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fixed geo-streaming example
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‎_posts/user_guide_python/2015-06-30-geo-streaming.html

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@@ -53,7 +53,7 @@ <h2 id="Streaming-to-a-Map-and-Geo-Streaming">Streaming to a Map and Geo-Streami
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<div class=" highlight hl-ipython2"><pre><span class="c"># (*) Import plotly package</span>
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<pre>&apos;1.9.9&apos;</pre>
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<pre>&apos;1.9.10&apos;</pre>
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<div class=" highlight hl-ipython2"><pre><span class="c"># (*) To communicate with Plotly&#39;s server</span>
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</div>
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<div class=" highlight hl-ipython2"><pre><span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
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<div class=" highlight hl-ipython2"><pre><span class="n">stream_tokens</span> <span class="o">=</span> <span class="n">tls</span><span class="o">.</span><span class="n">get_credentials_file</span><span class="p">()[</span><span class="s">&#39;stream_ids&#39;</span><span class="p">]</span>
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</div>
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<div class=" highlight hl-ipython2"><pre><span class="n">stream_id</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">token</span><span class="o">=</span><span class="n">token</span><span class="p">,</span> <span class="n">maxpoints</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
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<div class=" highlight hl-ipython2"><pre><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="n">width</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
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<span class="n">color</span><span class="o">=</span><span class="s">&#39;rgba(102, 102, 102)&#39;</span>
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<span class="p">),</span>
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<span class="n">stream</span><span class="o">=</span><span class="n">stream_id</span>
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<span class="p">))]</span>
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<span class="p">),</span>
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<span class="n">stream</span><span class="o">=</span><span class="n">stream_id</span><span class="p">,</span>
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<span class="n">name</span><span class="o">=</span><span class="s">&quot;Plane&quot;</span><span class="p">)]</span>
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<span class="n">layout</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="s">&#39;Busy Airplane Streaming&#39;</span><span class="p">,</span>
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<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~demo_account/21.embed" height="525px" width="100%"></iframe>
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<div class=" highlight hl-ipython2"><pre><span class="n">s</span> <span class="o">=</span> <span class="n">py</span><span class="o">.</span><span class="n">Stream</span><span class="p">(</span><span class="n">stream_id</span><span class="o">=</span><span class="n">token</span><span class="p">)</span>
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<p>Below we'll wrap the relevant code to generate the data stream into a function we call <code>lets_stream()</code>.
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We will also follow up with a while loop that will keep our stream up persistently.</p>
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We will also follow up with a while loop that will keep our stream up persistently. Notice that the small green dot is the departing airport, the red dot is the arrival airport, and the blue dot is the plane!</p>
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<div class=" highlight hl-ipython2"><pre><span class="k">def</span> <span class="nf">lets_stream</span><span class="p">():</span>
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<div class=" highlight hl-ipython2"><pre><span class="kn">import</span> <span class="nn">datetime</span>
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<span class="kn">import</span> <span class="nn">time</span>
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<span class="k">def</span> <span class="nf">lets_stream</span><span class="p">():</span>
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</div>{% endraw %}

‎_posts/user_guide_python/geo-streaming.ipynb

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"Below we'll wrap the relevant code to generate the data stream into a function we call `lets_stream()`.\n",
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"We will also follow up with a while loop that will keep our stream up persistently. Notice that the small green dot is the departing airport, the red dot is the arrival airport, and the blue dot is the plane!"
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{
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"ename": "KeyboardInterrupt",
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-8-79700bba9edc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 44\u001b[0;31m \u001b[0mlets_stream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 45\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 46\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'log.txt'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'a+'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m<ipython-input-8-79700bba9edc>\u001b[0m in \u001b[0;36mlets_stream\u001b[0;34m()\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mabs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstall\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.01\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheartbeat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mabs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstall\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.01\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 38\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[0mdepart\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marrive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
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]
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}
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],
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"outputs": [],
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"source": [
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"import datetime\n",
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"import time\n",

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