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Visualization

The MicPy tabular module is seamlessly integrated with the widely-used Pandas library. When you read a MICRESS tabular file using MicPy, the data is returned as a Pandas DataFrame object. This powerful data structure not only organizes your data efficiently but also provides a robust platform for visualization.

Pandas DataFrames are equipped with versatile plotting capabilities that address a broad spectrum of common visualization needs. These built-in visualizations are rendered using Matplotlib, a comprehensive plotting library renowned for its flexibility and extensive customization options.

In the following sections, we will explore how to utilize the combined strengths of Pandas and Matplotlib to create meaningful visualizations from your MICRESS tabular data:

Line plots Histograms Subplots