lut(cc=None, nanc=None)
lut(cc) where cc is Nx3 sets a new lookup table for imsc.
lut(cc, nanc) where nanc is a 3-tuple sets a special color to use for NaN values. (The default is white.)
cc must contain rgb values in the range 0 to 1, or, if of type uint8, in the range 0 to 255.
If you have Matplotlib installed, cc may also be a Matplotlib Colormap, e.g., from matplotlib.pyplot.cm.get_cmap(). See also https://matplotlib.org/stable/tutorials/colors/colormaps.html.
lut, nanc = lut() returns current values.
import qplot as qp
import numpy as np
import matplotlib.pyplot as plt
qp.figure('lut', 3, 3)
xx = np.linspace(0, 2*np.pi, 101)
xx = np.tile(xx, (len(xx), 1))
yy = np.transpose(xx)
zz = np.cos(xx)+np.sin(yy)
qp.subplot(2,2,0)
qp.imsc(zz)
qp.cbar()
qp.shrink(5)
qp.subplot(2,2,1)
qp.lut(qp.luts.get('qphsv'))
qp.imsc(zz)
qp.cbar()
qp.shrink(5)
qp.subplot(2,2,2)
qp.lut(qp.luts.get('qpcoldhot'))
qp.imsc(zz)
qp.cbar()
qp.shrink(5)
qp.subplot(2,2,3)
qp.lut(plt.cm.get_cmap('rainbow', 256))
qp.imsc(zz)
qp.cbar()
qp.shrink(5)