Arcgis 10.3 python how to#
Arcgis 10.3 python code#

Arcgis 10.3 python code#

This code snippet extracts the first five years of data for the variable tmin and prints summary statistics: You can specify an index (or a range of indices) to slice the three dimensional data cube into a smaller cube. The variable tmin in the example above has three dimensions year, latitude and longitude. Slicing allows you to extract part of the data by specifying indices. This means you have access to the powerful slicing syntax of numPy arrays. NetCDF4 stores the data read from a netCDF file in a numPy array. >d = netCDF4.Dataset(r'c:datatemperature.nc', 'r') >import netCDF4 # the module name is case sensitive For example, this code snippet opens a netCDF file, determines its type, and prints the first data value: The netCDF4 library makes it easy for Python developers to read and write netCDF files. This blog post will focus on the new netCDF4 Python library. A summary of different ways of interacting with netCDF files appears in the table below.

Which method you use depends on what you are trying to accomplish. There are four ways of interacting with netCDF files in ArcGIS geoprocessing tools, the NetCDFFileProperties ArcPy class, the new netCDF Python module, and the multidimensional mosaic dataset. However, there may be times when you may want to access or create netCDF data directly using Python.

The ArcGIS platform has had geoprocessing tools which read and write netCDF data since the 9.x release. NetCDF (Network Common Data Form) is one of the most important formats for storing and sharing scientific data. netCDF4 allows you to easily inspect, read, aggregate and write netCDF files. Print 'Error: JSON object returns an error.With the 10.3 release, a new Python library, netCDF4, began shipping as part of the ArcGIS platform. # A function that checks that the input JSON object # Check that data returned is not an error object Print 'Error while fetching tokens from admin URL. HttpConn.request('POST', tokenURL, params, headers) HttpConn = httplib.HTTPConnection(serverName, serverPort)

Arcgis 10.3 python how to#

Refer to the ArcGIS REST API reference for detailed examples of how to create the JSON file for different service types. Here's an example of how your JSON file might look. Other service types do not require you to use arcpy.mapping or create an MSD. This part requires a machine licensed for ArcGIS for Desktop. You must use the arcpy.mapping module to analyze your map and create the MSD before you can go ahead with creating the service. This file synthesizes information from your ArcMap document (MXD) in a format that can be understood and drawn by ArcGIS Server. In the case of a map service, you must specify a map service definition (MSD) file in your JSON. You then call the createService method in the ArcGIS REST API and pass in the JSON that you have read from the file. You can achieve this by listing service parameters in a text file using JavaScript Object Notation (JSON). Sometimes you might want fine-grained control over your service properties when you initially publish a service. Back to Top Example: Publish a service with detailed parameters