ArcGIS API for Python is a simple and lightweight library for analyzing spatial data, managing your Web GIS, and performing spatial data science. It provides simple and efficient tools for sophisticated location-based analytics and integrates well with the larger Python ecosystem. In addition to your own data, the library enables access to ready-to-use maps and curated geographic data from Esri and other sources. It can also help you save time and improve efficiency by automating administration and management of your Web GIS.
Features of ArcGIS API for Python
Geospatial deep learning
Leverage specialized deep learning algorithms for workflows such as pixel and image classification, object detection, and instance segmentation. Access tools that help with every step of the workflow, including preparing data, training models, deploying them to making inferences, and disseminating results for decision-making.
Work with geospatial big data
Tap into distributed processing via ArcGIS API for Python in conjunction with ArcGIS GeoAnalytics to visualize spatial big data, analyze relationships, explore multiple dimensions across geographies, and predict or model events in meaningful ways.
Imagery and raster analysis
Perform distributed batch analysis on raster and imagery data with over 140 raster functions that enable math operations, data management, advanced analysis, and more. Create raster function chains that allow the output of one function to be used as an input for another to build an entire raster analytical workflow easily.
Interoperability with the Python ecosystem
Effortlessly analyze and visualize spatial data using spatially enabled DataFrames built on top of pandas. Perform queries and transformations, and easily integrate with hundreds of open-source scientific Python libraries such as Scikit-Learn, Seaborn, and NumPy for your analytical workflows.