matplotlib.axes.Axes.plot_date#

Axes.plot_date(x, y, fmt='o', tz=None, xdate=True, ydate=False, *, data=None, **kwargs)[source]#

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

Deprecated since version 3.9: This method exists for historic reasons and will be removed in version 3.11.

datetime-like data should directly be plotted using plot.
If you need to plot plain numeric data as Matplotlib date format or need to set a timezone, call ax.xaxis.axis_date / ax.yaxis.axis_date before 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, yarray-like: The coordinates of the data points. If xdate or ydate is True, the respective values x or y are interpreted as Matplotlib dates.
fmtstr, optional: The plot format string. For details, see the corresponding parameter in plot.
tztimezone string or datetime.tzinfo, default: rcParams["timezone"] (default: 'UTC'): The time zone to use in labeling dates.
xdatebool, default: True: If True, the x-axis will be interpreted as Matplotlib dates.
ydatebool, default: False: If True, the y-axis will be interpreted as Matplotlib dates.

Returns:

list of Line2D: Objects representing the plotted data.

Other Parameters:

dataindexable 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:

Property	Description
`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`	float or None
`animated`	bool
`antialiased` or `aa`	bool
`clip_box`	`BboxBase` or None
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`color` or `c`	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`	`Figure` or `SubFigure`
`fillstyle`	{'full', 'left', 'right', 'bottom', 'top', 'none'}
`gapcolor`	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` or `MarkerStyle`
`markeredgecolor` or `mec`	color
`markeredgewidth` or `mew`	float
`markerfacecolor` or `mfc`	color
`markerfacecoloralt` or `mfcalt`	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