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Module « matplotlib.pyplot »

Fonction plot_date - module matplotlib.pyplot

Signature de la fonction plot_date

def plot_date(x: 'ArrayLike', y: 'ArrayLike', fmt: 'str' = 'o', tz: 'str | datetime.tzinfo | None' = None, xdate: 'bool' = True, ydate: 'bool' = False, *, data=None, **kwargs) -> 'list[Line2D]' 

Description

help(matplotlib.pyplot.plot_date)

[*Deprecated*] Plot coercing the axis to treat floats as dates.

.. deprecated:: 3.9

    This method exists for historic reasons and will be removed in version 3.11.

    - ``datetime``-like data should directly be plotted using
      `~.Axes.plot`.
    -  If you need to plot plain numeric data as :ref:`date-format` or
       need to set a timezone, call ``ax.xaxis.axis_date`` /
       ``ax.yaxis.axis_date`` before `~.Axes.plot`. See
       `.Axis.axis_date`.

Similar to `.plot`, this plots *y* vs. *x* as lines or markers.
However, the axis labels are formatted as dates depending on *xdate*
and *ydate*.  Note that `.plot` will work with `datetime` and
`numpy.datetime64` objects without resorting to this method.

Parameters
----------
x, y : array-like
    The coordinates of the data points. If *xdate* or *ydate* is
    *True*, the respective values *x* or *y* are interpreted as
    :ref:`Matplotlib dates <date-format>`.

fmt : str, optional
    The plot format string. For details, see the corresponding
    parameter in `.plot`.

tz : timezone string or `datetime.tzinfo`, default: :rc:`timezone`
    The time zone to use in labeling dates.

xdate : bool, default: True
    If *True*, the *x*-axis will be interpreted as Matplotlib dates.

ydate : bool, default: False
    If *True*, the *y*-axis will be interpreted as Matplotlib dates.

Returns
-------
list of `.Line2D`
    Objects representing the plotted data.

Other Parameters
----------------
data : indexable object, optional
    If given, the following parameters also accept a string ``s``, which is
    interpreted as ``data[s]`` if ``s`` is a key in ``data``:

    *x*, *y*
**kwargs
    Keyword arguments control the `.Line2D` properties:

    Properties:
    agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
    alpha: scalar or None
    animated: bool
    antialiased or aa: bool
    clip_box: `~matplotlib.transforms.BboxBase` or None
    clip_on: bool
    clip_path: Patch or (Path, Transform) or None
    color or c: :mpltype:`color`
    dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
    dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
    dashes: sequence of floats (on/off ink in points) or (None, None)
    data: (2, N) array or two 1D arrays
    drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
    figure: `~matplotlib.figure.Figure` or `~matplotlib.figure.SubFigure`
    fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}
    gapcolor: :mpltype:`color` or None
    gid: str
    in_layout: bool
    label: object
    linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
    linewidth or lw: float
    marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`
    markeredgecolor or mec: :mpltype:`color`
    markeredgewidth or mew: float
    markerfacecolor or mfc: :mpltype:`color`
    markerfacecoloralt or mfcalt: :mpltype:`color`
    markersize or ms: float
    markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
    mouseover: bool
    path_effects: list of `.AbstractPathEffect`
    picker: float or callable[[Artist, Event], tuple[bool, dict]]
    pickradius: float
    rasterized: bool
    sketch_params: (scale: float, length: float, randomness: float)
    snap: bool or None
    solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
    solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
    transform: unknown
    url: str
    visible: bool
    xdata: 1D array
    ydata: 1D array
    zorder: float

See Also
--------
matplotlib.dates : Helper functions on dates.
matplotlib.dates.date2num : Convert dates to num.
matplotlib.dates.num2date : Convert num to dates.
matplotlib.dates.drange : Create an equally spaced sequence of dates.

Notes
-----

.. note::

    This is the :ref:`pyplot wrapper <pyplot_interface>` for `.axes.Axes.plot_date`.

If you are using custom date tickers and formatters, it may be
necessary to set the formatters/locators after the call to
`.plot_date`. `.plot_date` will set the default tick locator to
`.AutoDateLocator` (if the tick locator is not already set to a
`.DateLocator` instance) and the default tick formatter to
`.AutoDateFormatter` (if the tick formatter is not already set to a
`.DateFormatter` instance).

.. deprecated:: 3.9
   Use plot instead.

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