diff --git a/slurm-2sql.ipynb b/slurm-2sql.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..c14f7709e087d0d510d91ea9ec6922277c62cfe7 --- /dev/null +++ b/slurm-2sql.ipynb @@ -0,0 +1,68 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sqlite3\n", + "import slurm2sql\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "db = sqlite3.connect('test.db')\n", + "slurm2sql.slurm2sql(db, ['-S', '2020-03-18', '-a'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# For example, you can then convert to a dataframe:\n", + "df1 = pd.read_sql('SELECT * FROM slurm', db)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df1.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(\"more plots to come\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "language_info": { + "name": "python", + "pygments_lexer": "ipython3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}