In this tutorial, we’ll try to understand how to plot a quiver plot in Python with the help of some examples.

### What is a Quiver plot?

A quiver plot is basically a type of 2D plot which shows vector lines as arrows. These types of plots are used by Electrical engineers to visualize electrical potential and show stress gradients in Mechanical engineering.

We can plot a quiver plot in Python using `axes.quiver`

method in matplotlib.

## Quiver Plot using `matpltolib.Axes.quiver()`

method

We can plot a Quiver plot in Python using the `Axes.quiver`

method within the matplotlib module. The following is the syntax –

**Basic Syntax:**

axes.quiver([x, y], u, v, [c], **kwargs)

**Parameters:**

**x:**1D or 2D array, sequence. The x coordinates of the arrow locations**y:**1D or 2D array, sequence. The y coordinates of the arrow locations**u:**1D or 2D array, sequence. The x components of the arrow vectors**v:**1D or 2D array, sequence. The y components of the arrow vectors**c:**1D or 2D array, sequence. The arrow colors

For more details, about the parameters, refer this.

Now let us try to understand the above method using some examples.

### Example 1 – Quiver plot with a single arrow

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes fig, ax = plt.subplots() #defining the parameters x = 0 y = 0 u = 1 v = 1 #plotting the Quiver plot ax.quiver(x,y,u,v) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- create a figure and axes using
`pyplot.subplots`

(refer this). - Define the parameters
- Plot the Quiver plot using
`axes.quiver`

method (refer this).

### Example 2 – Quiver plot with two arrows

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes fig, ax = plt.subplots() #defining the parameters x = [0, -0.5] y = [0, 0.5] u = [1, 0] v = [1, -1] #plotting the Quiver plot ax.quiver(x,y,u,v) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- create a figure and axes using
`pyplot.subplots`

(refer this). - Define the parameters
- Plot the Quiver plot using
`axes.quiver`

method (refer this).

### Example 3 – Quiver plot using a meshgrid

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes fig, ax = plt.subplots() #defining the parameters X = np.arange(0,2.2,0.2) Y = np.arange(0,2.2,0.2) x, y = np.meshgrid(X, Y) u = np.cos(x)*y v = np.sin(y)*y #plotting the Quiver plot ax.quiver(x,y,u,v) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- create a figure and axes using
`pyplot.subplots`

- Define the parameters
- Plot the Quiver plot using
`axes.quiver`

method.

### Example 4 – Quiver plot along with gradient

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes fig, ax = plt.subplots() #defining the parameters x = np.arange(-2,2.2,0.2) y = np.arange(-2,2.2,0.2) X, Y = np.meshgrid(x, y) z = X*np.exp(-X**2 -Y**2) dx, dy = np.gradient(z) #plotting the Quiver plot ax.quiver(x,y,dx,dy) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- create a figure and axes using
`pyplot.subplots`

- Define the parameters
- generate X,Y values using
`numpy.arange`

generate a meshgrid using`numpy.meshgrid`

Then create the respective dx and dy values using`numpy.gradient`

(refer this)

- generate X,Y values using
- Plot the Quiver plot using
`axes.quiver`

method

### Example 5 – Quiver plot along with four vortices

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes fig, ax = plt.subplots() #defining the parameters x = np.arange(0,2*np.pi+2*np.pi/20,2*np.pi/20) y = np.arange(0,2*np.pi+2*np.pi/20,2*np.pi/20) X,Y = np.meshgrid(x,y) u = np.sin(X)*np.cos(Y) v = -np.cos(X)*np.sin(Y) #plotting the Quiver plot ax.quiver(x,y,u,v) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- create a figure and axes using
`pyplot.subplots`

- Define the parameters
- generate X,Y values using
`numpy.arange`

generate a meshgrid using`numpy.meshgrid`

Then create the respective u and v values.

- generate X,Y values using
- Plot the Quiver plot using
`axes.quiver`

method

### Example 5 – Quiver plot with colour

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes fig, ax = plt.subplots() #defining the parameters x = np.arange(0,2.2,0.2) y = np.arange(0,2.2,0.2) X, Y = np.meshgrid(x, y) u = np.cos(X)*Y v = np.sin(y)*Y n = -2 color_array = np.sqrt(((v-n)/2)**2 + ((u-n)/2)**2) #plotting the Quiver plot ax.quiver(x,y,u,v, color_array, alpha=0.8) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- create a figure and axes using
`pyplot.subplots`

- Define the parameters
- generate X,Y values using
`numpy.arange`

generate a meshgrid using`numpy.meshgrid`

Then create the respective u and v values

- generate X,Y values using
- Plot the Quiver plot using
`axes.quiver`

method by adding a color array for colours.

### Example 7 – Quiver plot in 3D

import matplotlib.pyplot as plt import numpy as np #generating the figure and axes ax = plt.figure().add_subplot(projection='3d') #defining the parameters X = np.arange(-0.8, 1, 0.2) Y = np.arange(-0.8, 1, 0.2) Z = np.arange(-0.8, 1, 0.8) x, y, z = np.meshgrid(X,Y,Z) u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z) v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z) w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) * np.sin(np.pi * z)) #plotting the Quiver plot ax.quiver(x, y, z, u, v, w, length=0.1, normalize=True) plt.show()

Output:

The steps followed in the above examples are:

- Import the modules
- Create an axes using
`pyplot.figure.add_subplot(projection='3d')`

for the 3D plot. - Define the parameters
- generate X,Y,Z values using
`numpy.arange`

generate a meshgrid using`numpy.meshgrid`

Then create the respective u,v and w values.

- generate X,Y,Z values using
- Plot the Quiver plot using
`axes.quiver`

method

You might also be interested in –

- How to Create Heatmaps in Python?
- How to Plot Histograms by Group in Pandas
- How to Create a Contour Plot in Matplotlib

**Subscribe to our newsletter for more informative guides and tutorials. ****We do not spam and you can opt out any time.**