{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#### New to Plotly?\n", "Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by dowloading the client and [reading the primer](https://plotly.com/python/getting-started/).\n", "
You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online).\n", "
We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Imports\n", "The tutorial below imports [NumPy](http://www.numpy.org/), [Pandas](https://plotly.com/pandas/intro-to-pandas-tutorial/), and [SciPy](https://www.scipy.org/)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import plotly.plotly as py\n", "import plotly.graph_objs as go\n", "from plotly.tools import FigureFactory as FF\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import scipy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Average of 2 Curves" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Given two curves defined by functions $f$ and $g$ on $\\mathbb{R} \\rightarrow \\mathbb{R}$, **the average curve** $h$ of $f$ and $g$ is defined by $h = \\frac{f(x) + g(x)}{2} $ for $x \\in \\mathbb{R}$." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x = np.linspace(0, 2*np.pi, 100)\n", "f = np.sin(x)\n", "g = np.cos(x)\n", "h = [(f[j] + g[j])/2 for j in range(len(x))] \n", "\n", "trace1 = go.Scatter(\n", " x=x,\n", " y=f,\n", " mode='lines',\n", " name='f(x)',\n", " marker=dict(\n", " color='rgb(220, 20, 60)'\n", " )\n", ")\n", "\n", "trace2 = go.Scatter(\n", " x=x,\n", " y=g,\n", " mode='lines',\n", " name='g(x)',\n", " marker=dict(\n", " color='rgb(100, 149, 237)'\n", " )\n", ")\n", "\n", "trace3 = go.Scatter(\n", " x=x,\n", " y=h,\n", " mode='markers+lines',\n", " name='Average of f and g',\n", " marker=dict(\n", " color='rgb(128, 0, 128)',\n", " symbol='diamond-open',\n", " )\n", ")\n", "\n", "data = [trace1, trace2, trace3]\n", "py.iplot(data, filename='2-curves')" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Collecting git+https://github.com/plotly/publisher.git\n", " Cloning https://github.com/plotly/publisher.git to /var/folders/ld/6cl3s_l50wd40tdjq2b03jxh0000gp/T/pip-CdzaoW-build\n", "Installing collected packages: publisher\n", " Found existing installation: publisher 0.10\n", " Uninstalling publisher-0.10:\n", " Successfully uninstalled publisher-0.10\n", " Running setup.py install for publisher ... \u001b[?25l-\b \b\\\b \bdone\n", "\u001b[?25hSuccessfully installed publisher-0.10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/brandendunbar/Desktop/test/venv/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.\n", " \"You should import from nbconvert instead.\", ShimWarning)\n", "/Users/brandendunbar/Desktop/test/venv/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning: Did you \"Save\" this notebook before running this command? Remember to save, always save.\n", " warnings.warn('Did you \"Save\" this notebook before running this command? '\n" ] } ], "source": [ "from IPython.display import display, HTML\n", "\n", "display(HTML(''))\n", "display(HTML(''))\n", "\n", "! pip install git+https://github.com/plotly/publisher.git --upgrade\n", "import publisher\n", "publisher.publish(\n", " 'python_Average_Multiple_Curves.ipynb', 'python/average_multiple_curves/', 'Average Multiple Curves | plotly',\n", " 'Learn how to average the values of multiple curves with Python.',\n", " title='Average Multiple Curves in Python | plotly',\n", " name='Average Multiple Curves',\n", " language='python',\n", " page_type='example_index', has_thumbnail='false', display_as='mathematics', order=9,\n", " ipynb= '~notebook_demo/107')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }