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priyatharsanpriyatharsan
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Merge pull request plotly#1271 from plotly/convert-to-graphobjs
update maps docs with dict -> graph_objs
2 parents 367dce1 + cafee2d commit ecbe098

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‎_posts/python/maps/bubble-maps/2015-06-30-bubble-maps.html

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‎_posts/python/maps/bubble-maps/bubble-maps.ipynb

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"<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!"
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Version Check\n",
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"Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version."
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]
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"cell_type": "code",
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"outputs": [
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"data": {
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"text/plain": [
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"'3.6.1'"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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],
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"source": [
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"import plotly\n",
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"plotly.__version__"
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]
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},
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"text/html": [
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~jordanpeterson/1067.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/3195.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<plotly.tools.PlotlyDisplay object>"
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"execution_count": 2,
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"metadata": {},
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}
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"source": [
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"import plotly.plotly as py\n",
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"import plotly.graph_objs as go\n",
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"\n",
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"import pandas as pd\n",
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"for i in range(len(limits)):\n",
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" lim = limits[i]\n",
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" df_sub = df[lim[0]:lim[1]]\n",
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" city = dict(\n",
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" type = 'scattergeo',\n",
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" city = go.Scattergeo(\n",
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" locationmode = 'USA-states',\n",
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" lon = df_sub['lon'],\n",
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" lat = df_sub['lat'],\n",
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" text = df_sub['text'],\n",
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" marker = dict(\n",
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" marker = go.scattergeo.Marker(\n",
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" size = df_sub['pop']/scale,\n",
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" # sizeref = 2. * max(df_sub['pop']/scale) / (25 ** 2),\n",
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" color = colors[i],\n",
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" line = dict(width=0.5, color='rgb(40,40,40)'),\n",
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" line = go.scattergeo.marker.Line(\n",
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" width=0.5, color='rgb(40,40,40)'\n",
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" ),\n",
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" sizemode = 'area'\n",
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" ),\n",
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" name = '{0} - {1}'.format(lim[0],lim[1]) )\n",
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" cities.append(city)\n",
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"layout = dict(\n",
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" title = '2014 US city populations<br>(Click legend to toggle traces)',\n",
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"layout = go.Layout(\n",
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" title = go.layout.Title(\n",
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" text = '2014 US city populations<br>(Click legend to toggle traces)'\n",
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" ),\n",
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" showlegend = True,\n",
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" geo = dict(\n",
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" scope='usa',\n",
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" projection=dict( type='albers usa' ),\n",
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" geo = go.layout.Geo(\n",
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" scope = 'usa',\n",
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" projection = go.layout.geo.Projection(\n",
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" type='albers usa'\n",
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" ),\n",
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" showland = True,\n",
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" landcolor = 'rgb(217, 217, 217)',\n",
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" countrywidth=1,\n",
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" subunitcolor=\"rgb(255, 255, 255)\",\n",
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" countrycolor=\"rgb(255, 255, 255)\"\n",
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" ),\n",
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" )\n",
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"fig = dict(data=cities, layout=layout)\n",
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"py.iplot(fig, validate=False, filename='d3-bubble-map-populations')"
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"fig = go.Figure(data=cities, layout=layout)\n",
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"py.iplot(fig, filename='d3-bubble-map-populations')"
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"text/html": [
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~jordanpeterson/1144.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/2921.embed\" height=\"525px\" width=\"100%\"></iframe>"
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"<plotly.tools.PlotlyDisplay object>"
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" lat = df[ df['Month'] == i ]['Lat'],\n",
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" text = df[ df['Month'] == i ]['Value'],\n",
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" name = months[i],\n",
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" marker = dict(\n",
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" marker = go.scattergeo.Marker(\n",
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" size = df[ df['Month'] == i ]['Value']/50,\n",
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" color = colors[i-6],\n",
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" line = dict(width = 0)\n",
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" line = go.scattergeo.marker.Line(width = 0)\n",
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"]\n",
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"layout = go.Layout(\n",
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" title = 'Ebola cases reported by month in West Africa 2014<br> \\\n",
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" title = go.layout.Title(\n",
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" text = 'Ebola cases reported by month in West Africa 2014<br> \\\n",
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"Source: <a href=\"https://data.hdx.rwlabs.org/dataset/rowca-ebola-cases\">\\\n",
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"HDX</a>',\n",
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" geo = dict(\n",
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"HDX</a>'),\n",
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" geo = go.layout.Geo(\n",
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" scope = 'africa',\n",
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" landcolor = \"rgb(229, 229, 229)\",\n",
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" countrycolor = \"rgb(255, 255, 255)\" ,\n",
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" projection = dict(\n",
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" projection = go.layout.geo.Projection(\n",
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" type = 'mercator'\n",
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" lonaxis = dict( range= [ -15.0, -5.0 ] ),\n",
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" lataxis = dict( range= [ 0.0, 12.0 ] ),\n",
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" domain = dict(\n",
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" lonaxis = go.layout.geo.Lonaxis(\n",
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" range= [ -15.0, -5.0 ]\n",
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" ),\n",
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" lataxis = go.layout.geo.Lataxis(\n",
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" range= [ 0.0, 12.0 ]\n",
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" ),\n",
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" domain = go.layout.geo.Domain(\n",
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" geo2 = go.layout.Geo(\n",
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" landcolor = \"rgb(229, 229, 229)\",\n",
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" domain = go.layout.geo.Domain(\n",
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" x = [ 0, 0.6 ],\n",
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" legend = go.layout.Legend(\n",
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"fig = go.Figure(layout=layout, data=cases+inset)\n",
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"py.iplot(fig, validate=False, filename='West Africa Ebola cases 2014')"
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"py.iplot(fig, filename='West Africa Ebola cases 2014')"
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"Collecting git+https://github.com/plotly/publisher.git\n",
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" Cloning https://github.com/plotly/publisher.git to /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-req-build-s5ETWe\n",
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" Cloning https://github.com/plotly/publisher.git to c:\\users\\priyat~1\\appdata\\local\\temp\\pip-req-build-4lf8_u0r\n",
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" Running setup.py bdist_wheel for publisher ... \u001b[?25ldone\n",
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"\u001b[?25h Stored in directory: /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-ephem-wheel-cache-muSfgQ/wheels/99/3e/a0/fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
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" Stored in directory: C:\\Users\\PRIYAT~1\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-rulskn3k\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
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" has_thumbnail='true', thumbnail='thumbnail/bubble-map.jpg',\n",
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"version": "3.7.1"
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