OPeNDAP is widely used in the earth sciences to deliver scientific data. The netCDF4 module supports the OPeNDAP protocol. Access scientific data stored on a remote server.The Multidimension tools were designed and built based on an earlier version of netCDF data model which didn’t support groups and therefore can only access the first group in the file. The latest netCDF data model, netCDF-4, supports organizing variables, dimension and attribute into hierarchical groups within the file. Read netCDF files which contain groups.Skipping over data is sometime referred to as specifying a stride. For example, this statement reads data for every other year for the variable tmin: Perform advance slicing (sub-setting) of a netCDF file.Build custom geoprocessing tools that process netCDF data (see the Create Space Time Cube in the Space-Time Patten Mining toolbox for an example).Here are some potential uses of the netCDF module:
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. I hope you find this tool useful.With the 10.3 release, a new Python library, netCDF4, began shipping as part of the ArcGIS platform. Tutorial On Customizing ArcMap Toolbars and Keyboard Shortcuts I’ve also added a warning message when the Data Frame coordinate system is either undefined, or uses a custom coordinate system.Ĭheck out the following guide to add or remove a button, or add a keyboard shortcut for a button: I’ve recently found out the add-in will not work in Layout view, so I’ve added a warning message to alert the user. I attempt to match the extent of the display in ArcMap to the extent shown in Bing or Google Maps. If the toolbar didn’t automatically add to ArcMap, go to Customize –> Toolbars –> and click on Bing and Google Maps. The Bing and Google Maps Python Add-in allows you to click a location in ArcMap, and then your browser will open to that location in one of the Bing or Google Map styles.