healpy.projaxes.GnomonicAxes.loglog

GnomonicAxes.loglog(*args, **kwargs)

Make a plot with log scaling on both the x and y axis.

Call signature:

loglog(*args, **kwargs)

loglog() supports all the keyword arguments of plot() and matplotlib.axes.Axes.set_xscale() / matplotlib.axes.Axes.set_yscale().

Notable keyword arguments:

basex/basey: scalar > 1

Base of the x/y logarithm

subsx/subsy: [ None | sequence ]

The location of the minor x/y ticks; None defaults to autosubs, which depend on the number of decades in the plot; see matplotlib.axes.Axes.set_xscale() / matplotlib.axes.Axes.set_yscale() for details

nonposx/nonposy: [‘mask’ | ‘clip’ ]

Non-positive values in x or y can be masked as invalid, or clipped to a very small positive number

The remaining 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

Example: