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merged 9 commits into from
Feb 22, 2018
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Choropleth Docs #879

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4dc9752
county_choropleth first draft
Coding-with-Adam Feb 19, 2018
90d30d5
replaced broken choropleth-maps notebook
Coding-with-Adam Feb 21, 2018
8b779b1
regenerated HTML for choroeplth-maps doc
Coding-with-Adam Feb 21, 2018
5dff3c7
create mapbox-choropleth doc and chelsea's first round of comments fo…
Coding-with-Adam Feb 21, 2018
f73881e
hide mapbox doc page on main plotly/python page
Coding-with-Adam Feb 21, 2018
80aedac
corrected redirect url
Coding-with-Adam Feb 21, 2018
d9e6755
change titles for maps docs
Coding-with-Adam Feb 21, 2018
61bf711
2nd round of comments
Coding-with-Adam Feb 21, 2018
448dd64
add mapbox back to index page
Coding-with-Adam Feb 22, 2018
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223 changes: 95 additions & 128 deletions _posts/python/maps/choropleth-maps/2015-06-30-Choropleth_maps.html
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245 changes: 70 additions & 175 deletions _posts/python/maps/choropleth-maps/Choropleth_maps.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -14,20 +14,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### United States Choropleth Map"
"#### United States Choropleth Map"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~chelsea_lyn/7898.embed\" height=\"525px\" width=\"100%\"></iframe>"
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/6694.embed\" height=\"525px\" width=\"100%\"></iframe>"
],
"text/plain": [
"<plotly.tools.PlotlyDisplay object>"
Expand Down Expand Up @@ -89,20 +87,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### World Choropleth Map"
"#### World Choropleth Map"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~chelsea_lyn/7903.embed\" height=\"525px\" width=\"100%\"></iframe>"
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/6696.embed\" height=\"525px\" width=\"100%\"></iframe>"
],
"text/plain": [
"<plotly.tools.PlotlyDisplay object>"
Expand Down Expand Up @@ -160,20 +156,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Choropleth Inset Map"
"#### Choropleth Inset Map"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~chelsea_lyn/13235.embed\" height=\"525px\" width=\"100%\"></iframe>"
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/6698.embed\" height=\"525px\" width=\"100%\"></iframe>"
],
"text/plain": [
"<plotly.tools.PlotlyDisplay object>"
Expand Down Expand Up @@ -276,136 +270,81 @@
")\n",
"\n",
"fig = go.Figure(layout=layout, data=cases+inset)\n",
"py.iplot(fig, validate=False, filename='West Africa Ebola cases 2014')\n"
"py.iplot(fig, validate=False, filename='West Africa Ebola cases 2014')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PACE Approved Legislation "
"#### Full County Choropleths\n",
"For the full county choropleth doc page checkout https://plot.ly/python/county-choropleth/"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The draw time for this plot will be slow for clients without much RAM.\n"
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this warning is ok

]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/plotly/api/v1/clientresp.py:40: UserWarning:\n",
Copy link
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can you remove this warning from the docs?
(you can run the cell twice or run:

import warnings
warnings.filterwarnings('ignore')

in the beginning of your notebook )

