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To plot a surface with a texture map, you can follow these general steps:

1. Import the necessary libraries: You will need to import libraries such as matplotlib and numpy.

2. Define the surface: You can define the surface using numpy arrays that contain the x, y, and z coordinates of the surface.

3. Load the texture map: You can use a library like PIL or matplotlib.image to load an image file as a texture map.

4. Create a meshgrid: Create a meshgrid using the x and y coordinates of the surface.

5. Flatten the surface and texture map: Flatten the surface and texture map arrays to use them as input to the plotting function.

6. Plot the surface: Use the plotting function, such as matplotlib's plot_surface, to plot the surface. Use the texture map as the 'facecolors' parameter in the plotting function.

Here is an example code snippet to get you started: 

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm

# Define the surface
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(x, y)
Z = X**2 + Y**2

# Load the texture map
texture_map = plt.imread('texture_map.png')

# Create a meshgrid
xx, yy = np.meshgrid(x, y)

# Flatten the surface and texture map
z_flat = Z.flatten()
texture_map_flat = texture_map.reshape((texture_map.shape[0] * texture_map.shape[1], 3))

# Plot the surface
fig = plt.figure()
ax = fig.gca(projection='3d')
surf = ax.plot_surface(xx, yy, Z, facecolors=texture_map_flat, rstride=1, cstride=1)
plt.show()

In this example, we define a surface that is a paraboloid, load a texture map from an image file, create a meshgrid using the x and y coordinates, and use matplotlib's plot_surface function to plot the surface with the texture map applied.