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matplotlib.pyplot.plot()参数详解
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Help on function plot in module matplotlib.pyplot:plot(*args, **kwargs)Plot lines and/or markers to the:class:`~matplotlib.axes.Axes`. *args* is a variable lengthargument, allowing for multiple *x*, *y* pairs with anoptional format string. For example, each of the following islegal::plot(x, y) # plot x and y using default line style and colorplot(x, y, 'bo') # plot x and y using blue circle markersplot(y) # plot y using x as index array 0..N-1plot(y, 'r+')# ditto, but with red plussesIf *x* and/or *y* is 2-dimensional, then the corresponding columnswill be plotted.If used with labeled data, make sure that the color spec is notincluded as an element in data, as otherwise the last case``plot("v","r", data={"v":..., "r":...)``can be interpreted as the first case which would do ``plot(v, r)``using the default line style and color.If not used with labeled data (i.e., without a data argument),an arbitrary number of *x*, *y*, *fmt* groups can be specified, as in::a.plot(x1, y1, 'g^', x2, y2, 'g-')Return value is a list of lines that were added.By default, each line is assigned a different style specified by a'style cycle'. To change this behavior, you can edit theaxes.prop_cycle rcParam.The following format string characters are accepted to controlthe line style or marker:================ ===============================character description================ ===============================``'-'`` solid line style``'--'`` dashed line style``'-.'`` dash-dot line style``':'`` dotted line style``'.'`` point marker``','`` pixel marker``'o'`` circle marker``'v'`` triangle_down marker``'^'`` triangle_up marker``'<'`` triangle_left marker``'>'`` triangle_right marker``'1'`` tri_down marker``'2'`` tri_up marker``'3'`` tri_left marker``'4'`` tri_right marker``'s'`` square marker``'p'`` pentagon marker``'*'`` star marker``'h'`` hexagon1 marker``'H'`` hexagon2 marker``'+'`` plus marker``'x'`` x marker``'D'`` diamond marker``'d'`` thin_diamond marker``'|'`` vline marker``'_'`` hline marker================ ===============================The following color abbreviations are supported:========== ========character color========== ========'b' blue'g' green'r' red'c' cyan'm' magenta'y' yellow'k' black'w' white========== ========In addition, you can specify colors in many weird andwonderful ways, including full names (``'green'``), hexstrings (``'#008000'``), RGB or RGBA tuples (``(0,1,0,1)``) orgrayscale intensities as a string (``'0.8'``). Of these, thestring specifications can be used in place of a ``fmt`` group,but the tuple forms can be used only as ``kwargs``.Line styles and colors are combined in a single format string, as in``'bo'`` for blue circles.The *kwargs* can be used to set line properties (any property that hasa ``set_*`` method). You can use this to set a line label (for autolegends), linewidth, anitialising, marker face color, etc. Here is anexample::plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2)plot([1,2,3], [1,4,9], 'rs', label='line 2')axis([0, 4, 0, 10])legend()If you make multiple lines with one plot command, the kwargsapply to all those lines, e.g.::plot(x1, y1, x2, y2, antialiased=False)Neither line will be antialiased.You do not need to use format strings, which are justabbreviations. All of the line properties can be controlledby keyword arguments. For example, you can set the color,marker, linestyle, and markercolor with::plot(x, y, color='green', linestyle='dashed', marker='o',markerfacecolor='blue', markersize=12).See :class:`~matplotlib.lines.Line2D` for details.The kwargs are :class:`~matplotlib.lines.Line2D` properties:agg_filter: unknownalpha: float (0.0 transparent through 1.0 opaque) animated: [True | False] antialiased or aa: [True | False] clip_box: a :class:`matplotlib.transforms.Bbox` instance clip_on: [True | False] clip_path: [ (:class:`~matplotlib.path.Path`, :class:`~matplotlib.transforms.Transform`) | :class:`~matplotlib.patches.Patch` | None ] color or c: any matplotlib color contains: a callable function dash_capstyle: ['butt' | 'round' | 'projecting'] dash_joinstyle: ['miter' | 'round' | 'bevel'] dashes: sequence of on/off ink in points drawstyle: ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] figure: a :class:`matplotlib.figure.Figure` instance fillstyle: ['full' | 'left' | 'right' | 'bottom' | 'top' | 'none'] gid: an id string label: string or anything printable with '%s' conversion. linestyle or ls: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) | ``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'None'`` | ``' '`` | ``''``]linewidth or lw: float value in points marker: :mod:`A valid marker style <matplotlib.markers>`markeredgecolor or mec: any matplotlib color markeredgewidth or mew: float value in points markerfacecolor or mfc: any matplotlib color markerfacecoloralt or mfcalt: any matplotlib color markersize or ms: float markevery: [None | int | length-2 tuple of int | slice | list/array of int | float | length-2 tuple of float]path_effects: unknownpicker: float distance in points or callable pick function ``fn(artist, event)`` pickradius: float distance in points rasterized: [True | False | None] sketch_params: unknownsnap: unknownsolid_capstyle: ['butt' | 'round' | 'projecting'] solid_joinstyle: ['miter' | 'round' | 'bevel'] transform: a :class:`matplotlib.transforms.Transform` instance url: a url string visible: [True | False] xdata: 1D array ydata: 1D array zorder: any number kwargs *scalex* and *scaley*, if defined, are passed on to:meth:`~matplotlib.axes.Axes.autoscale_view` to determinewhether the *x* and *y* axes are autoscaled; the default is*True*... note::In addition to the above described arguments, this function can take a**data** keyword argument. If such a **data** argument is given, thefollowing arguments are replaced by **data[<arg>]**:* All arguments with the following names: 'x', 'y'.
