DownloadA Python package for integrating CARTO maps, analysis, and data services into data science workflows. Python data analysis workflows often rely on the de facto standards pandas and Jupyter notebooks. Integrating CARTO into this workflow saves data scientists time and energy by not having to export datasets as files or retain multiple copies of the data. Instead, CARTOframes give the ability to communicate reproducible analysis while providing the ability to gain from CARTO's services like hosted, dynamic or static maps and Data Observatory augmentation.
Features
- Create interactive maps from pandas DataFrames (CARTO account not required)
- Publish interactive maps to CARTO's platform
- Write and read pandas DataFrames to/from CARTO tables and queries
- Create customizable, interactive CARTO maps in a Jupyter notebook using DataFrames or hosted data
- Augment your data with CARTO's Data Observatory
- Use CARTO for cloud-based analysis
Project Samples
Categories
LibrariesLicense
BSD LicenseFollow CARTOframes
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