Axes.loglog(*args, **kwargs)¶Make a plot with log scaling on both the x and y axis.
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:
Property Description agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alphafloat (0.0 transparent through 1.0 opaque) animatedbool antialiasedor aa[True | False] clip_boxa Bboxinstanceclip_onbool clip_path[( Path,Transform) |Patch| None]coloror cany matplotlib color containsa callable function dash_capstyle[‘butt’ | ‘round’ | ‘projecting’] dash_joinstyle[‘miter’ | ‘round’ | ‘bevel’] dashessequence of on/off ink in points drawstyle[‘default’ | ‘steps’ | ‘steps-pre’ | ‘steps-mid’ | ‘steps-post’] figurea Figureinstancefillstyle[‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’] gidan id string labelobject linestyleor ls[‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | '-'|'--'|'-.'|':'|'None'|' '|'']linewidthor lwfloat value in points markerA valid marker stylemarkeredgecoloror mecany matplotlib color markeredgewidthor mewfloat value in points markerfacecoloror mfcany matplotlib color markerfacecoloraltor mfcaltany matplotlib color markersizeor msfloat markevery[None | int | length-2 tuple of int | slice | list/array of int | float | length-2 tuple of float] path_effectsAbstractPathEffectpickerfloat distance in points or callable pick function fn(artist, event)pickradiusfloat distance in points rasterizedbool or None sketch_params(scale: float, length: float, randomness: float) snapbool or None solid_capstyle[‘butt’ | ‘round’ | ‘projecting’] solid_joinstyle[‘miter’ | ‘round’ | ‘bevel’] transforma matplotlib.transforms.Transforminstanceurla url string visiblebool xdata1D array ydata1D array zorderfloat