Introduction
In data visualization, it is common to encounter missing data that needs to be plotted. In this tutorial, we will learn how to plot data with missing values using Matplotlib. We will explore three methods: removing undesired data points, masking points, and setting values to NaN.
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.
If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
Skills Graph
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flowchart RL
matplotlib(("`Matplotlib`")) -.-> matplotlib/BasicConceptsGroup(["`Basic Concepts`"])
matplotlib(("`Matplotlib`")) -.-> matplotlib/PlottingDataGroup(["`Plotting Data`"])
matplotlib(("`Matplotlib`")) -.-> matplotlib/PlotCustomizationGroup(["`Plot Customization`"])
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/line_plots("`Line Plots`")
matplotlib/PlotCustomizationGroup -.-> matplotlib/titles_labels("`Adding Titles and Labels`")
matplotlib/PlotCustomizationGroup -.-> matplotlib/legend_config("`Legend Configuration`")
python/DataStructuresGroup -.-> python/lists("`Lists`")
python/DataStructuresGroup -.-> python/tuples("`Tuples`")
python/ModulesandPackagesGroup -.-> python/importing_modules("`Importing Modules`")
python/DataScienceandMachineLearningGroup -.-> python/numerical_computing("`Numerical Computing`")
python/DataScienceandMachineLearningGroup -.-> python/data_visualization("`Data Visualization`")
subgraph Lab Skills
matplotlib/importing_matplotlib -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
matplotlib/figures_axes -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
matplotlib/line_plots -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
matplotlib/titles_labels -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
matplotlib/legend_config -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
python/lists -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
python/tuples -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
python/importing_modules -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
python/numerical_computing -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
python/data_visualization -.-> lab-48821{{"`Plotting Masked and NaN Values`"}}
end