在Python中使用H5T_ARRAY [英] using H5T_ARRAY in Python

问题描述

我正在尝试使用Python在H5T_COMPOUND结构内使用H5T_ARRAY.基本上，我正在编写hdf5文件，如果使用H5Dump打开它，结构将如下所示.

I am trying to use H5T_ARRAY inside the H5T_COMPOUND structure using Python. Basically, I am writing hdf5 file and if you open it using H5Dump, the structure looks like this.

HDF5 "SO_64449277np.h5" {
GROUP "/" {
   DATASET "Table3" {
      DATATYPE  H5T_COMPOUND {
         H5T_COMPOUND {
            H5T_STD_I16LE "id";
            H5T_STD_I16LE "timestamp";
         } "header";
         H5T_COMPOUND {
            H5T_IEEE_F32LE "latency";
            H5T_STD_I16LE "segments_k";
            H5T_COMPOUND {
               H5T_STD_I16LE "segment_id";
               H5T_IEEE_F32LE "segment_quality";
               H5T_IEEE_F32LE "segment_length";
            } "segments_k0";
            H5T_COMPOUND {
               H5T_STD_I16LE "segment_id";
               H5T_IEEE_F32LE "segment_quality";
               H5T_IEEE_F32LE "segment_length";
            } "segments_k1";
    .....
           } "summary_data";
      }
      DATASPACE  SIMPLE { ( 2 ) / ( H5S_UNLIMITED ) }
   }
}
}

相反，我们的想法是拥有这个:

Instead, the idea is to have this:

HDF5 "SO_64449277np.h5" {
GROUP "/" {
   DATASET "Table3" {
      DATATYPE  H5T_COMPOUND {
         H5T_COMPOUND {
            H5T_STD_I16LE "id";
            H5T_STD_I16LE "timestamp";
         } "header";
         H5T_COMPOUND {
            H5T_IEEE_F32LE "latency";
            H5T_ARRAY {[70] H5T_COMPOUND {
               H5T_STD_I16LE "segment_id";
               H5T_IEEE_F32LE "segment_quality";
               H5T_IEEE_F32LE "segment_length";
            } } "segments_k";
         } "summary_data";
      }
      DATASPACE  SIMPLE { ( 2 ) / ( H5S_UNLIMITED ) }
   }
}
}

谢谢！

推荐答案

不确定如何使用其他库来完成此操作，但是可以使用

Not sure how this is done with other libraries, but the above dataset compound layout may be created as follows with HDFql in Python:

# import HDFql package
import HDFql

# create an HDF5 file named 'SO_64449277np.h5'
HDFql.execute("CREATE FILE SO_64449277np.h5")

# create an HDF5 compound dataset named 'Table3' (in HDF5 file 'SO_64449277np.h5') with the wanted layout
HDFql.execute("CREATE DATASET SO_64449277np.h5 Table3 AS COMPOUND(header AS COMPOUND(id AS SMALLINT, timestamp AS SMALLINT), summary_data AS COMPOUND(latency AS FLOAT, segments_k AS COMPOUND(segment_id AS SMALLINT, segment_quality AS FLOAT, segment_length AS FLOAT)(70)))(2 TO UNLIMITED)")

查看HDFql 参考手册以获取更多信息和示例.

Check HDFql reference manual for additional information and examples.

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