Numpy Exercise 1

Imports



In [1]:

    
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns



In [2]:

    
import antipackage
import github.ellisonbg.misc.vizarray as va









    



Downloading:  https://raw.githubusercontent.com/ellisonbg/misc/master/vizarray.py
Using existing version:  github.ellisonbg.misc.vizarray

Checkerboard

Write a Python function that creates a square (size,size) 2d Numpy array with the values 0.0 and 1.0:

Your function should work for both odd and even size.
The 0,0 element should be 1.0.
The dtype should be float.



In [3]:

    
def checkerboard(size):
    """Return a 2d checkboard of 0.0 and 1.0 as a NumPy array"""
    row1 = [(x % 2) for x in range(1, size+1)]
    row2 = [(x % 2) for x in range(size)]
    board = [row1, row2]
    if size > 3:
        for i in range(2,size):
            if (i % 2 == 0):
                board.append(row1)
            else:
                board.append(row2)
    return np.array(board, dtype=float)
    #raise NotImplementedError()
    
assert checkerboard(8).ndim == 2



In [4]:

    
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.



In [5]:

    
va.enable()
va.set_block_size(10)
checkerboard(20)
#raise NotImplementedError()









    Out[5]:



In [6]:

    
assert True

Use vizarray to visualize a checkerboard of size=27 with a block size of 5px.



In [7]:

    
va.enable()
va.set_block_size(5)
checkerboard(27)
#raise NotImplementedError()









    Out[7]:



In [8]:

    
assert True