"\n",
"Estimated Draw Time Slow\n",
"\n"
]
},
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~Diksha_Gabha/2513.embed\" height=\"525px\" width=\"800px\"></iframe>"
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/6672.embed\" height=\"450px\" width=\"900px\"></iframe>"
],
"text/plain": [
"<plotly.tools.PlotlyDisplay object>"
]
},
"execution_count": 1,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import plotly.plotly as py\n",
"from plotly.graph_objs import *\n",
"import plotly.figure_factory as ff\n",
"\n",
"trace1 = Choropleth(\n",
" z=['1', '1', '1', '1', '1', '1', '1'],\n",
" autocolorscale=False,\n",
" colorscale=[[0, 'rgb(255,255,255)'], [1, 'rgb(186,58,51)']],\n",
" hoverinfo='text',\n",
" locationmode='USA-states',\n",
" locations=['AR', 'GA', 'KY', 'MO', 'UT', 'TX', 'WY'],\n",
" name='Republican',\n",
" showscale=False,\n",
" text=['Arkansas', 'Georgia', 'Kentucky', 'Missouri', 'Utah', 'Texas', 'Wyoming'],\n",
" zauto=False,\n",
" zmax=1,\n",
" zmin=0,\n",
")\n",
"trace2 = Choropleth(\n",
" z=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\n",
" autocolorscale=False,\n",
" colorscale=[[0, 'rgb(255,255,255)'], [1, 'rgb(68,94,150)']],\n",
" hoverinfo='text',\n",
" locationmode='USA-states',\n",
" locations=['CA', 'CI', 'DOC', 'IL', 'MD', 'NJ', 'NM', 'NY', 'OR', 'RI', 'VT'],\n",
" name='Democrat',\n",
" showscale=False,\n",
" text=['California', 'Connecticut', 'District of Columbia', 'Illinois', \n",
" 'Maryland', 'New Jersey', 'New Mexico', 'New York', 'Oregon',\n",
" 'Rhode Island', 'Vermont'],\n",
" zauto=False,\n",
" zmax=1,\n",
" zmin=0,\n",
")\n",
"trace3 = Choropleth(\n",
" z=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\n",
" autocolorscale=False,\n",
" colorscale=[[0, 'rgb(255, 255, 255)'], [1, 'rgb(187, 170, 144)']],\n",
" hoverinfo='text',\n",
" locationmode='USA-states',\n",
" locations=['CO', 'FL', 'MI', 'MN', 'NH', 'OH', 'VA', 'WI'],\n",
" name='Swing State',\n",
" showscale=False,\n",
" text=['Colorado', 'Florida', 'Michigan', 'Minnesota', \n",
" 'New Hampshire', 'Ohio', 'Virginia', 'Wisconsin'],\n",
" zauto=False,\n",
" zmax=1,\n",
" zmin=0,\n",
")\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"data = Data([trace1, trace2, trace3])\n",
"layout = Layout(\n",
" autosize=False,\n",
" geo=dict(\n",
" countrycolor='rgb(102, 102, 102)',\n",
" countrywidth=0.1,\n",
" lakecolor='rgb(255, 255, 255)',\n",
" landcolor='rgba(237, 247, 138, 0.28)',\n",
" lonaxis=dict(\n",
" gridwidth=1.5999999999999999,\n",
" range=[-180, -50],\n",
" showgrid=False\n",
" ),\n",
" projection=dict(\n",
" type='albers usa'\n",
" ),\n",
" scope='usa',\n",
" showland=True,\n",
" showrivers=False,\n",
" showsubunits=True,\n",
" subunitcolor='rgb(102, 102, 102)',\n",
" subunitwidth=0.5\n",
" ),\n",
" hovermode='closest',\n",
" images=list([\n",
" dict(\n",
" x=1,\n",
" y=0.6,\n",
" sizex=0.155,\n",
" sizey=0.4,\n",
" source='http://i.imgur.com/Xe3f1zg.png',\n",
" xanchor='right',\n",
" xref='paper',\n",
" yanchor='bottom',\n",
" yref='paper'\n",
" )\n",
" ]),\n",
" showlegend=True,\n",
" title='<b>PACE Approved legislation</b>',\n",
" width= 800,\n",
" margin = dict(\n",
" l=0,\n",
" r=50,\n",
" b=100,\n",
" t=100,\n",
" pad=4)\n",
"df_sample = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/laucnty16.csv')\n",
"df_sample['State FIPS Code'] = df_sample['State FIPS Code'].apply(lambda x: str(x).zfill(2))\n",
"df_sample['County FIPS Code'] = df_sample['County FIPS Code'].apply(lambda x: str(x).zfill(3))\n",
"df_sample['FIPS'] = df_sample['State FIPS Code'] + df_sample['County FIPS Code']\n",
"\n",
"colorscale = [\"#f7fbff\",\"#ebf3fb\",\"#deebf7\",\"#d2e3f3\",\"#c6dbef\",\"#b3d2e9\",\"#9ecae1\",\n",
" \"#85bcdb\",\"#6baed6\",\"#57a0ce\",\"#4292c6\",\"#3082be\",\"#2171b5\",\"#1361a9\",\n",
" \"#08519c\",\"#0b4083\",\"#08306b\"]\n",
"endpts = list(np.linspace(1, 12, len(colorscale) - 1))\n",
"fips = df_sample['FIPS'].tolist()\n",
"values = df_sample['Unemployment Rate (%)'].tolist()\n",
"\n",
"fig = ff.create_choropleth(\n",
" fips=fips, values=values, scope=['usa'],\n",
" binning_endpoints=endpts, colorscale=colorscale,\n",
" show_state_data=False,\n",
" show_hover=True, centroid_marker={'opacity': 0},\n",
" asp=2.9, title='USA by Unemployment %',\n",
" legend_title='% unemployed'\n",
")\n",
"fig = Figure(data=data, layout=layout)\n",
"py.iplot(fig, filename='pace')"
