Library that provides tools for classifying geographic data on maps.
It allows you to divide a spatial dataset into different classes or
ranges, making it easier to visualize and analyze this data on maps.
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This library is especially useful for grouping and categorizing geographic
information, helping to identify patterns and trends in data.
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It supports multiple classification methods such as Jenks Natural Breaks,
Equal Interval and Quantile, among others, allowing users to choose the
best approach for their specific analysis. Additionally, the library is
integrated with other popular geographic data analysis tools, making it
easy to incorporate their functionality into existing workflows.
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This package provides the Python 3.x module
Installed Size: 180.2 kB
Architectures: all