maryandjesse Have you seen the scatterplot matrix in this note?
If you wanted a 2D Histogram as defined by MatPlotLib here, you could do something like this:
import matplotlib.pyplot as plt
import numpy as np
#get channel data
Ti49 = data.timeSeries("Ti49_ppm").data()
Ni60 = data.timeSeries("Ni60_ppm").data()
#Remove data gaps:
Ti49 = Ti49[~np.isnan(Ti49)]
Ni60 = Ni60[~np.isnan(Ni60)]
plt.hist2d(Ti49, Ni60)
plt.show()
As you can see above, you can simply use a normal import statement (1st line above) to use MatPlotLib in your code. You could copy and paste the code above into the Python Workspace and run it (as long as you have Ti49_ppm and Ni60_ppm channels).