在 Python 中使用 H5T_ARRAY

Question

我正在尝试使用 Python 在 H5T_COMPOUND 结构中使用 H5T_ARRAY。基本上，我正在编写 hdf5 文件，如果你使用 H5Dump 打开它，结构如下所示。

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：

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！

Answer 1

不确定其他库是如何做到这一点的，但是上面的数据集复合布局可以通过 Python 中的 HDFql 创建如下：

# 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)")

检查 HDFql reference manual 以获取更多信息和示例。

在 Python 中使用 H5T_ARRAY

using H5T_ARRAY in Python

python

numpy

hdf5

pytables