{
"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 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": {},
"source": [
"#### Version Check\n",
"Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'3.8.1'"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import plotly\n",
"plotly.__version__"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Simple Waterfall Chart"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plotly.com",
"responsive": true,
"showLink": false
},
"data": [
{
"connector": {
"line": {
"color": "rgb(63, 63, 63)"
}
},
"measure": [
"relative",
"relative",
"total",
"relative",
"relative",
"total"
],
"name": "20",
"orientation": "v",
"text": [
"+60",
"+80",
"",
"-40",
"-20",
"Total"
],
"textposition": "outside",
"type": "waterfall",
"uid": "d468398e-b2c0-4d27-a6cc-1a85334ffaab",
"x": [
"Sales",
"Consulting",
"Net revenue",
"Purchases",
"Other expenses",
"Profit before tax"
],
"y": [
60,
80,
0,
-40,
-20,
0
]
}
],
"layout": {
"showlegend": true,
"title": {
"text": "Profit and loss statement 2018"
}
}
},
"text/html": [
"\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
\n",
" \n",
" \n",
"
\n",
" \n",
"
waterfall chart displaying positive and negative"
},
"xaxis": {
"type": "linear"
},
"yaxis": {
"autorange": "reversed",
"type": "category"
}
}
},
"text/html": [
"\n",
" \n",
" \n",
"
\n",
" \n",
"
waterfall chart displaying positive and negative\", \n",
" yaxis = {\"type\":\"category\", \"autorange\":\"reversed\"}, \n",
" xaxis = {\"type\":\"linear\"}, \n",
" margin = {\"l\":150}, \n",
" showlegend = True\n",
")\n",
"\n",
"py.iplot(go.Figure([trace], layout), filename = \"horizontal_waterfall\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Reference\n",
"See https://plotly.com/python/reference/#waterfall for more information and chart attribute options!"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"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 /tmp/pip-1dh9l2dv-build\n",
"Installing collected packages: publisher\n",
" Found existing installation: publisher 0.13\n",
" Uninstalling publisher-0.13:\n",
" Successfully uninstalled publisher-0.13\n",
" Running setup.py install for publisher ... \u001b[?25ldone\n",
"\u001b[?25hSuccessfully installed publisher-0.13\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/mahdis/.virtualenvs/plotly3.3/lib/python3.6/site-packages/IPython/nbconvert.py:13: ShimWarning:\n",
"\n",
"The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead.\n",
"\n",
"/home/mahdis/.virtualenvs/plotly3.3/lib/python3.6/site-packages/publisher/publisher.py:53: UserWarning:\n",
"\n",
"Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
"\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",
" 'waterfall-charts.ipynb', 'python/waterfall-charts/', 'Waterfall Charts',\n",
" 'How to make waterfall plots in Python with Plotly.',\n",
" title= 'Python Waterfall Chart | Plotly',\n",
" has_thumbnail= 'true', thumbnail= 'thumbnail/waterfall-charts.jpg',\n",
" language= 'python',\n",
" # page_type= 'example_index', // note this is only if you want the tutorial to appear on the main page: plot.ly/python\n",
" display_as= 'basic', order= 6.2, ipynb= '/~notebook_demo/276',uses_plotly_offline= True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}