Values below low_in are clipped to low_out and values above high_in are clipped to high_out. Values for low_in, high_in, low_out, and high_out must be between 0 and 1. The label keyword to a contouring command (e.g.To use Gamma Transformation, use MATLAB function called imadjust. Legend labels can be assigned to ContourSets by passing Using the labels keyword (e.g., labels=). Legend labels can be assigned for each column of a The following core features are unique to proplot: вЂњhandleвЂќ list and the second is the вЂњlabelвЂќ list). Passing two positional arguments to legend (where the first argument is the The label keyword (e.g., ax.plot(., label='label')) or on-the-fly by Legend labels can be assigned early by calling plotting comamnds with The following coreД¬alling legend without positional arguments willДЄutomatically fill the legend with the labeled artist in the Somewhat more flexible than their matplotlib counterparts. format ( suptitle = 'Colorbar formatting demo', xlabel = 'xlabel', ylabel = 'ylabel', titleabove = False ) colorbar ( m, loc = 'ul', length = 6, # length is em widths label = 'inset colorbar', tickminor = True, alpha = 0.5, ) fig. colorbar ( m, loc = 'r', length = 1, # length is relative label = 'interior ticks', tickloc = 'left' ) ax. T, extend = 'both', cmap = 'algae', levels = pplt. arange ( 0, 10 ), label = 'line colorbar', ticks = 2 ) # Colorbars from a mappable ax = fig. plot ( # add all at once data, lw = 2, cycle = 'Reds1', cycle_kw = ) ax. subplot ( 121, title = 'On-the-fly legend' ) ax. figure ( share = 0, refwidth = 2.3, suptitle = 'On-the-fly colorbar and legend demo' ) # Legends data = ( state. Import proplot as pplt labels = list ( 'xyzpq' ) state = np. format ( abc = True, xlabel = 'xlabel', ylabel = 'ylabel', suptitle = 'Colorbar and legend location demo' ) legend ( hs, list ( 'jklmn' ), loc = 'r', ncols = 1, frame = False ) # manually override labels fig. legend ( hs, loc = 't', ncols = 5, frame = False ) # automatically infer labels from handles ax. legend ( loc = 'll', label = 'legend label' ) # automatically infer handles and labels ax.

plot ( data, lw = 3, cycle = 'ggplot', labels = list ( 'abcde' )) ax. subplot ( 122, title = 'Axes legends', titlepad = '0em' ) data = ( state. colorbar ( m, loc = 'll', label = 'colorbar label' ) # inset colorbar demonstration # Legends ax = fig. colorbar ( m, loc = 't' ) # title is automatically adjusted ax.

subplot ( 121, title = 'Axes colorbars' ) data = state. figure ( share = False, refwidth = 2.3 ) # Colorbars ax = fig. Import proplot as pplt import numpy as np state = np. The below example shows a variety of arrangements of вЂњouterвЂќ and вЂњinsetвЂќ (or, for вЂњinsetвЂќ locations, the padding between the subplot edge and the inset frame). Tight layout padding relative to the subplotвЂ™s tick and axis labels вЂњouterвЂќ colorbar or legend from the parent subplot edge and pad controls the space controls the absolute separation of the InsetД¬olorbars have optional background вЂњframesвЂќ that can be configured (e.g., loc='upper right' or the shorthand loc='ur'). Proplot adds the axes command ,ДЄnalogous to and equivalent toД¬alling with an ax keyword.Д¬olorbar can draw both вЂњouterвЂќ colorbars when you requestДЄ side location (e.g., loc='right' or the shorthand loc='r') and вЂњinsetвЂќД¬olorbars when you request an inset location Unlike usingД«box_to_anchor, the вЂњouterвЂќ legend position is adjusted automatically when the Or colorbars on one side, they are вЂњstackedвЂќ on top of each other. (e.g., loc='right' or the shorthand loc='r'). Legends along a subplot edge when you request a side location Location (e.g., loc='upper right' or the shorthand loc='ur') and вЂњouterвЂќ can draw both вЂњinsetвЂќ legends when you request an inset Posssible using the somewhat opaque bbox_to_anchor keyword (see here)ДЄnd вЂњinsetвЂќ colorbars are not possible without manually creating and positioning Matplotlib supports drawing вЂњinsetвЂќ legends and вЂњouterвЂќ colorbars using the locДЄnd location keyword arguments.

Matlab 2012 colorbar title