- Matplotlib - WikipediaPython plotting libraryMatplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK. T...See more on Wikipedia
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Matplotlib provides a wide range of colormaps to enhance data visualization by mapping numerical data to colors. These colormaps can be used in plots like heatmaps, scatter plots, and contour plots to represent data effectively. Below is an overview of colormap types and their usage in Matplotlib.
Types of Colormaps
Sequential Colormaps: These are ideal for data that progresses from low to high values. Examples include viridis, plasma, and magma. They are perceptually uniform, making them suitable for continuous data.
import matplotlib.pyplot as pltimport numpy as npdata = np.random.rand(10, 10)plt.imshow(data, cmap='viridis')plt.colorbar()plt.title('Sequential Colormap: Viridis')plt.show()Copied!✕CopyDiverging Colormaps: These are used when data has a meaningful midpoint, such as zero. Examples include coolwarm, RdBu, and PiYG.
plt.imshow(data - 0.5, cmap='coolwarm')plt.colorbar()plt.title('Diverging Colormap: Coolwarm')plt.show()Copied!✕Copy How to Create and Customize Matplotlib Heatmaps: A Comprehensive …
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Customizing Heatmap Colors with Matplotlib - GeeksforGeeks
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Learn how to create and customize heatmaps using the `imshow`, `pcolormesh`, and `matshow` functions in Matplotlib for advanced data visualization.
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