e. It's a shortcut string
        notation described in the *Notes* section below.

        >>> 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
        >>> plot(y)           # plot y using x as index array 0..N-1
        >>> plot(y, 'r+')     # ditto, but with red plusses

        You can use `.Line2D` properties as keyword arguments for more
        control on the appearance. Line properties and *fmt* can be mixed.
        The following two calls yield identical results:

        >>> 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.


        **Plotting labelled data**

        There's a convenient way for plotting objects with labelled data (i.e.
        data that can be accessed by index ``obj['y']``). Instead of giving
        the data in *x* and *y*, you can provide the object in the *data*
        parameter and just give the labels for *x* and *y*::

        >>> plot('xlabel', 'ylabel', data=obj)

        All indexable objects are supported. This could e.g. be a `dict`, a
        `pandas.DataFrame` or a structured numpy array.


        **Plotting multiple sets of data**

        There are various ways to plot multiple sets of data.

        - The most straight forward way is just to call `plot` multiple times.
          Example:

          >>> plot(x1, y1, 'bo')
          >>> plot(x2, y2, 'go')

        - If *x* and/or *y* are 2D arrays a separate data set will be drawn
          for every column. If both *x* and *y* are 2D, they must have the
          same shape. If only one of them is 2D with shape (N, m) the other
          must have length N and will be used for every data set m.

          Example:

          >>> x = [1, 2, 3]
          >>> y = np.array([[1, 2], [3, 4], [5, 6]])
          >>> plot(x, y)

          is equivalent to:

          >>> for col in range(y.shape[1]):
          ...     plot(x, y[:, col])

        - The third way is to specify multiple sets of *[x]*, *y*, *[fmt]*
          groups::

          >>> plot(x1, y1, 'g^', x2, y2, 'g-')

          In this case, any additional keyword argument applies to all
          datasets. Also, this syntax cannot be combined with the *data*
          parameter.

        By default, each line is assigned a different style specified by a
        'style cycle'. The *fmt* and line property parameters are only
        necessary if you want explicit deviations from these defaults.
        Alternatively, you can also change the style cycle using
        :rc:`axes.prop_cycle`.


        Parameters
        ----------
        x, y : array-like or scalar
            The horizontal / vertical coordinates of the data points.
            *x* values are optional and default to ``range(len(y))``.

            Commonly, these parameters are 1D arrays.

            They can also be scalars, or two-dimensional (in that case, the
            columns represent separate data sets).

            These arguments cannot be passed as keywords.

        fmt : str, optional
            A format string, e.g. 'ro' for red circles. See the *Notes*
            section for a full description of the format strings.

            Format strings are just an abbreviation for quickly setting
            basic line properties. All of these and more can also be
            controlled by keyword arguments.

            This argument cannot be passed as keyword.

        data : indexable object, optional
            An object with labelled data. If given, provide the label names to
            plot in *x* and *y*.

            .. note::
                Technically there's a slight ambiguity in calls where the
                second 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)``.

        Returns
        -------
        list of `.Line2D`
            A list of lines representing the plotted data.

        Other Parameters
        ----------------
        scalex, scaley : bool, default: True
            These parameters determine if the view limits are adapted to the
            data limits. The values are passed on to
            `~.axes.Axes.autoscale_view`.

        **kwargs : `~matplotlib.lines.Line2D` properties, optional
            *kwargs* are used to specify properties like a line label (for
            auto legends), linewidth, antialiasing, marker face color.
            Example::

            >>> 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 specify multiple lines with one plot call, the kwargs apply
            to all those lines. In case the label object is iterable, each
            element is used as labels for each set of data.

            Here is a list of available `.Line2D` properties:

            %(Line2D:kwdoc)s

        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 style
        cycle is used. Exception: If ``line`` is given, but no ``marker``,
        the data will be a line without markers.

        Other combinations such as ``[color][marker][line]`` are also
        supported, but note that their parsing may be ambiguous.

        **Markers**

        =============   ===============================
        character       description
        =============   ===============================
        ``'.'``         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
        ``'8'``         octagon marker
        ``'s'``         square marker
        ``'p'``         pentagon marker
        ``'P'``         plus (filled) marker
        ``'*'``         star marker
        ``'h'``         hexagon1 marker
        ``'H'``         hexagon2 marker
        ``'+'``         plus marker
        ``'x'``         x marker
        ``'X'``         x (filled) marker
        ``'D'``         diamond marker
        ``'d'``         thin_diamond marker
        ``'|'``         vline marker
        ``'_'``         hline marker
        =============   ===============================

        **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
        ``'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 can
        additionally use any  `matplotlib.colors` spec, e.g. full names
        (``'green'``) or hex strings (``'#008000'``).
        r†