How would I make a countour grid in python using matplotlib.pyplot
, where the grid is one colour where the z
variable is below zero and another when z
is equal to or larger than zero? I'm not very familiar with matplotlib
so if anyone can give me a simple way of doing this, that would be great.
So far I have:
x= np.arange(0,361)
y= np.arange(0,91)
X,Y = np.meshgrid(x,y)
area = funcarea(L,D,H,W,X,Y) #L,D,H and W are all constants defined elsewhere.
plt.figure()
plt.contourf(X,Y,area)
plt.show()
MatPlotLib with Python 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 the z-slices or the iso-response values.
Contour plots are widely used to visualize density, altitudes or heights of the mountain as well as in the meteorological department. Due to such wide usage matplotlib. pyplot provides a method contour to make it easy for us to draw contour plots.
You can do this using the levels
keyword in contourf.
import numpy as np
import matplotlib.pyplot as plt
fig, axs = plt.subplots(1,2)
x = np.linspace(0, 1, 100)
X, Y = np.meshgrid(x, x)
Z = np.sin(X)*np.sin(Y)
levels = np.linspace(-1, 1, 40)
zdata = np.sin(8*X)*np.sin(8*Y)
cs = axs[0].contourf(X, Y, zdata, levels=levels)
fig.colorbar(cs, ax=axs[0], format="%.2f")
cs = axs[1].contourf(X, Y, zdata, levels=[-1,0,1])
fig.colorbar(cs, ax=axs[1])
plt.show()
You can change the colors by choosing and different colormap; using vmin, vmax; etc.
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