In Python use the two arrays, X and Y, given below to create A_99 using numpy array math rather than a for-loop. Then calculate the standard deviation of A_99 and create a filled contour plot of X, Y, A_99.
# given X and Y arrays
X,Y = np.meshgrid(np.arange(0,10),np.arange(0,10))
A_99 = np.array(())
Points to consider:
1. First, we need to find the standard deviation of the numbers
in the array.
2. Then we need to find the contour plot.
Code
import numpy as np
import matplotlib.pyplot as plt
# given X and Y arrays
X, Y = np.meshgrid(np.arange(0,10),np.arange(0,10))
A_99 = np.array((X, Y))
print(A_99)
print("The Standard Deviation: " + str(np.std(A_99)))
Z = np.sqrt(X**2 + Y**2)
cp = plt.contourf(X, Y, Z)
plt.colorbar(cp)
plt.show()
Code Snippet

Output


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In Python use the two arrays, X and Y, given below to create A_99 using numpy...
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code that I started:
# THIS IS NEEDED TO USE ARRAYS IN PYTHON:
from array import *
# THIS IS NEEDED TO MAKE PLOTS IN PYTHON:
import matplotlib.pyplot as plt
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from numpy import zeros
# THIS COMMAND CREATES AN ARRAY OF ZEROS WITH DESIRED SHAPE:
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newV=zeros([31,21])
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please use python thanks will rate!!
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