2D map from .xyz file

Question

I'm a Python beginner and would like to create a 2D map from data in a .xyz file as shown below :

...
13 0 -0.11298451 
14 0 -0.10656391 
15 0 Nodata 
16 0 Nodata 
17 0 Nodata 
....

The first column is x, the second y, and the third z.
Each time there is data in the third column I would like to set a black pixel, and each time there is Nodata a white pixel. At the end, I would like to get a map as shown in the figure below with x and y axis.

Could someone advise how to start? I have started to write a small code but I have no idea how to continue
Many thanks for your help!

fig = plt.figure()
ax = fig.add_subplot(111)
x = pd.read_csv('path/data.txt',sep=' ',usecols=[0], header=None)
y = pd.read_csv('path/data.txt',sep=' ',usecols=[1], header=None)
z = pd.read_csv('path/data.txt',sep=' ',usecols=[2], header=None)
X,Y=np.meshgrid(x,y)

Answer 1

We can load this file into a numpy array using np.genfromtxt and create a 0-1 mask from it:

import numpy as np
import matplotlib.pyplot as plt

#load data into numpy array
my_data = np.genfromtxt("Essais1.prn")
#extract z-data and reshape into form x * y
z=my_data[:, 2].reshape(np.unique(my_data[:, 1]).size, np.unique(my_data[:, 0]).size)

#set NaN values to 0, everything else to 1
mask = np.where(np.isnan(z), 0, 1)

#display the mask with grayscale colormap
plt.imshow(mask, cmap="Greys", origin="lower")
#plt.axis("off")
plt.show()

Sample output: