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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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numpy/mesh_grid/README.md
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@ -47,3 +47,43 @@ plt.show()
![image0](image0.png)
![image1](image1.png)
An example:
```python
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 1, 100)
y = np.linspace(0, 1, 100)
xv, yv = np.meshgrid(x, y)
a = np.sin(xv * 2 * np.pi) * np.sin(yv * 8 * np.pi)
plt.imshow(a, cmap="hot")
plt.xlabel("x axis")
plt.ylabel("y axis")
plt.show()
```
![image2](image2.png)
**The question is if you really need a mesh or if just using broadcasting can do the job too.** I guess this depends on your need.
```python
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 1, 100)[np.newaxis, :]
y = np.linspace(0, 1, 100)[:, np.newaxis]
a = np.sin(x * 2 * np.pi) * np.sin(y * 8 * np.pi)
plt.imshow(a, cmap="hot")
plt.xlabel("x axis")
plt.ylabel("y axis")
plt.show()
```
![image3](image3.png)