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‎_posts/pandas/colorlover/2015-06-30-colorlover-with-pandas.html

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permalink: pandas/colorlover/
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permalink: pandas/colorlover
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description: How to easily add colorscales to pandas dataframe using Colorlover and Plotly.
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title: Pandas Adding Colorscales with Colorlover | plotly
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<h2 id="Adding-Colorscales-to-Pandas-DataFrames">Adding Colorscales to Pandas DataFrames<a class="anchor-link" href="#Adding-Colorscales-to-Pandas-DataFrames">&#182;</a></h2><p><code>Colorlover</code> is a great library for easily accessing the colorscales. We can use it to conveniently provide the colorscales for Plotly Charts. We will be using <a href="https://github.com/santosjorge/cufflinks"><code>cufflinks</code></a> library, which binds Plotly directly to pandas dataframes.</p>
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<h2 id="Adding-Colorscales-to-Pandas-DataFrames">Adding Colorscales to Pandas DataFrames<a class="anchor-link" href="#Adding-Colorscales-to-Pandas-DataFrames">&#182;</a></h2><p><code>Colorlover</code> is a great library for easily accessing colorscales. We can use it to conveniently provide the colorscales for Plotly Charts! We will be using the <a href="https://github.com/santosjorge/cufflinks"><code>cufflinks</code></a> library, which binds Plotly directly to pandas dataframes.</p>
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<p>To install Cufflinks:</p>
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<div class="prompt input_prompt">In&nbsp;[1]:</div>
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<div class=" highlight hl-ipython2"><pre><span class="o">!</span> pip install cufflinks
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<p><code>$ pip install cufflinks</code></p>
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<div class=" highlight hl-ipython2"><pre><span class="o">!</span>pip install colorlover
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<p><code>$ pip install colorlover</code></p>
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<p>For example, To access all the colorscales with 9 colors:</p>
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<p>For example, to access all the colorscales with 9 colors:</p>
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<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~tarzzz/1847.embed" height="587px" width="1116px"></iframe>
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<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~chelsea_lyn/11299.embed" height="525px" width="100%"></iframe>
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<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~tarzzz/1857.embed" height="587px" width="1116px"></iframe>
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<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~chelsea_lyn/11301.embed" height="525px" width="100%"></iframe>
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<p>List of all the colorscales supported by <code>colorlover</code> is available <a href="https://plot.ly/ipython-notebooks/color-scales/#All-colors" target="_blank">Here</a></p>
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<p>A list of all the colorscales supported by <code>colorlover</code> is available <a href="http://nbviewer.jupyter.org/gist/jackparmer/4696226c9b6b931bbdf6#All-colors" target="_blank">here!</a></p>
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‎_posts/pandas/colorlover/colorlover-with-pandas.ipynb

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"## Adding Colorscales to Pandas DataFrames\n",
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"`Colorlover` is a great library for easily accessing the colorscales. We can use it to conveniently provide the colorscales for Plotly Charts. We will be using [`cufflinks`](https://github.com/santosjorge/cufflinks) library, which binds Plotly directly to pandas dataframes.\n",
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"`Colorlover` is a great library for easily accessing colorscales. We can use it to conveniently provide the colorscales for Plotly Charts! We will be using the [`cufflinks`](https://github.com/santosjorge/cufflinks) library, which binds Plotly directly to pandas dataframes.\n",
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"A list of all the colorscales supported by `colorlover` is available <a href=\"http://nbviewer.jupyter.org/gist/jackparmer/4696226c9b6b931bbdf6#All-colors\" target=\"_blank\">here!</a>"
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