MalaGIS

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When working on data processing projects with ArcGIS Desktop (non-Pro version), extending arcpy functionality often requires installing third-party libraries. Since Python 2 doesn't include pip by default, this guide outlines the installation process.

Prerequisites

1. Install ArcGIS Desktop
2. Add Python path to environment variables (e.g., C:\Python27\ArcGIS10.X)
3. Remove other Python paths from system variables
   

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We're sharing the third edition of the bestselling book Python for Data Analysis, including complete sample code repositories, PDF version, and online access links.

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When extending ArcGIS Python functionality (e.g., using openpyxl for Excel integration), installing supplementary packages becomes necessary. This guide demonstrates manual and automated installation methods for both online and offline scenarios.

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Using Python within ArcGIS requires foundational Python knowledge. The following modules support Python integration:

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While developing a workflow involving spatial data duplication, an analyst requested help with client requirements:
① Convert individual polygons to WKT format in TXT files
② Merge multiple polygons into MultiPolygon WKT format

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This article summarizes common Python GDAL code snippets for geospatial data processing. GDAL (Geospatial Data Abstraction Library) is a foundational library for handling raster and vector geospatial data, maintained by the Open Source Geospatial Foundation (OSGeo). Implemented in C/C++, it provides Python, Java, and other language bindings. When calling GDAL's API in Python, the underlying execution relies on compiled C/C++ binaries.

GDAL Official Site: https://gdal.org/
Python API Documentation: https://gdal.org/api/index.html#python-api

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During development of a grid management system, I initially planned to use PostgreSQL for storing grid WKT data (for direct SHP export and map service publishing). Due to incompatibility with backend framework requirements, I switched to MySQL. This necessitated converting MySQL-stored WKT to Shapefiles. The solution: Java scheduled tasks invoking Python scripts to automate conversion. Below are the code implementations.

1. WKT to Shapefile Conversion

Preview:

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