![]() ![]() ![]() In case you have further questions, you may leave a comment below. However, you may use the same syntax to change the axis labels of other types of plots such as boxplots, histograms, heatmaps, density plots, and so on. In the present tutorial, we have modified the axis labels of a line plot and a scatterplot. This post has shown how to change the axis labels of plots in both Matplotlib and seaborn in Python. Add Legend to Plot in Python Matplotlib & seaborn (4 Examples).I do hope you found this tutorial helpful! Just like with the above graphs, creating a scatterplot in Pandas with Matplotlib only requires a few lines of code, as shown below. So, with these examples, we have demonstrated how to change or set the axis labels of plots in both Matplotlib and seaborn in Python. Scatter plots in Pandas with Matplotlib Scatterplots are a great way to visualize a relationship between two variables without the potential for getting a misleading trend line from a line graph. In the video, we explain in some more detail how to change the axis labels of plots in both Matplotlib and seaborn in Python. It uses the same concepts and principles to create more fancy-looking plots than the ones created in Matplotlib.ĭo you need more explanations on how to change the axis labels of plots in both Matplotlib and seaborn in Python? Then you should take a look at the following YouTube video of the Statistics Globe YouTube channel. That is because seaborn is a library built on top of Matplotlib. You would also notice that the code is very similar to the ones we used in the Matplotlib examples. scatterplot (df, x = "x", y = "y" )Īs you would notice in the above plot, we have replaced the axis labels of the previous plot using the plt.xlabel() and plt.ylabel() functions. ![]()
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