How To Specify Colorbar Range And Keep It Regardless Of Plotting Values

I typed this up last night then as I was about to submit it I figured it out. Submitting in case anyone else needs it. I am plotting meteorological values for every hour for multip

Solution 1:

The issue was in my contour() and contourf(). Prior I was passing a 10 within the function.

bm.contour(x, y, to_np(energyproduction), 10, colors="black",vmin=0,vmax=10.0)
bm.contourf(x, y, to_np(energyproduction), 10,cmap = get_cmap('jet'),vmin=0,vmax=10.0)

The 10 designation means that there are 10 steps between the min and max value of the plot. So if there are only values of 0-1 you will get .1 increments of plotting contours etc.

Be removing 10 and seeing it to cbarticks, I was able to get the same colorbar values for each plot regardless of the values.

for file in files:
     ncfile = Dataset(file)
     cbarticks=np.arange(0.0,10.0,0.5)
     bm.contour(x, y, to_np(energyproduction), cbarticks, colors="black",vmin=0,vmax=10.0)
     bm.contourf(x, y, to_np(energyproduction), cbarticks, cmap = get_cmap('jet'),vmin=0,vmax=10.0)
     plt.colorbar(shrink=.62,ticks=cbarticks)
     plt.show()

I believe this is the same designation of "levels" within basemap contour.