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import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns
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import antipackage
import github.ellisonbg.misc.vizarray as va
Write a Python function that creates a square (size,size) 2d Numpy array with the values 0.0 and 1.0:
size.0,0 element should be 1.0.dtype should be float.
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def checkerboard(size): #I couldn't figure this out on my own. My partner helped me during pair-programming, as a result are codes are pretty much exactly alike, but I understand now how it works.
"""Return a 2d checkboard of 0.0 and 1.0 as a NumPy array"""
# YOUR CODE HERE (Late Assignment)
f = np.empty((size, size), dtype=np.float) #Creates NxN empty matrix
for i in range(size):
for j in range(size):
if (i+j)%2 == 0: #Goes element wise to see if the sum of the element components is\
f[i, j] = 1 #even or odd. If odd, it's given a value of 0, if even, 1.
else:
f[i, j]=0
return f
print checkerboard(10) #prints NxN matrix board
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a = checkerboard(4)
assert a[0,0]==1.0
assert a.sum()==8.0
assert a.dtype==np.dtype(float)
assert np.all(a[0,0:5:2]==1.0)
assert np.all(a[1,0:5:2]==0.0)
b = checkerboard(5)
assert b[0,0]==1.0
assert b.sum()==13.0
assert np.all(b.ravel()[0:26:2]==1.0)
assert np.all(b.ravel()[1:25:2]==0.0)
Use vizarray to visualize a checkerboard of size=20 with a block size of 10px.
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# YOUR CODE HERE
va.set_block_size(10)
va.vizarray(checkerboard(20))
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assert True
Use vizarray to visualize a checkerboard of size=27 with a block size of 5px.
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# YOUR CODE HERE
va.set_block_size(5)
va.vizarray(checkerboard(27))
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assert True
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