H5py

Released: Oct 9,

The kinds of cosmological simulations that I run generate huge amounts of data, and to analyse them I need to be able access the exact data that I want quickly and painlessly. HDF5 is one answer. It provides parallel IO, and carries out a bunch of low level optimisations under the hood to make queries faster and storage requirements smaller. Getting h5py is relatively painless in comparison, just use your favourite package manager. We first load the numpy and h5py modules.

H5py

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. For example, you can iterate over datasets in a file, or check out the. You don't need to know anything special about HDF5 to get started. Almost anything you can do from C in HDF5, you can do from h5py. Best of all, the files you create are in a widely-used standard binary format, which you can exchange with other people , including those who use programs like IDL and MATLAB. Check out the install guide. All development for h5py takes place on GitHub. Before sending a pull request, please ping the mailing list at Google Groups. The h5py user manual is a great place to start; you may also want to check out the FAQ. General questions are always welcome on the mailing list. Development All development for h5py takes place on GitHub.

Just provide a name for the dataset, and the h5py array.

Released: Apr 8, View statistics for this project via Libraries. The h5py package provides both a high- and low-level interface to the HDF5 library from Python. A strong emphasis on automatic conversion between Python Numpy datatypes and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. Oct 9, Jun 20,

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. For example, you can iterate over datasets in a file, or check out the. You don't need to know anything special about HDF5 to get started. Almost anything you can do from C in HDF5, you can do from h5py.

H5py

Released: Feb 8, View statistics for this project via Libraries. The library is provides a high-level interface to the REST specification that is generally easier to use than invoking http calls directly. The package is based on the popular h5py package and aims to be source compatible with the h5py high level interface. By default the examples look for a local instance of HSDS. When using AWS Lambda some additional environment variables need to be set:. For direct mode, some additional environment variables are needed to be defined:. Use hstouch command to create the folder before running the test, e. Feb 8,

Nicola cavanis topless

Sep 6, Almost anything you can do from C in HDF5, you can do from h5py. Close Hashes for h5py Project links Homepage. Oct 20, May 24, Mar 14, Before sending a pull request, please ping the mailing list at Google Groups. Download the file for your platform. View statistics for this project via Libraries. Project description Project details Release history Download files Project description The h5py package provides both a high- and low-level interface to the HDF5 library from Python.

The kinds of cosmological simulations that I run generate huge amounts of data, and to analyse them I need to be able access the exact data that I want quickly and painlessly.

Read and write HDF5 files from Python. Jan 7, Dec 9, Mar 14, Dec 2, Source Distribution. Apr 22, Jan 5, May 24, This creates a file object, hf , which has a bunch of associated methods. Apr 8, Supports HDF5 versions 1. Oct 9,