套件：python-h5py（2.8.0-3）
general-purpose Python interface to hdf5 (Python 2)
HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data.
From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax.
H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.
This package provides the modules for Python 2.
其他與 python-h5py 有關的套件
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- dep: libc6 (>= 2.17)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libhdf5-103
- Hierarchical Data Format 5 (HDF5) - runtime files - serial version
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- dep: python
- interactive high-level object-oriented language (Python2 version)
- dep: python (<< 2.8)
- dep: python (>= 2.7~)
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- dep: python-numpy (>= 1:1.14.3)
- Numerical Python adds a fast array facility to the Python language
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- dep: python-numpy-abi9
- 本虛擬套件由這些套件填實： python-numpy
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- dep: python-six
- Python 2 and 3 compatibility library (Python 2 interface)
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- sug: python-h5py-doc
- documentation for h5py