Introduction
In this lab, we will learn how to set the position of axis labels and colorbar labels in Matplotlib. We will use the set_xlabel, set_ylabel, and colorbar methods to set the position of the labels.
VM Tips
After the VM startup is done, click the top left corner to switch to the Notebook tab to access Jupyter Notebook for practice.
Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook.
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Import Matplotlib and create a scatter plot
We start by importing Matplotlib and creating a scatter plot.
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
sc = ax.scatter([1, 2], [1, 2], c=[1, 2])
Set the position of the y-axis label
We can set the position of the y-axis label using the set_ylabel method. We can set the position to 'top', 'center', or 'bottom'. In this example, we will set the position to 'top'.
ax.set_ylabel('YLabel', loc='top')
Set the position of the x-axis label
We can set the position of the x-axis label using the set_xlabel method. We can set the position to 'left', 'center', or 'right'. In this example, we will set the position to 'left'.
ax.set_xlabel('XLabel', loc='left')
Set the position of the colorbar label
We can set the position of the colorbar label using the colorbar method and the set_label method. We can set the position to 'top', 'bottom', 'left', or 'right'. In this example, we will set the position to 'top'.
cbar = fig.colorbar(sc)
cbar.set_label("ZLabel", loc='top')
Display the plot
We can display the plot using the show method.
plt.show()
Summary
In this lab, we learned how to set the position of axis labels and colorbar labels in Matplotlib. We used the set_xlabel, set_ylabel, and colorbar methods to set the position of the labels. We also learned that we can set the position to 'top', 'bottom', 'left', 'right', 'center', or 'baseline'.