"py.iplot(fig, filename='choropleth_full_usa')"
]
},
{
Expand All @@ -418,14 +357,8 @@
},
{
"cell_type": "code",
<<<<<<< HEAD
"execution_count": 1,
=======
"execution_count": 2,
>>>>>>> b22a31ab6cd91d151ab51741f3fcb448574008a5
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -456,58 +389,22 @@
"output_type": "stream",
"text": [
"Collecting git+https://github.com/plotly/publisher.git\n",
<<<<<<< HEAD
" Cloning https://github.com/plotly/publisher.git to /var/folders/ld/6cl3s_l50wd40tdjq2b03jxh0000gp/T/pip-k8JnpP-build\n",
" Cloning https://github.com/plotly/publisher.git to /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-OKLJ7r-build\n",
"Installing collected packages: publisher\n",
" Found existing installation: publisher 0.11\n",
" Uninstalling publisher-0.11:\n",
" Successfully uninstalled publisher-0.11\n",
" Running setup.py install for publisher ... \u001b[?25l-\b \b\\\b \bdone\n",
"\u001b[?25hSuccessfully installed publisher-0.10\n"
=======
" Cloning https://github.com/plotly/publisher.git to /tmp/pip-ittp0v-build\n",
"Installing collected packages: publisher\n",
" Running setup.py install for publisher ... \u001b[?25l-\b \berror\n",
" Complete output from command /usr/bin/python -u -c \"import setuptools, tokenize;__file__='/tmp/pip-ittp0v-build/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\\r\\n', '\\n'), __file__, 'exec'))\" install --record /tmp/pip-lGFm1Y-record/install-record.txt --single-version-externally-managed --compile:\n",
" running install\n",
" running build\n",
" running build_py\n",
" creating build\n",
" creating build/lib.linux-x86_64-2.7\n",
" creating build/lib.linux-x86_64-2.7/publisher\n",
" copying publisher/publisher.py -> build/lib.linux-x86_64-2.7/publisher\n",
" copying publisher/__init__.py -> build/lib.linux-x86_64-2.7/publisher\n",
" running install_lib\n",
" creating /usr/local/lib/python2.7/dist-packages/publisher\n",
" error: could not create '/usr/local/lib/python2.7/dist-packages/publisher': Permission denied\n",
" \n",
" ----------------------------------------\n",
"\u001b[31mCommand \"/usr/bin/python -u -c \"import setuptools, tokenize;__file__='/tmp/pip-ittp0v-build/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\\r\\n', '\\n'), __file__, 'exec'))\" install --record /tmp/pip-lGFm1Y-record/install-record.txt --single-version-externally-managed --compile\" failed with error code 1 in /tmp/pip-ittp0v-build/\u001b[0m\n",
"\u001b[?25h"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/diksha/anaconda2/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning:\n",
"\n",
"The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.\n",
"\n",
"/home/diksha/anaconda2/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"
>>>>>>> b22a31ab6cd91d151ab51741f3fcb448574008a5
" Running setup.py install for publisher ... \u001b[?25ldone\n",
"\u001b[?25hSuccessfully installed publisher-0.11\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",
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated since IPython 4.0. 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",
"/Library/Frameworks/Python.framework/Versions/2.7/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"
]
}
Expand All @@ -521,14 +418,13 @@
"! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
"import publisher\n",
"publisher.publish(\n",
" 'Choropleth_maps.ipynb', 'python/choropleth-maps/', 'Choropleth Maps | plotly',\n",
" 'How to make Choropleth maps in Python with Plotly.',\n",
" title = 'Choropleth Maps | plotly',\n",
" name = 'Choropleth Maps',\n",
" 'Choropleth_maps.ipynb', 'python/choropleth-maps/', 'Choropleth Maps',\n",
" 'How to make choropleth maps in Python with Plotly.',\n",
" title = 'Python Choropleth Maps | Plotly',\n",
" has_thumbnail='true', thumbnail='thumbnail/choropleth.jpg', \n",
" language='python', page_type='example_index',\n",
" display_as='maps', order=1,\n",
" ipynb= '~notebook_demo/55')"
" language='python',\n",
" display_as='maps', order=1, ipynb='~notebook_demo/55',\n",
" uses_plotly_offline=False)"
]
},
{
Expand All @@ -542,7 +438,6 @@
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python 2",
"language": "python",
Expand All @@ -558,9 +453,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
"version": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 0
"nbformat_minor": 1
}
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