{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "autoscroll": false, "collapsed": false, "ein.hycell": false, "ein.tags": "worksheet-0", "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "autoscroll": false, "collapsed": false, "ein.hycell": false, "ein.tags": "worksheet-0", "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "data = pd.read_excel(r'./../messungen/messungen.xlsx', sheet_name='A3a')\n", "data = data.sort_values(by=['Lcm'])" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "autoscroll": false, "collapsed": false, "ein.hycell": false, "ein.tags": "worksheet-0", "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "%matplotlib qt5\n", "plt.errorbar(data['Lcm'], data['mean'], yerr=data['sttdev'],\n", " xerr=.5, linestyle='none', marker='x', markersize=10,\n", " ecolor='red', elinewidth=1, barsabove=True,)\n", "plt.xlabel('L [cm]')\n", "plt.ylabel('P [mWatt]')\n", "plt.grid()\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "autoscroll": false, "collapsed": false, "ein.hycell": false, "ein.tags": "worksheet-0", "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "0 0.991\n", "1 1.010\n", "2 0.990\n", "4 0.825\n", "3 0.313\n", "Name: mean, dtype: float64" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data['mean']" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "autoscroll": false, "collapsed": false, "ein.hycell": false, "ein.tags": "worksheet-0", "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "argv": [ "/usr/bin/python3", "-m", "ipykernel_launcher", "-f", "{connection_file}" ], "display_name": "Python 3", "env": null, "interrupt_mode": "signal", "language": "python", "metadata": null, "name": "python3" }, "name": "Untitled1.ipynb" }, "nbformat": 4, "nbformat_minor": 2 }