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‎_posts/python/maps/scatter-plot-on-maps/2015-06-30-scatter-plot-on-map.html

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{% raw %}
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<h4 id="New-to-Plotly?">New to Plotly?<a class="anchor-link" href="#New-to-Plotly?">&#182;</a></h4><p>Plotly's Python library is free and open source! <a href="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <a href="https://plot.ly/python/getting-started/">reading the primer</a>.
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<br>You can set up Plotly to work in <a href="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <a href="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <a href="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.
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<h4 id="Version-Check">Version Check<a class="anchor-link" href="#Version-Check">&#182;</a></h4><p>Plotly's python package is updated frequently. Run <code>pip install plotly --upgrade</code> to use the latest version.</p>
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<span class="n">plotly</span><span class="o">.</span><span class="n">__version__</span>
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<h3 id="U.S.-Airports-Map">U.S. Airports Map<a class="anchor-link" href="#U.S.-Airports-Map">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">plotly.plotly</span> <span class="k">as</span> <span class="nn">py</span>
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<span class="kn">import</span> <span class="nn">plotly.graph_objs</span> <span class="k">as</span> <span class="nn">go</span>
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<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
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<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;https://raw.githubusercontent.com/plotly/datasets/master/2011_february_us_airport_traffic.csv&#39;</span><span class="p">)</span>
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<span class="n">scl</span> <span class="o">=</span> <span class="p">[</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="s2">&quot;rgb(5, 10, 172)&quot;</span><span class="p">],[</span><span class="mf">0.35</span><span class="p">,</span><span class="s2">&quot;rgb(40, 60, 190)&quot;</span><span class="p">],[</span><span class="mf">0.5</span><span class="p">,</span><span class="s2">&quot;rgb(70, 100, 245)&quot;</span><span class="p">],</span>\
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<span class="p">[</span><span class="mf">0.6</span><span class="p">,</span><span class="s2">&quot;rgb(90, 120, 245)&quot;</span><span class="p">],[</span><span class="mf">0.7</span><span class="p">,</span><span class="s2">&quot;rgb(106, 137, 247)&quot;</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span><span class="s2">&quot;rgb(220, 220, 220)&quot;</span><span class="p">]</span> <span class="p">]</span>
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<span class="n">data</span> <span class="o">=</span> <span class="p">[</span> <span class="nb">dict</span><span class="p">(</span>
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<span class="nb">type</span> <span class="o">=</span> <span class="s1">&#39;scattergeo&#39;</span><span class="p">,</span>
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<span class="n">data</span> <span class="o">=</span> <span class="p">[</span> <span class="n">go</span><span class="o">.</span><span class="n">Scattergeo</span><span class="p">(</span>
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<span class="n">locationmode</span> <span class="o">=</span> <span class="s1">&#39;USA-states&#39;</span><span class="p">,</span>
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<span class="n">lon</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;long&#39;</span><span class="p">],</span>
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<span class="n">lat</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;lat&#39;</span><span class="p">],</span>
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<span class="n">color</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">],</span>
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<span class="n">cmax</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span>
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<span class="n">colorbar</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
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<span class="n">title</span><span class="o">=</span><span class="s2">&quot;Incoming flights</span><span class="se">\n</span><span class="s2">February 2011&quot;</span><span class="p">,</span>
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<span class="n">titleside</span><span class="o">=</span><span class="s2">&quot;right&quot;</span>
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<span class="n">title</span><span class="o">=</span><span class="s2">&quot;Incoming flights&lt;br&gt;February 2011&quot;</span>
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<span class="n">fig</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span> <span class="p">)</span>
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<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span> <span class="p">)</span>
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<h4 id="Reference">Reference<a class="anchor-link" href="#Reference">&#182;</a></h4><p>See <a href="https://plot.ly/python/reference/#scattergeo">https://plot.ly/python/reference/#scattergeo</a> and <a href="https://plot.ly/python/reference/#layout-geo">https://plot.ly/python/reference/#layout-geo</a> for more information and chart attribute options!</p>
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‎_posts/python/maps/scatter-plot-on-maps/scatter-plot-on-map.ipynb

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"\n",
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"scl = [ [0,\"rgb(5, 10, 172)\"],[0.35,\"rgb(40, 60, 190)\"],[0.5,\"rgb(70, 100, 245)\"],\\\n",
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"Collecting git+https://github.com/plotly/publisher.git\n",
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" Running setup.py bdist_wheel for publisher: finished with status 'done'\n",
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" Stored in directory: C:\\Users\\thars\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-td6gfefz\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
272+
" Stored in directory: C:\\Users\\PRIYAT~1\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-6ol6d604\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
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"Successfully built publisher\n",
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"Installing collected packages: publisher\n",
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" Found existing installation: publisher 0.13\n",
@@ -339,7 +337,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.8"
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"version": "3.7.1"
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}
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},
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"nbformat": 4,

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