h5py: Correct way to slice array datasets

Question

I\'m a bit confused here:

As far as I have understood, h5py\'s .value method reads an entire dataset and dumps it into an array, which is slow and disco

Answer 1

Based on the title of your post, the 'correct' way to slice array datasets is to use the builtin slice notation

All of your answers would be equivalent to file["test"][:]

[:] selects all elements in the array

More information about slicing notation can be found here, http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html

I use hdf5 + python often, I've never had to use the .value methods. When you access a dataset in an array like such as myarr = file["test"]

python copies the dataset in the hdf5 into an array for you already.