In [1]:

    

# %load_ext asmarkdown


    

In [2]:

    

%%asmarkdown
print '''
* what does this do?
* what does that do?
'''


    

    






what does this do?
what does that do?

In [3]:

    

nwalks = 5000
nsteps = 1000
draws = np.random.randint(0, 2, size=(nwalks, nsteps)) * 2 - 1
draws


    

    
Out[3]:





array([[-1,  1,  1, ...,  1, -1,  1],
       [ 1, -1, -1, ...,  1,  1,  1],
       [ 1,  1, -1, ..., -1, -1, -1],
       ..., 
       [ 1,  1,  1, ..., -1,  1,  1],
       [ 1, -1, -1, ...,  1,  1,  1],
       [ 1,  1, -1, ...,  1,  1,  1]])

In [14]:

    

walk = np.cumsum(draws, 1)
walk


    

    
Out[14]:





array([[ -1,   0,   1, ...,  34,  33,  34],
       [  1,   0,  -1, ..., -46, -45, -44],
       [  1,   2,   1, ..., -14, -15, -16],
       ..., 
       [  1,   2,   3, ...,   2,   3,   4],
       [  1,   0,  -1, ..., -16, -15, -14],
       [  1,   2,   1, ...,   4,   5,   6]])

In [25]:

    

x = np.arange(0, nsteps)
for i in range(0,10):
    plt.plot(x, walk[i])


    

In [5]:

    

import matplotlib.image as mpimg


    

In [6]:

    

img=mpimg.imread('stinkbug.png')


    

In [7]:

    

imgplot = plt.imshow(img)


    

In [8]:

    

lum_img = img[:,:,0]
imgplot = plt.imshow(lum_img)


    

In [9]:

    

plt.imshow(lum_img, cmap="hot")
plt.colorbar()


    

    
Out[9]:





<matplotlib.colorbar.Colorbar at 0x1140b1250>






    

In [10]:

    

data = plt.hist(lum_img.ravel(), bins=256, range=(0.0, 1.0), fc='k', ec='k')


    

In [11]:

    

imgplot = plt.imshow(lum_img, clim=(0.0, 0.7))