user1419224 - 1 year ago 119

Python Question

the np.array that results from this loop has 4383 lines and 6 columns. I have tried without success to use pylab.imshow () from matplotlib(pylab) to display the array. The objective is to creat an image of the array, in wich the colors gradient represent the magnitude of the array values.

Each row of the array represents the variation in depth of a lake temperature in each day (4383 days). Thus the objective is to find diferences in lake temperatures in depth and with time. Thank you

`TempLake=np.zeros((N+1,Nlayers))`

TempLake[0]=T0

Q=np.zeros(N+1)

Q[0]=0.0

for i in xrange(N):

Q[i+1]=Qn(HSR[i],TD[i],FW[i],TempLake[i][0])

TempLake[i+1]=main_loop(Z,z,Areat0,Areat1,TempLake[i],wind[i],Q[i],Q[i+1])

np.savetxt('test.out', TempLake, delimiter=',')

np.savetxt('test1.out', Q, delimiter=',')

pylab.imshow(TempLake)

pylab.show()

Recommended for you: Get network issues from **WhatsUp Gold**. **Not end users.**

Answer Source

You can use `imshow`

as follows:

```
import pylab as plt
import numpy as np
Z=np.array(((1,2,3,4,5),(4,5,6,7,8),(7,8,9,10,11)))
im = plt.imshow(Z, cmap='hot')
plt.colorbar(im, orientation='horizontal')
plt.show()
```

In your case can you check the output of `TempLake`

.

Recommended from our users: **Dynamic Network Monitoring from WhatsUp Gold from IPSwitch**. ** Free Download**