Table to NetCDF (Multidimensional)

Summary

Converts a table to a netCDF file.

Usage

• The default variable name is the same as the field name specified in the Fields to Variables (fields_to_variables in Python) parameter.

• The type of variable is the same as the type of field.

• The default dimension name is the same as the field name specified in the Fields to Dimensions (fields_to_dimensions in Python) parameter.

• The size of a dimension is equal to the number of unique values in the respective field.

• If no field is specified as dimension, then a dimension named RecordID is created in the output netCDF file.

• String fields cannot be used to create dimensions in the netCDF file.

• The tool writes variables either as Discrete Sample Geometry (DSG) such as points, or as gridded data following the CF conventions, depending on the fields specified in the Fields to Dimensions parameter.

  • If the default, non-geometry type fields are specified in Fields to Dimensions parameter, the tool writes variables as Discrete Sample Geometry (DSG) such as points or trajectory following the CF-convention. Since, these data are not gridded, the variables in the output netCDF file is not suitable for creating a voxel layer.
  • If the geometry type fields such as Shape.X and Shape.Y are specified as coordinate dimensions in Fields to Dimensions parameter, the tool writes variable as regularly spaced gridded data following the CF-convention. Therefore, the variable in the output netCDF file is suitable for creating a voxel layer.

Parameters

Dialog

Label	Explanation	Data Type
Input Table	The input table.	Table View
Fields to Variables	The field or fields that will be used to create variables in the netCDF file. Field—A field in the input feature attribute table. Variable—The netCDF variable name Units—The units of the data represented by the field	Value Table
Output netCDF File	The output netCDF file. The file name must have an .nc extension.	File
Fields to Dimensions (Optional)	The field or fields that will be used to create dimensions in the netCDF file. Field—A field in the input table. Dimension—The netCDF dimension name Units—The units of the data represented by the field	Value Table

Python

arcpy.management.TableToNetCDF(in_table, fields_to_variables, out_netCDF_file, {fields_to_dimensions})

Name	Explanation	Data Type
in_table	The input table.	Table View
fields_to_variables [[field, {variable}, {units}],...]	The field or fields that will be used to create variables in the netCDF file. field—A field in the input feature attribute table. {variable}—The netCDF variable name {units}—The units of the data represented by the field	Value Table
out_netCDF_file	The output netCDF file. The file name must have an .nc extension.	File
fields_to_dimensions [[field, {dimension}, {units}],...] (Optional)	The field or fields that will be used to create dimensions in the netCDF file. field—A field in the input table. {dimension}—The netCDF dimension name {units}—The units of the data represented by the field	Value Table

Code sample

TableToNetCDF example 1 (Python window)

Converts a table to a netCDF file.

import arcpy
arcpy.TableToNetCDF_md("c:/data/netcdfgisdata/rainfall.dbf",
                       "longitude longitude degree_east;latitude latitude degree_north",
                       "c:/output/rain.nc","station station")

TableToNetCDF example 2 (stand-alone script)

Converts a table to a netCDF file.

# Name: TableToNetCDF_Ex_02.py
# Description: 
# Requirements: none

# Import system modules
import arcpy

# Set local variables
inTable = "c:/data/netcdfgisdata/rainfall.dbf"
fieldVariableUnits = "longitude longitude degree_east;latitude latitude degree_north"
outNetCDFFile = "c:/output/rain.nc"
fieldDimensionUnits = "station station"

# Execute SelectByDimension
import arcpy
arcpy.TableToNetCDF_md(inTable, fieldVariableUnits, outNetCDFFile, fieldDimensionUnits)

Environments

Current Workspace, Scratch Workspace