h5py

来源： https://stackoverflow.com/questions/57953554/pytables-writes-much-faster-than-h5py-why

来源： https://stackoverflow.com/questions/57953554/pytables-writes-much-faster-than-h5py-why

来源： https://stackoverflow.com/questions/45585104/save-keras-modelcheckpoints-in-google-cloud-bucket

来源： https://stackoverflow.com/questions/45585104/save-keras-modelcheckpoints-in-google-cloud-bucket

来源： https://stackoverflow.com/questions/45585104/save-keras-modelcheckpoints-in-google-cloud-bucket

来源： https://stackoverflow.com/questions/45585104/save-keras-modelcheckpoints-in-google-cloud-bucket

来源： https://stackoverflow.com/questions/45585104/save-keras-modelcheckpoints-in-google-cloud-bucket

来源： https://stackoverflow.com/questions/63177247/python-fastest-way-to-subtract-elements-of-datasets-of-hdf5-file

问题 I have selected specific hdf5 datasets and want to copy them to a new hdf5 file. I could find some tutorials on copying between two files, but what if you have just created a new file and you want to copy datasets to the file? I thought the way below would work, but it doesn't. Are there any simple ways to do this? >>> dic_oldDataset['old_dataset'] <HDF5 dataset "old_dataset": shape (333217,), type "|V14"> >>> new_file = h5py.File('new_file.h5', 'a') >>> new_file.create_group('new_group') >>>

问题 I have selected specific hdf5 datasets and want to copy them to a new hdf5 file. I could find some tutorials on copying between two files, but what if you have just created a new file and you want to copy datasets to the file? I thought the way below would work, but it doesn't. Are there any simple ways to do this? >>> dic_oldDataset['old_dataset'] <HDF5 dataset "old_dataset": shape (333217,), type "|V14"> >>> new_file = h5py.File('new_file.h5', 'a') >>> new_file.create_group('new_group') >>>