Show all elements available in the file:

Import, by default, returns the list of datasets in the file:

Import the file structure, specifying the format explicitly:

Import contents of a dataset by specifying its name:

Import dimensions and data format for all datasets in the file:

Import dimensions and data format of a single dataset:

Import a dataset:

Render the imported data as graphics:

Export a matrix to NetCDF:

Show the datasets contained in this file:

Export a named dataset:

Export two matrices to NetCDF:

Export a named dataset with given data type:

Import the data format:

Export a named compound data type in a group:

Import the file structure:

Export named datasets with attributes:

Import attributes of a particular group:

Import all attributes stored in a file:

Import attributes of all groups and datasets in the file:

Import attributes of a specific dataset:

Import attributes of multiple objects:

Get data from all datasets in the file:

Import data from the "MyData" dataset inside the "MyGroup" group:

When importing data from a single dataset, the "Data" element should not be specifically provided:

Import data from multiple datasets:

Get data type description for every dataset in the file:

Simple numeric and string types have one-word descriptions:

"DataFormat" for a compound type shows class and structure:

"DataFormat" for enumerated types includes class, base data format and a list of values and names:

Import names of all datasets in a file:

"Datasets" is the default netCDF element:

Get dimensions of all datasets in a file:

Dimensions of data with only a single element are indicated by an empty list:

Get dimensions of a specific dataset:

Get dimension names of all datasets in a file:

Get dimension names of a specific dataset:

Import names of all groups in the file:

Get file metadata (attributes of the root group):

Metadata often carries information about data source:

Import all named dimensions in the file:

Dimensions may be unlimited:

Import named dimension to get coordinate values along this dimension:

Inspecting attributes often gives more information about the dimension:

Interpret time coordinates according to the information obtained from the attribute:

Get the file summary:

Get the version of netCDF format:

NetCDF Version 4 is supported:

Attach attributes to the root group:

Specify data format for attributes:

Export dataset attributes both in "Datasets" and "Attributes" elements:

Each attribute must have a name that is unique among all attributes attached to the same object:

Overwrite attribute value in existing file:

"Datasets" is the default export element. Data format and dimensions are automatically inferred from the expression:

Export expressions into different datasets, each of which can have a full path:

Inspect the structure of the NetCDF file:

Export a dataset with a custom data format:

Export a dataset with an attribute:

Create a scalar dataset with a single integer:

Create an array of integer numbers:

Export an array of real numbers:

Create a dataset with strings:

A ByteArray is stored as a "ByteArray" type (also called the opaque type in NetCDF4):

Associations with string keys are exported as elements of a compound type:

NetCDF files always have a root group (with path "/"):

Export multiple groups by giving a list of paths:

Export a compound named data type to a NetCDF file:

Use the previously exported type when exporting a dataset:

Import data format and dimensions of the dataset:

Inspect exported data:

Export a nested compound type:

Simple scalar types cannot be stored in a NetCDF file:

Every dimension of a NetCDF dataset must be stored in the file as separate entity. When dimensions' names are not explicitly specified, they will be assigned automatically generated names:

Specify dimension names explicitly:

Export dimensions explicitly in the form of "name"size, where as size means unlimited dimension:

Named dimensions can later be used when defining datasets:

Notice that the size of the "x" dimension has increased:

See the file structure:

Export a dimension with explicit coordinate values that will be stored in a dataset with the same name:

Create an unlimited dimension with only the first few coordinates specified:

Export two matrices using the "Rules" specification:

By default, a new file is created for each call to Export:

With OverwriteTargetFalse, existing files will not be overwritten:

To append datasets to an existing file, use OverwriteTarget"Append":

By default, Export creates NetCDF4 files with enhanced data model:

Export data to classic NetCDF format:

Export data to classic NetCDF format with 64-bit offset:

Export data to NetCDF4 format with classic data model: