Creating a colored Contour Plot

[Metwx87]

This is a homework problem
1. WCT is a function of two variables (T and wind speed). Perform a bivariate sensitivityanalysis.a. Plot filled contours of WCT as a function of T (from -40 deg. F to +40 deg. F) and wind speed (from 0 to 60 mph). Choose an appropriate colormap. 

I have this so far but its not working. 

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import matplotlib.pyplot as plt import numpy as np   xlist=np.linspace(-40,40,1) ylist=np.linspace(0,60,61)   (x,y) = np.meshgrid(xlist,ylist)   for value in (x,y):           z=(35.74+(.6215*x)-(35.75*(y**.16))+(.3965*x*(y**.16)))   plt.figure()   cp=plt.contourf(x,y,z) plt.xlabel('Degrees F') plt.ylabel('Wind Speed (mph)') plt.show()

When I run this I get a plot with the axis labeled but nothing in the middle

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The formula for wind chill temperature (WCT) is found at https://en.wikipedia.org/wiki/Wind_chill...hill_index using the USA formula

[zivoni]

Your xlist (temperature) contains only one value, perhaps there should be something like

1	xlist=np.linspace(-40,40,81)

[Metwx87]

Wow..

[zivoni]

Morever, there is no need for a for loop in your code. As numpy operations are vectorized, simple statement z = (.... ) is enough.