Reputation: 8164
This is what I have tried so far
import itertools
import numpy as np
import matplotlib.pyplot as plt
with open('base.txt','r') as f:
vst = map(int, itertools.imap(float, f))
v1=vst[::3]
print type(v1)
a=np.asarray(v1)
print len(a)
a11=a.reshape(50,100)
plt.imshow(a11, cmap='hot')
plt.colorbar()
plt.show()
I have (50,100) array and each element has numerical value(range 1200-5400).I would like to have image that would represent array.But I got this
What should I change to get proper image?
Upvotes: 3
Views: 19882
Reputation: 11453
I don't have data from base.txt
.
However, in order to simulate your problem, I created random numbers between 1500 to 5500
and created a 50 x 100 numpy array
, which I believe is close to your data and requirement.
Then I simply plotted the data as per your plot code. I am getting true representation of the array. See if this helps.
Demo Code
#import itertools
import numpy as np
from numpy import array
import matplotlib.pyplot as plt
import random
#Generate a list of 5000 int between 1200,5500
M = 5000
myList = [random.randrange(1200,5500) for i in xrange(0,M)]
#Convert to 50 x 100 list
n = 50
newList = [myList[i:i+n] for i in range(0, len(myList), n)]
#Convert to 50 x 100 numpy array
nArray = array(newList)
print nArray
a11=nArray.reshape(50,100)
plt.imshow(a11, cmap='hot')
plt.colorbar()
plt.show()
Upvotes: 9