{
"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!\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Version Check\n",
"Note: 2D Histograms are available in version 1.9.12+
\n",
"Run `pip install plotly --upgrade` to update your Plotly version"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2.0.2'"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import plotly\n",
"plotly.__version__"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2D Histogram with Slider Control ###"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Add slider controls to 2d histograms with the [postMessage API](https://github.com/plotly/postMessage-API). \n",
" See the [code on JSFiddle](https://jsfiddle.net/plotlygraphs/y9sdy76h/4/). \n",
" Watch [the 5 second video](https://raw.githubusercontent.com/plotly/documentation/gh-pages/all_static/images \n",
"/flight_conflicts.gif) of how it works. "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from IPython.core.display import display,HTML\n",
"display(HTML(''))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2D Histogram of a Bivariate Normal Distribution ###"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"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",
"x = np.random.randn(500)\n",
"y = np.random.randn(500)+1\n",
"\n",
"data = [\n",
" go.Histogram2d(\n",
" x=x,\n",
" y=y\n",
" )\n",
"]\n",
"py.iplot(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2D Histogram Binning and Styling Options ###"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 4,
"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",
"x = np.random.randn(500)\n",
"y = np.random.randn(500)+1\n",
"\n",
"data = [\n",
" go.Histogram2d(x=x, y=y, histnorm='probability',\n",
" autobinx=False,\n",
" xbins=dict(start=-3, end=3, size=0.1),\n",
" autobiny=False,\n",
" ybins=dict(start=-2.5, end=4, size=0.1),\n",
" colorscale=[[0, 'rgb(12,51,131)'], [0.25, 'rgb(10,136,186)'], [0.5, 'rgb(242,211,56)'], [0.75, 'rgb(242,143,56)'], [1, 'rgb(217,30,30)']]\n",
" )\n",
"]\n",
"py.iplot(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2D Histogram Overlaid with a Scatter Chart ###"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 1,
"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",
"x0 = np.random.randn(100)/5. + 0.5 # 5. enforces float division\n",
"y0 = np.random.randn(100)/5. + 0.5\n",
"x1 = np.random.rand(50)\n",
"y1 = np.random.rand(50) + 1.0\n",
"\n",
"x = np.concatenate([x0, x1])\n",
"y = np.concatenate([y0, y1])\n",
"\n",
"trace1 = go.Scatter(\n",
" x=x0,\n",
" y=y0,\n",
" mode='markers',\n",
" showlegend=False,\n",
" marker=dict(\n",
" symbol='x',\n",
" opacity=0.7,\n",
" color='white',\n",
" size=8,\n",
" line=dict(width=1),\n",
" )\n",
")\n",
"trace2 = go.Scatter(\n",
" x=x1,\n",
" y=y1,\n",
" mode='markers',\n",
" showlegend=False,\n",
" marker=dict(\n",
" symbol='circle',\n",
" opacity=0.7,\n",
" color='white',\n",
" size=8,\n",
" line=dict(width=1),\n",
" )\n",
")\n",
"trace3 = go.Histogram2d(\n",
" x=x,\n",
" y=y,\n",
" colorscale='YlGnBu',\n",
" zmax=10,\n",
" nbinsx=14,\n",
" nbinsy=14,\n",
" zauto=False,\n",
")\n",
"\n",
"layout = go.Layout(\n",
" xaxis=dict( ticks='', showgrid=False, zeroline=False, nticks=20 ),\n",
" yaxis=dict( ticks='', showgrid=False, zeroline=False, nticks=20 ),\n",
" autosize=False,\n",
" height=550,\n",
" width=550,\n",
" hovermode='closest',\n",
"\n",
")\n",
"data = [trace1, trace2, trace3]\n",
"fig = go.Figure(data=data, layout=layout)\n",
"\n",
"py.iplot(fig)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Reference\n",
"See https://plotly.com/python/reference/#histogram2d for more information and chart attribute options!\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"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 /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-req-build-LGAyhO\n",
"Building wheels for collected packages: publisher\n",
" Running setup.py bdist_wheel for publisher ... \u001b[?25ldone\n",
"\u001b[?25h Stored in directory: /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-ephem-wheel-cache-4H5seP/wheels/99/3e/a0/fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
"Successfully built publisher\n",
"Installing collected packages: publisher\n",
" Found existing installation: publisher 0.11\n",
" Uninstalling publisher-0.11:\n",
" Successfully uninstalled publisher-0.11\n",
"Successfully installed publisher-0.11\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/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",
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/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",
" '2d-histograms.ipynb', 'python/2D-Histogram/', 'Python 2D Histograms | plotly',\n",
" 'How to make 2D Histograms in Python with Plotly.',\n",
" title = 'Python 2D Histograms | plotly',\n",
" name = '2D Histograms',\n",
" has_thumbnail='true', thumbnail='thumbnail/histogram2d.jpg', \n",
" language='python', display_as='statistical', order=6,\n",
" ipynb= '~notebook_demo/24') "
]
},
{
"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": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 1
}