Creating New Arrays: h5newArrayΒΆ

h5newArray creates a new HDF5 array. Array creation can be customized via a creation property list.

Excel UDF Syntax

h5newArray(filename, arrayname, size)

h5newArray(filename, arrayname, size [, properties])

Mandatory Arguments

Argument Description
filename A text string specifying the name of an HDF5 file. If the file doesn’t exist, it will be created.
arrayname A text string (path) specifying the location of the HDF5 array. Missing intermediate groups will be created automatically. Existing arrays will not be overwritten.
size An Excel array specifying the dimensions of the HDF5 array. Up to 32 dimensions are supported. Dimensions must be non-zero. A negative dimension is treated as unlimited and its absolute value will be used as the initial size. size can be specified as a row or column cell range.


Although the creation of HDF5 arrays of more than two dimensions is supported, there is currently very little supporting functionality in PyHexad for accessing such HDF5 arrays.

Optional Arguments

Argument Description
properties A text string that is formatted as a list of comma-separated pairs of Name,Value arguments. See the Properties section for the supported keywords and value ranges. Unrecognized names (and their values) will be ignored.


Name Description Values Default
Datatype Defines the datatype of the dataset. A scalar type. See Supported Types. double
Chunksize Defines the chunk size for the dataset. An array of positive integers of the same rank as the dataset. Not chunked.
Deflate Enables GZIP compression sets level. (0-9) 0 (no compression)
FillValue Defines the fill value for numeric array. A literal that can converted to a value of the array element type. 0
Fletcher32 Enable Fletcher32 checksum generation for the array. Boolean false
Shuffle Enable the Shuffle filter. Boolean false

Return Value

On success, h5newArray returns arrayname (string).

On error, an error message (string) is returned.


Create a two-dimensional 12x13 dataset of unsigned 1-byte integers with contiguous layout:

h5newArray("file.h5", "/A", {12, 13}, "Datatype,uint8")

Create a two-dimensional, extendible (in the second dimension) dataset of single-precision floating-point numbers with chunked layout. The initial extent of the dataset is 12x16 and a chunk size will be chosen automatically.

h5newArray("file.h5", "/C/D", {12, -16}, "Datatype,single")

Create a three-dimensional, extendible (in the first dimension), gzip compressed (level 6) dataset of double-precision floating-point numbers with chunked (4x4x64 chunks) layout and Fletcher32 checksums generated.

h5newArray("file.h5", "/E/F (gzipped + checksums)", {-12, 1024, 768}, \
           "ChunkSize,[4 4 64],Deflate,6,Fletcher32,true")

Error Conditions

The following conditions will create an error:

  1. An invalid file name
    • An empty string or a string that contains characters not supported by the operating system
    • It refers to a file system location for which the user has insufficient access privileges.
    • It refers to a read-only file.
  2. An invalid array name
    • An empty string
    • An HDF5 object exists at the specified location
    • Missing intermediate groups cannot be created.
  3. An invalid array size
    • An empty array or an array which contains more than 32 elements
    • A zero dimension
  4. Invalid properties
    • A string which is not formatted as a comma-separated list
    • A comma separated list with an odd number of elements
    • A value which is outside the admissible range for the corresponding key

See Also

h5newTable, h5newGroup