matplotlib.pyplot.plot_date¶

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

Plot data that contains dates.

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.

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:

Other Parameters:

**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
`alpha`	float or None
`animated`	bool
`antialiased` or aa	bool
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`color` or c	color
`contains`	unknown
`dash_capstyle`	{'butt', 'round', 'projecting'}
`dash_joinstyle`	{'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`
`fillstyle`	{'full', 'left', 'right', 'bottom', 'top', '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]
`path_effects`	`AbstractPathEffect`
`picker`	unknown
`pickradius`	float
`rasterized`	bool or None
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`solid_capstyle`	{'butt', 'round', 'projecting'}
`solid_joinstyle`	{'miter', 'round', 'bevel'}
`transform`	`matplotlib.transforms.Transform`
`url`	str
`visible`	bool
`xdata`	1D array
`ydata`	1D array
`zorder`	float

Examples using `matplotlib.pyplot.plot_date`¶