healpy.projaxes.HpxMollweideAxes.plot_date

HpxMollweideAxes.plot_date(x, y, fmt='bo', tz=None, xdate=True, ydate=False, **kwargs)

Plot with data with dates.

Call signature:

plot_date(x, y, fmt='bo', tz=None, xdate=True,
          ydate=False, **kwargs)

Similar to the plot() command, except the x or y (or both) data is considered to be dates, and the axis is labeled accordingly.

x and/or y can be a sequence of dates represented as float days since 0001-01-01 UTC.

Keyword arguments:

fmt: string
The plot format string.
tz: [ None | timezone string | tzinfo instance]
The time zone to use in labeling dates. If None, defaults to rc value.
xdate: [ True | False ]
If True, the x-axis will be labeled with dates.
ydate: [ False | True ]
If True, the y-axis will be labeled with dates.

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

Valid kwargs are Line2D properties:

agg_filter: unknown alpha: float (0.0 transparent through 1.0 opaque) animated: [True | False] antialiased or aa: [True | False] axes: an Axes instance clip_box: a matplotlib.transforms.Bbox instance clip_on: [True | False] clip_path: [ (Path, Transform) | 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 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: ['-' | '--' | '-.' | ':' | 'None' | ' ' | ''] and any drawstyle in combination with a linestyle, e.g., 'steps--'. linewidth or lw: float value in points lod: [True | False] marker: unknown 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 | integer | (startind, stride) path_effects: unknown picker: float distance in points or callable pick function fn(artist, event) pickradius: float distance in points rasterized: [True | False | None] sketch_params: unknown snap: unknown solid_capstyle: [‘butt’ | ‘round’ | ‘projecting’] solid_joinstyle: [‘miter’ | ‘round’ | ‘bevel’] transform: a matplotlib.transforms.Transform instance url: a url string visible: [True | False] xdata: 1D array ydata: 1D array zorder: any number

See also

dates for helper functions

date2num(), num2date() and drange() for help on creating the required floating point dates.