Create variable in NetCDF file
nccreate(
creates
a variable with additional options specified by one or more name-value
pair arguments. For example, to create a nonscalar variable, use the filename
,varname
,Name,Value
)Dimensions
name-value
pair argument.
Create a NetCDF file named myexample.nc
that
contains a variable named Var1
.
nccreate('myexample.nc','Var1')
Create a second variable in the same file.
nccreate('myexample.nc','Var2')
Display the contents of the NetCDF file.
ncdisp('myexample.nc')
Source: pwd\myexample.nc Format: netcdf4_classic Variables: Var1 Size: 1x1 Dimensions: Datatype: double Var2 Size: 1x1 Dimensions: Datatype: double
Create a new two-dimensional variable named peaks
in
a classic (NetCDF 3) format file named myncclassic.nc
.
Use the 'Dimensions'
name-value pair argument to
specify the names and lengths of the two dimensions. Use the 'Format'
name-value
pair argument to specify the file format.
nccreate('myncclassic.nc','peaks',... 'Dimensions',{'r',200,'c',200},... 'Format','classic')
Write data to the variable.
ncwrite('myncclassic.nc','peaks',peaks(200))
Display the contents of the NetCDF file.
ncdisp('myncclassic.nc')
Source: pwd\myncclassic.nc Format: classic Dimensions: r = 200 c = 200 Variables: peaks Size: 200x200 Dimensions: r,c Datatype: double
filename
— File nameFile name, specified as a character vector or string scalar. The file is an existing NetCDF file, or the name you want to assign to a new NetCDF file.
Example: 'myFile.nc'
varname
— Name of new variableName of the new variable, specified as a character vectorr or string scalar.
Example: 'myVar'
Specify optional
comma-separated pairs of Name,Value
arguments. Name
is
the argument name and Value
is the corresponding value.
Name
must appear inside quotes. You can specify several name and value
pair arguments in any order as
Name1,Value1,...,NameN,ValueN
.
nccreate('myFile.nc','Var1','Datatype','double','Format','classic')
creates
a variable named Var1
of type NC_DOUBLE
in
a NetCDF 3 file named myFile.nc
.'Dimensions'
— Dimensions of variableDimensions of the new variable, specified as the comma-separated pair consisting of
'Dimensions'
and a cell array. The cell array
lists the dimension name as a character vector or string scalar followed
by its numerical length, in this form:
{dname1,dlength1,dname2,dlength2, ...}
. The
dname1
input is the name of the first dimension
specified as a character vector or string scalar,
dlength1
is the length of the first dimension,
dname2
is the name of the second dimension, and
so on. If a dimension exists, specifying its length is optional. A
variable with a single dimension is always treated as a column
vector.
Use Inf
to specify an unlimited dimension.
A netcdf4
format file can have any number of unlimited
dimensions in any order. All other formats can have only one unlimited
dimension per file and it must be specified last in the cell array.
nccreate
creates the dimension at the same
location as the variable. For netcdf4
format files,
you can specify a different location for the dimension using a fully
qualified dimension name.
Example: 'Dimensions',{'dim1',100,'dim2',150,'dim3',Inf}
'Datatype'
— MATLAB® data type'double'
(default) | character vector | string scalarMATLAB data type, specified as the comma-separated pair
consisting of 'Datatype'
and a character vector or
string scalar containing the name of the data type. When
nccreate
creates the variable in the NetCDF
file, it uses a corresponding NetCDF datatype. This table lists valid
values for 'Datatype'
and the corresponding NetCDF
variable type that nccreate
creates.
Value of Datatype | NetCDF Variable Type |
---|---|
'double' | NC_DOUBLE |
'single' | NC_FLOAT |
'int64' | NC_INT64 * |
'uint64' | NC_UINT64 * |
'int32' | NC_INT |
'uint32' | NC_UINT * |
'int16' | NC_SHORT |
'uint16' | NC_USHORT * |
'int8' | NC_BYTE |
'uint8' | NC_UBYTE * |
'char' | NC_CHAR |
* These data types are only available when the file is a netcdf4
format
file.
Example: 'Datatype','uint16'
'Format'
— NetCDF file format'netcdf4_classic'
(default) | character vector | string scalarNetCDF file format, specified as the comma-separated pair consisting
of 'Format'
and one of these values.
Value of Format | Description |
---|---|
'classic' | NetCDF 3 |
'64bit' | NetCDF 3, with 64-bit offsets |
'netcdf4_classic' | NetCDF 4 classic model |
'netcdf4' | NetCDF 4 model (Use this format to enable group hierarchy) |
If varname
specifies a group (for example,'/grid3/temperature'
),
then nccreate
sets the value of Format
to 'netcdf4'
.
Example: 'Format','classic'
'FillValue'
— Replacement value for missing values'disable'
Replacement value for missing values, specified as the comma-separated
pair consisting of 'FillValue'
and a scalar or 'disable'
.
The default value is specified by the NetCDF library. To disable replacement
values, specify 'FillValue','disable'
.
This argument is available for netcdf4
or netcdf4_classic
formats
only.
Example: 'FillValue',NaN
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| char
'ChunkSize'
— Chunk size along each dimensionChunk size along each dimension, specified as the comma-separated
pair consisting of 'ChunkSize'
and a vector. The
first element specifies the number of rows, the second element specifies
the number of columns, the third element specifies the length of the
third dimension, and so on. The default value is specified by the
NetCDF library.
This argument is available for netcdf4
or netcdf4_classic
formats
only.
Example: 'ChunkSize',[5 6 9]
Data Types: double
'DeflateLevel'
— Amount of compression0
(default) | scalar value between 0
and 9
Amount of compression, specified as the comma-separated pair
consisting of 'DeflateLevel'
and a scalar value
between 0
and 9
. 0
indicates
no compression and 9
indicates the most compression.
This argument is available for netcdf4
or netcdf4_classic
formats
only.
Example: 'DeflateLevel',5
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
'Shuffle'
— Status of shuffle filterfalse
(default) | true
Status of the shuffle filter, specified as the comma-separated
pair consisting of 'Shuffle'
and false
or true
. false
disables
the shuffle filter and true
enables it. The shuffle
filter can assist with the compression of integer data by changing
the byte order in the data stream.
This argument is available for netcdf4
or netcdf4_classic
formats
only.
Example: 'Shuffle',true
Data Types: logical