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Annotations can highlight key data points or trends in your Matplotlib plots, drawing attention to the most important information. Use plt.annotate() to add text annotations with arrows pointing ...
Annotation tool for matplotlib figures. Contribute to nolanfeeny/mpl_annotate development by creating an account on GitHub.
For example, if you want to show how a variable changes over time, ... You can use Matplotlib and Seaborn to add annotations and labels to your plot, such as text, arrows, lines, ...
I am finding that annotations placed outside of axes get placed incorrectly in v1.4.3. Here is an example: import matplotlib.pyplot as plt import matplotlib as mpl fig, ax = plt.subplots() ax.annot ...
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