## Question

Asked By – Karnivaurus

Using Matplotlib, I want to plot a 2D heat map. My data is an n-by-n Numpy array, each with a value between 0 and 1. So for the (i, j) element of this array, I want to plot a square at the (i, j) coordinate in my heat map, whose color is proportional to the element’s value in the array.

How can I do this?

**Now we will see solution for issue: Plotting a 2D heatmap with Matplotlib **

## Answer

The `imshow()`

function with parameters `interpolation='nearest'`

and `cmap='hot'`

should do what you want.

```
import matplotlib.pyplot as plt
import numpy as np
a = np.random.random((16, 16))
plt.imshow(a, cmap='hot', interpolation='nearest')
plt.show()
```

This question is answered By – P. Camilleri

**This answer is collected from stackoverflow and reviewed by FixPython community admins, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 **