{ "metadata": { "language_info": { "mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "3.5.5", "file_extension": ".py", "pygments_lexer": "ipython3", "name": "python", "codemirror_mode": { "version": 3, "name": "ipython" } }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat_minor": 0, "nbformat": 4, "cells": [ { "metadata": { "collapsed": false }, "cell_type": "code", "execution_count": null, "outputs": [], "source": [ "%matplotlib inline" ] }, { "metadata": {}, "cell_type": "markdown", "source": [ "\n# Read Antares HDF5 Files\n\n\nSeatray has a builtint HDF5 writer. This is how to read the file.\n\n" ] }, { "metadata": { "collapsed": false }, "cell_type": "code", "execution_count": null, "outputs": [], "source": [ "import pandas as pd\n\nstore = pd.HDFStore(\"example.hd5\", mode='r')\n\n# Do a selection on the dataframe\n\nstore.CalibratedPulses[store.CalibratedPulses.Event == 2]" ] }, { "metadata": {}, "cell_type": "markdown", "source": [ ".. raw:: html\n\n
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586 rows \u00d7 12 columns

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