Python 将2个hdf5文件与pytables合并

这几乎就是我想要的，只是它只有覆盖或忽略重复路径的选项。下面的示例说明了我希望在这些结构中发生什么

输入文件1

/ (RootGroup) ''
/data_set_name (Group) 'group of images files'
/data_set_name_Set (EArray(7913, 128)) ''
/data_set_name/image_set_index (Table(3,)) ''
  /data_set_name/i100 (Group) 'sift features and coordinates'
  /data_set_name/i100/descriptors (Array(7913, 128)) 'sift descriptors'
  /data_set_name/i100/locations (Array(7913, 4)) 'sift feature locations'

输入文件二

/ (RootGroup) ''
/data_set_name (Group) 'group of images files'
/data_set_name_Set (EArray(4328, 128)) ''
/data_set_name/image_set_index (Table(4,)) ''
  /data_set_name/i1156 (Group) 'sift features and coordinates'
  /data_set_name/i1156/descriptors (Array(4328, 128)) 'sift descriptors'
  /data_set_name/i1156/locations (Array(4328, 4)) 'sift feature locations'

期望输出

/ (RootGroup) ''
/data_set_name (Group) 'group of images files'
/data_set_name_Set (EArray(12241, 128)) ''
/data_set_name/image_set_index (Table(7,)) ''
  /data_set_name/i100 (Group) 'sift features and coordinates'
  /data_set_name/i100/descriptors (Array(7913, 128)) 'sift descriptors'
  /data_set_name/i100/locations (Array(7913, 4)) 'sift feature locations'

  /data_set_name/i1156 (Group) 'sift features and coordinates'
  /data_set_name/i1156/descriptors (Array(4328, 128)) 'sift descriptors'
  /data_set_name/i1156/locations (Array(4328, 4)) 'sift feature locations'

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做这件事的有效方法是什么？

你的意思是用相同的路径自动放大数据集？嗯，我还没有考虑过这一点，但这看起来是一个很好的功能实现（尽管只对可放大阵列有效）。添加了一张罚单：

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这可能也是您感兴趣的“ptrepack-v--覆盖节点node1.h5:/node2.h5:/”显示为复制所有数据（基于文件大小），但在显示文件内容时仅显示一个文件组。但是，在执行“ptrepack-v——覆盖节点node1.h5:/groups node2.h5:/groups”操作时，复制后所有内容都是可见的