import numpy as np
from matplotlib import pyplot as plt


row,col,data=np.loadtxt("noisyimage.txt",unpack=True)
rsize = int(max(row))
csize = int(max(col))
data=np.array(data).reshape(rsize,csize)
plt.imshow(data, interpolation='None',cmap=plt.cm.Greys_r)
plt.show()
e2aa5d053179bd75e718212598d5aa67a30ce7a9
<mask token>

<mask token>
plt.imshow(data, interpolation='None', cmap=plt.cm.Greys_r)
plt.show()

<mask token>
row, col, data = np.loadtxt('noisyimage.txt', unpack=True)
rsize = int(max(row))
csize = int(max(col))
data = np.array(data).reshape(rsize, csize)
plt.imshow(data, interpolation='None', cmap=plt.cm.Greys_r)
plt.show()

import numpy as np
from matplotlib import pyplot as plt
row, col, data = np.loadtxt('noisyimage.txt', unpack=True)
rsize = int(max(row))
csize = int(max(col))
data = np.array(data).reshape(rsize, csize)
plt.imshow(data, interpolation='None', cmap=plt.cm.Greys_r)
plt.show()

import numpy as np
from matplotlib import pyplot as plt


row,col,data=np.loadtxt("noisyimage.txt",unpack=True)
rsize = int(max(row))
csize = int(max(col))
data=np.array(data).reshape(rsize,csize)
plt.imshow(data, interpolation='None',cmap=plt.cm.Greys_r)
plt.show()