data*parameter.# 在这种情况下，任何其他关键字参数都适用于所有数据集。# 同样，此语法不能与* data *参数结合使用。By default, each line is assigned a different style specified by a'style cycle'. The *fmt* and line property parameters are onlynecessary if you want explicit deviations from these defaults.Alternatively, you can also change the style cycle using the'axes.prop_cycle' rcParam.#认情况下，为每行分配一个由“样式循环”指定的不同样式。#* fmt *和line属性参数仅在您希望与这些默认值明显不同时才需要。# 另外，您也可以使用'axes.prop_cycle' rcParam更改样式周期。Parameters----------x, y : array-like or scalar #类数组或标量The horizontal / vertical coordinates of the data points.*x* values are optional and default to `range(len(y))`.#数据点的水平/垂直坐标。 * x *值是可选的，默认为`range（len（y））`Commonly, these parameters are 1D arrays.#通常，这些参数是一维数组。They can also be scalars, or two-dimensional (in that case, thecolumns represent separate data sets).#它们也可以是标量，也可以是二维的（在这种情况下，列代表单独的数据集）。These arguments cannot be passed as keywords.#这些参数不能作为关键字传递。fmt : str, optional # 字符串，可选。A format string, e.g. 'ro' for red circles. See the *Notes*section for a full description of the format strings.#有关格式字符串的完整说明，请参见* Notes *部分。Format strings are just an abbreviation for quickly settingbasic line properties. All of these and more can also becontrolled by keyword arguments.#格式字符串只是用于快速设置基本行属性的缩写。#所有这些以及更多这些都可以通过关键字参数来控制。This argument cannot be passed as keyword.#此参数不能作为关键字传递。data : indexable object, optional #可索引对象，可选。An object with labelled data. If given, provide the label names toplot in *x* and *y*.#带有标签数据的对象。如果给定，请提供要在*x*和*y*中打印的标签名称。.. note::Technically there's a slight ambiguity in calls where thesecond label is a valid *fmt*. `plot('n', 'o', data=obj)`could be `plt(x, y)` or `plt(y, fmt)`. In such cases,the former interpretation is chosen, but a warning is issued.You may suppress the warning by adding an empty format string`plot('n', 'o', '', data=obj)`.#从技术上讲，当第二个标签是有效的*fmt*时，调用有一点模糊。#`plot（'n'，'o'，data=obj）`可以是'plt（x，y）`或'plt（y，fmt）'。#在这种情况下，选择前一种解释，但发出警告。#可以通过添加空格式字符串plot（'n'，'o'，''，data=obj）来抑制警告`Other Parameters----------------scalex, scaley : bool, optional, default: True #bool，可选，默认值：TrueThese parameters determined if the view limits are adapted tothe data limits. The values are passed on to `autoscale_view`.#这些参数确定视图限制是否适合数据限制。这些值将传递给“ autoscale_view”。**kwargs : `.Line2D` properties, optional*kwargs* are used to specify properties like a line label (forauto legends), linewidth, antialiasing, marker face color.Example::#*kwargs*用于指定线标签（用于自动图例）、线宽、抗锯齿、标记面颜色等特性。#例如：>>> plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2)>>> plot([1,2,3], [1,4,9], 'rs',  label='line 2')If you make multiple lines with one plot command, the kwargsapply to all those lines.#如果使用一个plot命令制作多条线，则kwarg应用于所有这些线。Here is a list of available `.Line2D` properties:#这是可用的.Line2D属性的列表：agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) arrayalpha: floatanimated: boolantialiased or aa: boolclip_box: `.Bbox`clip_on: boolclip_path: [(`~matplotlib.path.Path`, `.Transform`) | `.Patch` | None]color or c: color # 线的颜色contains: callabledash_capstyle: {'butt', 'round', 'projecting'}dash_joinstyle: {'miter', 'round', 'bevel'}dashes: sequence of floats (on/off ink in points) or (None, None)drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'figure: `.Figure`fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}gid: strin_layout: boollabel: object # 线的图例名称linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}#线的类型linewidth or lw: float #线的宽度marker: marker style # 数据点的记号笔markeredgecolor or mec: colormarkeredgewidth or mew: floatmarkerfacecolor or mfc: colormarkerfacecoloralt or mfcalt: colormarkersize or ms: float # 数据点的记号笔大小markevery: None or int or (int, int) or slice or List[int] or float or (float, float)path_effects: `.AbstractPathEffect`picker: float or callable[[Artist, Event], Tuple[bool, dict]]pickradius: floatrasterized: bool or Nonesketch_params: (scale: float, length: float, randomness: float)snap: bool or Nonesolid_capstyle: {'butt', 'round', 'projecting'}solid_joinstyle: {'miter', 'round', 'bevel'}transform: `matplotlib.transforms.Transform`url: strvisible: boolxdata: 1D arrayydata: 1D arrayzorder: floatReturns-------linesA list of `.Line2D` objects representing the plotted data.See Also--------scatter : XY scatter plot with markers of varying size and/or color (sometimes also called bubble chart).Notes-----**Format Strings**A format string consists of a part for color, marker and line::fmt = '[marker][line][color]'Each of them is optional. If not provided, the value from the stylecycle is used. Exception: If ``line`` is given, but no ``marker``,the data will be a line without markers.#每个都是可选的。如果未提供，则使用样式周期中的值。#例外：如果给定了“line”，但没有“marker”，则数据将是没有标记的线。Other combinations such as ``[color][marker][line]`` are alsosupported, but note that their parsing may be ambiguous.#也支持其他组合，如`[color][marker][line]`'，但请注意，它们的解析可能不明确。**Markers**=============    ===============================character        description=============    ===============================``'.'``          point marker # 点``','``          pixel marker # 像素``'o'``          circle marker # 圆``'v'``          triangle_down marker # 三角形向下``'^'``          triangle_up marker  # 三角形向上``'<'``          triangle_left marker  # 三角形向左``'>'``          triangle_right marker  # 三角形向右``'1'``          tri_down marker  # 三叉``'2'``          tri_up marker``'3'``          tri_left marker``'4'``          tri_right marker``'s'``          square marker #正方形``'p'``          pentagon marker #五角形``'*'``          star marker # 星形``'h'``          hexagon1 marker # 六角形1``'H'``          hexagon2 marker # 六角形2``'+'``          plus marker # +``'x'``          x marker # x``'D'``          diamond marker   # 钻石形``'d'``          thin_diamond marker #薄钻石形``'|'``          vline marker # 1线``'_'``          hline marker # _线=============    ===============================**Line Styles**=============    ===============================character        description=============    ===============================``'-'``          solid line style``'--'``         dashed line style``'-.'``         dash-dot line style``':'``          dotted line style=============    ===============================Example format strings::'b'    # blue markers with default shape'or'   # red circles'-g'   # green solid line'--'   # dashed line with default color'^k:'  # black triangle_up markers connected by a dotted line**Colors**The supported color abbreviations are the single letter codes=============    ===============================character        color=============    ===============================``'b'``          blue``'g'``          green``'r'``          red``'c'``          cyan # 青色``'m'``          magenta``'y'``          yellow``'k'``          black``'w'``          white=============    ===============================and the ``'CN'`` colors that index into the default property cycle.If the color is the only part of the format string, you canadditionally use any  `matplotlib.colors` spec, e.g. full names(``'green'``) or hex strings (``'#008000'``).