attributes dataset h5py


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  • What is h5py attributemanager?

    This is a little proxy object (an instance of h5py.AttributeManager) that lets you interact with attributes in a Pythonic way. As was the case with groups, the main thing to keep in mind here is that the attrs object works mostly like a Python dictionary. For example, you can create a new attribute simply by assigning a name to a value:

  • What are attributes in HDF5?

    Attributes are a critical part of what makes HDF5 a “self-describing” format. They are small named pieces of data attached directly to Group and Dataset objects. This is the official way to store metadata in HDF5. Each Group or Dataset has a small proxy object attached to it, at .attrs. Attributes have the following properties:

  • How does h5py work?

    H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets.

  • What is Empty dataset in h5py?

    Instead, it is a dataset with an associated type, no data, and no shape. In h5py, we represent this as either a dataset with shape None, or an instance of h5py.Empty. Empty datasets and attributes cannot be sliced.

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