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| <section id="introduction"> |
| <span id="guide"></span><h1>Introduction<a class="headerlink" href="#introduction" title="Link to this heading">#</a></h1> |
| <p>Welcome to the User Guide for the Python bindings of Arrow DataFusion. This guide aims to provide an introduction to |
| DataFusion through various examples and highlight the most effective ways of using it.</p> |
| <section id="installation"> |
| <h2>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h2> |
| <p>DataFusion is a Python library and, as such, can be installed via pip from <a class="reference external" href="https://pypi.org/project/datafusion">PyPI</a>.</p> |
| <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>datafusion |
| </pre></div> |
| </div> |
| <p>You can verify the installation by running:</p> |
| <div class="cell docutils container"> |
| <div class="cell_input docutils container"> |
| <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">datafusion</span> |
| <span class="n">datafusion</span><span class="o">.</span><span class="n">__version__</span> |
| </pre></div> |
| </div> |
| </div> |
| <div class="cell_output docutils container"> |
| <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>'54.0.0' |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <p>In this documentation we will also show some examples for how DataFusion integrates |
| with Jupyter notebooks. To install and start a Jupyter labs session use</p> |
| <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>jupyterlab |
| jupyter<span class="w"> </span>lab |
| </pre></div> |
| </div> |
| <p>To demonstrate working with DataFusion, we need a data source. Later in the tutorial we will show |
| options for data sources. For our first example, we demonstrate using a Pokemon dataset that you |
| can download |
| <a class="reference external" href="https://gist.githubusercontent.com/ritchie46/cac6b337ea52281aa23c049250a4ff03/raw/89a957ff3919d90e6ef2d34235e6bf22304f3366/pokemon.csv">here</a>.</p> |
| <p>With that file in place you can use the following python example to view the DataFrame in |
| DataFusion.</p> |
| <div class="cell docutils container"> |
| <div class="cell_input docutils container"> |
| <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span><span class="w"> </span><span class="nn">datafusion</span><span class="w"> </span><span class="kn">import</span> <span class="n">SessionContext</span> |
| |
| <span class="n">ctx</span> <span class="o">=</span> <span class="n">SessionContext</span><span class="p">()</span> |
| |
| <span class="n">df</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">"pokemon.csv"</span><span class="p">)</span> |
| |
| <span class="n">df</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> |
| </pre></div> |
| </div> |
| </div> |
| <div class="cell_output docutils container"> |
| <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>DataFrame() |
| +----+---------------------------+--------+--------+-------+----+--------+---------+---------+---------+-------+------------+-----------+ |
| | # | Name | Type 1 | Type 2 | Total | HP | Attack | Defense | Sp. Atk | Sp. Def | Speed | Generation | Legendary | |
| +----+---------------------------+--------+--------+-------+----+--------+---------+---------+---------+-------+------------+-----------+ |
| | 1 | Bulbasaur | Grass | Poison | 318 | 45 | 49 | 49 | 65 | 65 | 45 | 1 | false | |
| | 2 | Ivysaur | Grass | Poison | 405 | 60 | 62 | 63 | 80 | 80 | 60 | 1 | false | |
| | 3 | Venusaur | Grass | Poison | 525 | 80 | 82 | 83 | 100 | 100 | 80 | 1 | false | |
| | 3 | VenusaurMega Venusaur | Grass | Poison | 625 | 80 | 100 | 123 | 122 | 120 | 80 | 1 | false | |
| | 4 | Charmander | Fire | | 309 | 39 | 52 | 43 | 60 | 50 | 65 | 1 | false | |
| | 5 | Charmeleon | Fire | | 405 | 58 | 64 | 58 | 80 | 65 | 80 | 1 | false | |
| | 6 | Charizard | Fire | Flying | 534 | 78 | 84 | 78 | 109 | 85 | 100 | 1 | false | |
| | 6 | CharizardMega Charizard X | Fire | Dragon | 634 | 78 | 130 | 111 | 130 | 85 | 100 | 1 | false | |
| | 6 | CharizardMega Charizard Y | Fire | Flying | 634 | 78 | 104 | 78 | 159 | 115 | 100 | 1 | false | |
| | 7 | Squirtle | Water | | 314 | 44 | 48 | 65 | 50 | 64 | 43 | 1 | false | |
| | 8 | Wartortle | Water | | 405 | 59 | 63 | 80 | 65 | 80 | 58 | 1 | false | |
| | 9 | Blastoise | Water | | 530 | 79 | 83 | 100 | 85 | 105 | 78 | 1 | false | |
| | 9 | BlastoiseMega Blastoise | Water | | 630 | 79 | 103 | 120 | 135 | 115 | 78 | 1 | false | |
| | 10 | Caterpie | Bug | | 195 | 45 | 30 | 35 | 20 | 20 | 45 | 1 | false | |
| | 11 | Metapod | Bug | | 205 | 50 | 20 | 55 | 25 | 25 | 30 | 1 | false | |
| | 12 | Butterfree | Bug | Flying | 395 | 60 | 45 | 50 | 90 | 80 | 70 | 1 | false | |
| | 13 | Weedle | Bug | Poison | 195 | 40 | 35 | 30 | 20 | 20 | 50 | 1 | false | |
| | 14 | Kakuna | Bug | Poison | 205 | 45 | 25 | 50 | 25 | 25 | 35 | 1 | false | |
| | 15 | Beedrill | Bug | Poison | 395 | 65 | 90 | 40 | 45 | 80 | 75 | 1 | false | |
| | 15 | BeedrillMega Beedrill | Bug | Poison | 495 | 65 | 150 | 40 | 15 | 80 | 145 | 1 | false | |
| +----+---------------------------+--------+--------+-------+----+--------+---------+---------+---------+-------+------------+-----------+ |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <p>If you are working in a Jupyter notebook, you can also use the following to give you a table |
| display that may be easier to read.</p> |
| <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>display<span class="o">(</span>df<span class="o">)</span> |
| </pre></div> |
| </div> |
| <a class="reference internal image-reference" href="../_images/jupyter_lab_df_view.png"><img alt="Rendered table showing Pokemon DataFrame" src="../_images/jupyter_lab_df_view.png" style="width: 800px;" /> |
| </a> |
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