To plot the **2D field of arrows**, we use the **Quiver plot** in the matplotlib library.

- This plot mainly helps in displaying the
**velocity vectors as arrows**having componentsat the points`(u,v)`

.`(x,y)`

- The Quiver plots are useful for
**Electrical engineers**to**visualize electrical potential**and for**Mechanical engineers**to**show stress gradients**.

## Creating Matplotlib Quiver Plot

In order to create a Quiver Plot the `ax.quiver()`

function is used.

The required **syntax** to use this function is as follows:

`ax.quiver(x_pos, y_pos, x_dir, y_dir, color) `

Following are the **parameters** of this function, which you can see above in the syntax:

**x_pos**and**y_pos**These two parameters of the function are used to indicate the**starting position of the arrows**.**x_dir**and**y_dir**These two parameters of the function are used to indicate the**directions of the arrows**.**color**This parameter is used to specify the**color**of the Quiver Plot.

Let us now dive into some examples related to this.

## Simple Quiver Plot Example:

In the example given below, we will cover how to plot a Quiver plot with a **single arrow**:

```
import numpy as np
import matplotlib.pyplot as plt
x_pos = 0
y_pos = 0
x_direct = 1
y_direct = 1
fig, ax = plt.subplots(figsize = (10, 7))
ax.quiver(x_pos, y_pos, x_direct, y_direct)
ax.set_title('Quiver plot with a single arrow')
plt.show()
```

Here is the output:

## Two Arrow Quiver Plot Example:

In the example given below, we will cover how to plot a Quiver plot with **two arrows**:

```
import numpy as np
import matplotlib.pyplot as plt
x_pos = [0, 0]
y_pos = [0, 0]
x_direct = [1, 0]
y_direct = [1, -1]
fig, ax = plt.subplots(figsize = (12, 7))
ax.quiver(x_pos, y_pos, x_direct, y_direct,scale = 8)
ax.axis([-1.5, 1.5, -1.5, 1.5])
plt.show()
```

Here is the output:

## Time for Live Example!

Now we will cover a live example where we will draw the Quiver plot using **meshgrid**: