Reference Manual of the nadc-tools API and Libraries - SRON

2.30 NADC PYTABLE API
Identifier NADC PYTABLE API
Author R.M. van Hees
Language ANSI C
Purpose subroutines to easily create/write/read attributes and datasets
Returns status: negative value is returned on failure
Comment none
2.30.1 PYTABLE open file
Identifier PYTABLE open file
Purpose Open/Create a PyTable file
Usage grpID = PYTABLE open file( filename, title );
Input char filename[] : file name
char title[] : title of the PyTable database
Returns A negative value is returned on failure.
Comment none
2.30.2 PYTABLE open group
Identifier PYTABLE open group
Purpose Open/Create a group in an exsisting HDF5-file
Usage grpID = PYTABLE open group( locID, name, sz hint );
Input hid t locID : HDF5 object id
char name[] : name of the group
Returns A negative value is returned on failure.
Comment none
2.30.3 PYTABLE make array
Identifier PYTABLE make array
Purpose create extensible HDF5 dataset
Usage stat = PYTABLE make array( locID, dset name, title, rank, dims,
extdim, typeID, dims chunk, fill data,
compress, shuffle, fletcher32, buff );
Input hid t locID : HDF5 identifier of file or group
char *dset name : name of dataset
char *title :
int rank : number of dimensions
hsize t *dims : size of each dimension
int extdim : index of expendable dimension
hid t typeID : data type (HDF5 identifier)
hsize t *dims chunk : chunk sizes
void *fill data : Fill value for data
unsigned int compress : compression level (zero for no compression)
bool shuffle : shuffel data for better compression
bool fletcher32 :
void *buffer : buffer with data to write (or NULL)
Returns A negative value is returned on failure.
Comment none
48