import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm

data = np.genfromtxt('small_dataset.csv', delimiter=',',usecols=(0,1,2),names=['y','x','z'])

plt.xlabel('Longitude')
plt.ylabel('Latitude')

x = data['x']
y = data['y']
z = data['z']

overlay_data = np.genfromtxt('signal_cells.csv', delimiter=',',usecols=(0),names=['rss'])
nrows, ncols = 110,29
image = np.zeros(nrows*ncols)
for row in range(0,nrows-1):
    for column in range(0,ncols-1):
        image[row:column] = overlay_data[row*ncols+column]

image = image.reshape((nrows, ncols))

fig, ax = plt.subplots()
ax.scatter(x,y,c=z, alpha=0.5,cmap=cm.gray)
#ax.imshow(image,cmap=cm.jet,interpolation='none')
#ax.colorbar(label='RSS [dBm]')
plt.show()
#plt.savefig('small_dataset_reduced.png', format='png')