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You can use the following basic syntax to adjust axis label positions in Matplotlib:

#adjust y-axis label position ax.yaxis.set_label_coords(-.1, .5) #adjust x-axis label position ax.xaxis.set_label_coords(.5, -.1)

The following examples show how to use this syntax in practice.

**Example 1: Adjust X-Axis Label Position**

The following code shows how to create a plot in Matplotlib and adjust the location of the x-axis label position only:

import matplotlib.pyplot as plt #define data x = [1, 2, 3, 4, 5, 6] y = [4, 5, 8, 14, 24, 19] #create scatterplot fig, ax = plt.subplots() ax.scatter(x, y) #add axis labels ax.set_ylabel('Y-Axis Label') ax.set_xlabel('X-Axis Label') #adjust position of x-axis label ax.xaxis.set_label_coords(.9, -.1)

Note that the axis coordinate system uses **(0, 0)** to represent the bottom left corner of the plot, **(0.5, 0.5)** to represent the center, and **(1, 1)** to represent the top right corner.

**Example 2: ****Adjust Y-Axis Label Position**

The following code shows how to create a plot in Matplotlib and adjust the location of the y-axis label position only:

import matplotlib.pyplot as plt #define data x = [1, 2, 3, 4, 5, 6] y = [4, 5, 8, 14, 24, 19] #create scatterplot fig, ax = plt.subplots() ax.scatter(x, y) #add axis labels ax.set_ylabel('Y-Axis Label') ax.set_xlabel('X-Axis Label') #adjust position of x-axis label ax.yaxis.set_label_coords(-.1, .1)

**Example 3: Adjust Both Axis Label Positions**

The following code shows how to create a plot in Matplotlib and adjust the location of both axis label positions:

import matplotlib.pyplot as plt #define data x = [1, 2, 3, 4, 5, 6] y = [4, 5, 8, 14, 24, 19] #create scatterplot fig, ax = plt.subplots() ax.scatter(x, y) #add axis labels ax.set_ylabel('Y-Axis Label') ax.set_xlabel('X-Axis Label') #adjust position of both axis labels ax.yaxis.set_label_coords(-.1, .1) ax.xaxis.set_label_coords(.9, -.1)

**Additional Resources**

The following tutorials explain how to perform other common functions in Matplotlib:

How to Hide Axes in Matplotlib

How to Rotate Tick Labels in Matplotlib

How to Change the Number of Ticks in Matplotlib