{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array(['Liz & Jake', 'Sam, Natalya, Christina, Hanna',\n", " 'Isabel, Heather, Jeff', 'Marissa, Jordyn '], dtype=object)" ] }, "execution_count": 3, "metadata": { }, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "df = pd.read_csv('R_from_PV_data.csv')\n", "\n", "# get experimentor's names\n", "df.Experimentors.unique()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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ExperimentorsR valuesUnits
23Isabel, Heather, Jeff0.078L*atm/mol*K
24Isabel, Heather, Jeff0.081L*atm/mol*K
25Isabel, Heather, Jeff0.081L*atm/mol*K
26Isabel, Heather, Jeff0.081L*atm/mol*K
27Isabel, Heather, Jeff0.082L*atm/mol*K
28Isabel, Heather, Jeff0.083L*atm/mol*K
29Isabel, Heather, Jeff0.082L*atm/mol*K
30Isabel, Heather, Jeff0.082L*atm/mol*K
31Isabel, Heather, Jeff0.083L*atm/mol*K
32Isabel, Heather, Jeff0.083L*atm/mol*K
33Isabel, Heather, Jeff0.084L*atm/mol*K
34Isabel, Heather, Jeff0.085L*atm/mol*K
46Isabel, Heather, Jeff0.065L*atm/mol*K
47Isabel, Heather, Jeff0.078L*atm/mol*K
48Isabel, Heather, Jeff0.083L*atm/mol*K
49Isabel, Heather, Jeff0.083L*atm/mol*K
50Isabel, Heather, Jeff0.084L*atm/mol*K
51Isabel, Heather, Jeff0.084L*atm/mol*K
52Isabel, Heather, Jeff0.084L*atm/mol*K
53Isabel, Heather, Jeff0.084L*atm/mol*K
54Isabel, Heather, Jeff0.085L*atm/mol*K
55Isabel, Heather, Jeff0.085L*atm/mol*K
56Isabel, Heather, Jeff0.085L*atm/mol*K
57Isabel, Heather, Jeff0.086L*atm/mol*K
\n", "
" ] }, "execution_count": 6, "metadata": { }, "output_type": "execute_result" } ], "source": [ "# subset one group's work\n", "df[df.Experimentors==\"Isabel, Heather, Jeff\"]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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ExperimentorsR valuesUnits
23Isabel, Heather, Jeff0.078L*atm/mol*K
24Isabel, Heather, Jeff0.081L*atm/mol*K
25Isabel, Heather, Jeff0.081L*atm/mol*K
26Isabel, Heather, Jeff0.081L*atm/mol*K
27Isabel, Heather, Jeff0.082L*atm/mol*K
28Isabel, Heather, Jeff0.083L*atm/mol*K
29Isabel, Heather, Jeff0.082L*atm/mol*K
30Isabel, Heather, Jeff0.082L*atm/mol*K
31Isabel, Heather, Jeff0.083L*atm/mol*K
32Isabel, Heather, Jeff0.083L*atm/mol*K
33Isabel, Heather, Jeff0.084L*atm/mol*K
34Isabel, Heather, Jeff0.085L*atm/mol*K
46Isabel, Heather, Jeff0.065L*atm/mol*K
47Isabel, Heather, Jeff0.078L*atm/mol*K
48Isabel, Heather, Jeff0.083L*atm/mol*K
49Isabel, Heather, Jeff0.083L*atm/mol*K
50Isabel, Heather, Jeff0.084L*atm/mol*K
51Isabel, Heather, Jeff0.084L*atm/mol*K
52Isabel, Heather, Jeff0.084L*atm/mol*K
53Isabel, Heather, Jeff0.084L*atm/mol*K
54Isabel, Heather, Jeff0.085L*atm/mol*K
55Isabel, Heather, Jeff0.085L*atm/mol*K
56Isabel, Heather, Jeff0.085L*atm/mol*K
57Isabel, Heather, Jeff0.086L*atm/mol*K
\n", "
" ] }, "execution_count": 8, "metadata": { }, "output_type": "execute_result" } ], "source": [ "# save the group data to variable\n", "heather = df[df.Experimentors==\"Isabel, Heather, Jeff\"]\n", "heather" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "0.0041735450471834575" ] }, "execution_count": 10, "metadata": { }, "output_type": "execute_result" } ], "source": [ "# The std dev of this group's R values\n", "heather[\"R values\"].std()" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (Anaconda)", "language": "python", "name": "anaconda3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.4" } }, "nbformat": 4, "nbformat_minor": 0 }