如何绘制例如的x-y网格用从数组读取的颜色平方

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.collections import PatchCollection
import matplotlib.patches as mpatches

fig = plt.figure(figsize=(9,5))
ax = plt.axes([0.1,0.1,0.7,0.7])
cmap = matplotlib.cm.jet
patches = []

data=np.array([4.5,8.6,2.4,9.6,11.3])
data_id_nos=np.array([5,6,9,8,7])
x_coords=np.array([3.12,2.6,2.08,1.56,1.04])
y_coords=np.array([6.76,6.24,5.72,5.20,4.68])
coord_id_nos=np.array([7,9,6,5,8])    

for i in range(len(data_id_nos)):
        coords=(x_coords[np.where(coord_id_nos == data_id_nos[i])],y_coords[np.where(coord_id_nos == data_id_nos[i])])
        art = mpatches.Rectangle(coords,0.50,0.50,ec=\"none\")
        patches.append(art)

#create collection of patches for IFU position
IFU1 = PatchCollection(patches, cmap=cmap)
#set the colours = data values
IFU1.set_array(np.array(data))
ax.add_collection(IFU1)
plt.axis(\'scaled\')
plt.xlabel(\'x (arcsecs)\')
plt.ylabel(\'y (arcsecs)\')

x = np.arange(10)
y = np.arange(10)
z = np.zeros([10,10])
z[1,5] = 10
z[2,7] = 20
z[3,9] = 30
pcolor(x,y,z)