{ "cells": [ { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "#### New to Plotly?\n", "Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading 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": { "deletable": true, "editable": true }, "source": [ "#### Basic Parametric Plot" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import plotly.plotly as py\n", "import plotly.graph_objs as go\n", "\n", "import numpy as np\n", "\n", "s = np.linspace(0, 2 * np.pi, 240)\n", "t = np.linspace(0, np.pi, 240)\n", "tGrid, sGrid = np.meshgrid(s, t)\n", "\n", "r = 2 + np.sin(7 * sGrid + 5 * tGrid) # r = 2 + sin(7s+5t)\n", "x = r * np.cos(sGrid) * np.sin(tGrid) # x = r*cos(s)*sin(t)\n", "y = r * np.sin(sGrid) * np.sin(tGrid) # y = r*sin(s)*sin(t)\n", "z = r * np.cos(tGrid) # z = r*cos(t)\n", "\n", "surface = go.Surface(x=x, y=y, z=z)\n", "data = [surface]\n", "\n", "layout = go.Layout(\n", " title='Parametric Plot',\n", " scene=dict(\n", " xaxis=dict(\n", " gridcolor='rgb(255, 255, 255)',\n", " zerolinecolor='rgb(255, 255, 255)',\n", " showbackground=True,\n", " backgroundcolor='rgb(230, 230,230)'\n", " ),\n", " yaxis=dict(\n", " gridcolor='rgb(255, 255, 255)',\n", " zerolinecolor='rgb(255, 255, 255)',\n", " showbackground=True,\n", " backgroundcolor='rgb(230, 230,230)'\n", " ),\n", " zaxis=dict(\n", " gridcolor='rgb(255, 255, 255)',\n", " zerolinecolor='rgb(255, 255, 255)',\n", " showbackground=True,\n", " backgroundcolor='rgb(230, 230,230)'\n", " )\n", " )\n", ")\n", "\n", "fig = go.Figure(data=data, layout=layout)\n", "py.iplot(fig, filename='Parametric_plot')" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "#### Parameteric Plot with Colorscale" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import plotly.plotly as py\n", "import plotly.graph_objs as go\n", "\n", "import numpy as np\n", "\n", "dphi, dtheta = np.pi / 250.0, np.pi / 250.0\n", "[phi, theta] = np.mgrid[0:np.pi + dphi * 1.5:dphi, 0:2 * np.pi +\n", " dtheta * 1.5:dtheta]\n", "m0 = 4; m1 = 3; m2 = 2; m3 = 3; m4 = 6; m5 = 2; m6 = 6; m7 = 4;\n", "\n", "# Applying the parametric equation..\n", "r = (np.sin(m0 * phi) ** m1 + np.cos(m2 * phi) ** m3 +\n", " np.sin(m4 * theta) ** m5 + np.cos(m6 * theta) ** m7)\n", "x = r * np.sin(phi) * np.cos(theta)\n", "y = r * np.cos(phi)\n", "z = r * np.sin(phi) * np.sin(theta)\n", "\n", "\n", "surface = go.Surface(x=x, y=y, z=z, colorscale='Viridis')\n", "data = [surface]\n", "layout = go.Layout(\n", " title='Another Parametric Plot',\n", " scene=dict(\n", " xaxis=dict(\n", " gridcolor='rgb(255, 255, 255)',\n", " zerolinecolor='rgb(255, 255, 255)',\n", " showbackground=True,\n", " backgroundcolor='rgb(230, 230,230)'\n", " ),\n", " yaxis=dict(\n", " gridcolor='rgb(255, 255, 255)',\n", " zerolinecolor='rgb(255, 255, 255)',\n", " showbackground=True,\n", " backgroundcolor='rgb(230, 230,230)'\n", " ),\n", " zaxis=dict(\n", " gridcolor='rgb(255, 255, 255)',\n", " zerolinecolor='rgb(255, 255, 255)',\n", " showbackground=True,\n", " backgroundcolor='rgb(230, 230,230)'\n", " )\n", " )\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "py.iplot(fig, filename='parametric-plot-viridis')" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "#### Reference" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "See https://plotly.com/python/reference/#surface for more information!" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "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-fgJlrn-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", " \n", "import publisher\n", "publisher.publish(\n", " '3d-parametric.ipynb', 'python/3d-parametric-plots/', '3D Parametric Plots | plotly',\n", " 'How to 3D Parameteric Plots in Python',\n", " title= '3D Parametric Plots in Python | plotly',\n", " name = 'Parametric Plots',\n", " has_thumbnail='true', thumbnail='thumbnail/parametric.jpg', \n", " language='python',\n", " display_as='3d_charts', order=9,\n", " ipynb= '~notebook_demo/69')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [] } ], "metadata": { "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": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }