\n", "
\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, check the version which version of the Python API installed on your machine:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import plotly\n", "plotly.__version__" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "'1.1.2'" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "If not the latest, upgrade using `pip`:\n", "\n", " $ pip install plotly --upgrade" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, if you have a plotly account as well as a credentials file set up on your machine, singing in to Plotly's servers is done automatically while importing `plotly.plotly`:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import plotly.plotly as py " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "For more info on how to sign up or sign in to Plotly, see Plotly's Python API User Guide\n", "\n", "If more convenient, you can manually sign in to Plotly by typing:\n", " >>> py.sign_in('your_username','your_api_key')\n", " \n", "Next, import the Plotly `tools` module:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import plotly.tools as tls " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And embed the original plot in this notebook, for reference:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "tls.embed(\"https://plot.ly/~randal_olson/10/\")\n", "\n", "# OR\n", "#tls.embed('randal_olson',10) " ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#####The data grid of the original figure looks like:\n", "\n", "
\n", "\n", "
![](\"http://i.imgur.com/rlYTtEI.png\")
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n", "\n", "#####The data grid of the remake looks like:\n", "\n", "
\n", "\n", "
![](\"http://i.imgur.com/SQddG4B.png\")
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n", "\n", "#####To make the above plot from the data grid\n", "\n", "* Select *Bubble charts* under *MAKE A PLOT*\n", "\n", "
![](\"http://i.imgur.com/BZ7TB4G.png\")
\n",
"\n",
"\n", "\n", "* Click on *Text* in the left-hand panel and select the appropriate column." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "To learn more about Plotly's Python API" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Refer to\n", "\n", "* our online documentation page or\n", "* our User Guide." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n",
" ![](\"http://i.imgur.com/4vwuxdJ.png\")
\n",
"
\n",
"\n",
"\n",
"Got Questions or Feedback?
\n", "\n", "About Plotly\n", "\n", "* email: feedback@plot.ly \n", "* tweet: \n", "@plotlygraphs\n", "\n", "Notebook styling ideas
\n", "\n", "Big thanks to\n", "\n", "* Cam Davidson-Pilon\n", "* Lorena A. Barba\n", "\n", "" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import display, HTML\n", "import urllib2\n", "url = 'https://raw.githubusercontent.com/plotly/python-user-guide/master/custom.css'\n", "display(HTML(urllib2.urlopen(url).read()))" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n" ], "metadata": {}, "output_type": "display_data", "text": [ "