Programming ArcGIS 10.1 with Python Cookbook: Over 75 by Eric Pimpler
By Eric Pimpler
ArcGIS is an general geographic info procedure from ESRI.
This ebook will enable you use the Python programming language to create geoprocessing scripts, instruments, and shortcuts for the ArcGIS laptop environment.
This e-book will make you a greater and effective GIS specialist by way of displaying you the way to take advantage of the Python programming language with ArcGIS computing device to automate geoprocessing initiatives, deal with map records and layers, locate and fasten damaged information hyperlinks, edit information in function sessions and tables, and masses extra.
Read or Download Programming ArcGIS 10.1 with Python Cookbook: Over 75 recipes to help you automate geoprocessing tasks, create solutions, and solve problems for ArcGIS with Python PDF
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Additional resources for Programming ArcGIS 10.1 with Python Cookbook: Over 75 recipes to help you automate geoprocessing tasks, create solutions, and solve problems for ArcGIS with Python
Each tool that you execute from a script must follow a specific syntax that first defines the tool name, followed by an underscore, and then the alias for the toolbox name. In our example, the Buffer tool is located in the Analysis Tools toolbox, which has an alias of analysis. This is done because it is possible for more than one tool to have the same name. A unique reference for each tool is generated using the syntax
Name 10. Save the script. info Writing Basic Geoprocessing Scripts with ArcPy How it works... We created three variables in this script. The first variable, path, was created and assigned a hard-coded value with a data path. This is an example of a literal variable, meaning that they literally mean exactly what they say. They are distinguished from variables, whose values are not directly determined by their name. The second variable, fields, is created from the returned value of the ListFields() function and is a Python list object containing one or more Field objects.
Many languages terminate statements with the use of a semicolon, but Python simply uses the end of line character to mark the end of a statement. Compound statements include a ":" character. Compound statements follow the pattern: header terminated by a colon. Blocks of code are then written as individual statements and are indented underneath the header. Statement indentation deserves a special mention as it is critical to the way Python interprets code. As I mentioned, a contiguous section of code is detected by Python through the use of indentation.