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 ofplot()
andmatplotlib.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: anAxes
instance clip_box: amatplotlib.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: amatplotlib.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 functionfn(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: amatplotlib.transforms.Transform
instance url: a url string visible: [True | False] xdata: 1D array ydata: 1D array zorder: any numberExample: