In this tutorial, we will look at how to hide the axes in a matplotlib plot with the help of some examples.

You can use the following methods to hide one or more axes from a plot in matplotlib –

- If you want the hide both the axes (the x-axis and the y-axis) of a single matplotlib plot, use the
`matplolitb.pyplot.axis()`

function and pass ‘off’ as an argument. - To hide a specific axis, you can use the matplotlib axes object to get the respective axis using the
`.get_xaxis()`

or`.get_yaxis()`

function and set its visibility to`False`

using the`set_visible()`

function.

Let’s now look at some examples –

First, we will create a line plot that we will be using throughout this tutorial –

import matplotlib.pyplot as plt # x values - years x = [2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020] # y values - curde oil price per barrel in USD y = [94.88, 94.05, 97.98, 93.17, 48.66, 43.29, 50.80, 65.23, 56.99, 39.68] # plot x and y on a line plot plt.plot(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('Crude oil price USD/barrel')

Output:

## Example 1 – Hide both the axes in a matplotlib plot

To hide both the axes – the x-axis and the y-axis, use the `matplotlib.pyplot.axis()`

function and pass ‘off’ as an argument (it’s an argument to the `option`

parameter). This turns off the axis ticks and labels.

# plot x and y on a line plot plt.plot(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('Crude oil price USD/barrel') # turn off the axis plt.axis('off')

Output:

You can see that the axes are not present in the above-resulting plot.

## Example 2 – Hide only the y-axis

In case you only want to hide a specific axis (for example, the y-axis), you can use the respective axes object’s `get_yaxis()`

function and set its visibility to `False`

.

The steps would be –

- Get the axes object of the respective plot.
- Get the axis which you want to hide using the axes object’s
`get_xaxis()`

of the`get_yaxis()`

function. - Set the visibility of the above axis to
`False`

using the`set_visible()`

function.

# plot x and y on a line plot plt.plot(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('Crude oil price USD/barrel') # get the axes object ax = plt.gca() # hide the y-axis ax.get_yaxis().set_visible(False)

Output:

You can see that the y-axis ticks and labels have been removed.

## Example 3 – Hide only the x-axis

You can similarly hide only the x-axis –

# plot x and y on a line plot plt.plot(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('Crude oil price USD/barrel') # get the axes object ax = plt.gca() # hide the x-axis ax.get_xaxis().set_visible(False)

Output:

The x-axis ticks and labels have been removed.

## Example 4 – Hide the axes in subplots

To hide a specific axis in a subplot, you can use the subplot’s axes object to access the respective axis and then set its visibility to `False`

like we did in the above examples.

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5)) # plot the first subplot ax1.plot(x, y) # add axis labels ax1.set_xlabel('Year') ax1.set_ylabel('Crude oil price USD/barrel') # plot the second subplot ax2.plot(x, y) # add axis labels ax2.set_xlabel('Year') ax2.set_ylabel('Crude oil price USD/barrel')

Output:

Here, we created two subplots. Both the subplots have the same data but that is not important. Let’s see how to hide the axis in each of the above subplots.

First, we will hide both axes from each of the subplots. For this, use the axes object’s `axis()`

function and pass `'off'`

as an argument.

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5)) # plot the first subplot ax1.plot(x, y) # add axis labels ax1.set_xlabel('Year') ax1.set_ylabel('Crude oil price USD/barrel') # hide both the axis ax1.axis('off') # plot the second subplot ax2.plot(x, y) # add axis labels ax2.set_xlabel('Year') ax2.set_ylabel('Crude oil price USD/barrel') # hide both the axis ax2.axis('off')

Output:

You can see that both axes were removed from each of the subplots.

To remove a specific axis from a subplot, use the respective axes object’s `get_xaxis()`

or `get_yaxis()`

method and set its visibility to `False`

.

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5)) # plot the first subplot ax1.plot(x, y) # add axis labels ax1.set_xlabel('Year') ax1.set_ylabel('Crude oil price USD/barrel') # hide the x-axis ax1.get_xaxis().set_visible(False) # plot the second subplot ax2.plot(x, y) # add axis labels ax2.set_xlabel('Year') ax2.set_ylabel('Crude oil price USD/barrel') # hide the y-axis ax2.get_yaxis().set_visible(False)

Output:

In the first subplot, we hide the x-axis and in the second subplot, we hide the y-axis. You can similarly remove both axes from a subplot using this method.

You might also be interested in –

- Matplotlib – Change the Number of Ticks in a Plot
- Remove Tick Labels from a Plot in Matplotlib
- Set Axis Range (axis limits) in Matplotlib Plots
- Reverse Axes of a Plot in Matplotlib
- Rotate Axis Labels in Matplotlib with Examples and Output

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