Menu
I have data in X, Y, Z format where all are 1D arrays, and Z is the amplitude of the measurement at coordinate (X,Y). I'd like to show this data as a contour or 'imshow' plot where the contours/color represent the the value Z (amplitude).
The grid for measurements and X and Y look are irregularly spaced.
Many thanks,
len(X)=100
len(Y)=100
len(Z)=100
827
To plot 3D contour we will use countour3() to plot different types of 3D modules. Syntax: contour3(X,Y,Z): Specifies the x and y coordinates for the values in Z. contour3(Z): Creates a 3-D contour plot containing the isolines of matrix Z, where Z contains height values on the x-y plane.
contour() and contourf() draw contour lines and filled contours, respectively. Except as noted, function signatures and return values are the same for both versions. contourf() differs from the MATLAB version in that it does not draw the polygon edges. To draw edges, add line contours with calls to contour() .
Contour plots (sometimes called Level Plots) are a way to show a three-dimensional surface on a two-dimensional plane. It graphs two predictor variables X Y on the y-axis and a response variable Z as contours. These contours are sometimes called z-slices or iso-response values.
A contour plot is a graphical technique for representing a 3-dimensional surface by plotting constant z slices, called contours, on a 2-dimensional format. That is, given a value for z, lines are drawn for connecting the (x,y) coordinates where that z value occurs.
Does plt.tricontourf(x,y,z) satisfy your requirements?
It will plot filled contours for irregularly spaced data (non-rectilinear grid).
You might also want to look into plt.tripcolor().
import numpy as np import matplotlib.pyplot as plt x = np.random.rand(100) y = np.random.rand(100) z = np.sin(x)+np.cos(y) f, ax = plt.subplots(1,2, sharex=True, sharey=True) ax[0].tripcolor(x,y,z) ax[1].tricontourf(x,y,z, 20) # choose 20 contour levels, just to show how good its interpolation is ax[1].plot(x,y, 'ko ') ax[0].plot(x,y, 'ko ') plt.savefig('test.png') 
65
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
