Matplotlib Axis Position Customization

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.

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Skills Graph

%%%%{init: {'theme':'neutral'}}%%%% flowchart RL matplotlib(("`Matplotlib`")) -.-> matplotlib/BasicConceptsGroup(["`Basic Concepts`"]) matplotlib(("`Matplotlib`")) -.-> matplotlib/PlottingDataGroup(["`Plotting Data`"]) python(("`Python`")) -.-> python/DataStructuresGroup(["`Data Structures`"]) python(("`Python`")) -.-> python/ModulesandPackagesGroup(["`Modules and Packages`"]) python(("`Python`")) -.-> python/DataScienceandMachineLearningGroup(["`Data Science and Machine Learning`"]) matplotlib/BasicConceptsGroup -.-> matplotlib/importing_matplotlib("`Importing Matplotlib`") matplotlib/BasicConceptsGroup -.-> matplotlib/figures_axes("`Understanding Figures and Axes`") matplotlib/PlottingDataGroup -.-> matplotlib/scatter_plots("`Scatter Plots`") python/DataStructuresGroup -.-> python/lists("`Lists`") python/DataStructuresGroup -.-> python/tuples("`Tuples`") python/ModulesandPackagesGroup -.-> python/importing_modules("`Importing Modules`") python/DataScienceandMachineLearningGroup -.-> python/data_visualization("`Data Visualization`") subgraph Lab Skills matplotlib/importing_matplotlib -.-> lab-48569{{"`Matplotlib Axisel Position`"}} matplotlib/figures_axes -.-> lab-48569{{"`Matplotlib Axisel Position`"}} matplotlib/scatter_plots -.-> lab-48569{{"`Matplotlib Axisel Position`"}} python/lists -.-> lab-48569{{"`Matplotlib Axisel Position`"}} python/tuples -.-> lab-48569{{"`Matplotlib Axisel Position`"}} python/importing_modules -.-> lab-48569{{"`Matplotlib Axisel Position`"}} python/data_visualization -.-> lab-48569{{"`Matplotlib Axisel Position`"}} end

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'.

Matplotlib Axisel Position