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| <section id="basic-operations"> |
| <h1>Basic Operations<a class="headerlink" href="#basic-operations" title="Link to this heading">#</a></h1> |
| <p>In this section, you will learn how to display essential details of DataFrames using specific functions.</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="kn">import</span><span class="w"> </span><span class="nn">random</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">from_pydict</span><span class="p">({</span> |
| <span class="s2">"nrs"</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">],</span> |
| <span class="s2">"names"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"python"</span><span class="p">,</span> <span class="s2">"ruby"</span><span class="p">,</span> <span class="s2">"java"</span><span class="p">,</span> <span class="s2">"haskell"</span><span class="p">,</span> <span class="s2">"go"</span><span class="p">],</span> |
| <span class="s2">"random"</span><span class="p">:</span> <span class="n">random</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">1000</span><span class="p">),</span> <span class="mi">5</span><span class="p">),</span> |
| <span class="s2">"groups"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"A"</span><span class="p">,</span> <span class="s2">"A"</span><span class="p">,</span> <span class="s2">"B"</span><span class="p">,</span> <span class="s2">"C"</span><span class="p">,</span> <span class="s2">"B"</span><span class="p">],</span> |
| <span class="p">})</span> |
| <span class="n">df</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>DataFrame() |
| +-----+---------+--------+--------+ |
| | nrs | names | random | groups | |
| +-----+---------+--------+--------+ |
| | 1 | python | 612 | A | |
| | 2 | ruby | 819 | A | |
| | 3 | java | 198 | B | |
| | 4 | haskell | 247 | C | |
| | 5 | go | 457 | B | |
| +-----+---------+--------+--------+ |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <p>Use <a class="reference internal" href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.limit" title="datafusion.dataframe.DataFrame.limit"><code class="xref py py-func docutils literal notranslate"><span class="pre">limit()</span></code></a> to view the top rows of the frame:</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="n">df</span><span class="o">.</span><span class="n">limit</span><span class="p">(</span><span class="mi">2</span><span class="p">)</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>DataFrame() |
| +-----+--------+--------+--------+ |
| | nrs | names | random | groups | |
| +-----+--------+--------+--------+ |
| | 1 | python | 612 | A | |
| | 2 | ruby | 819 | A | |
| +-----+--------+--------+--------+ |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <p>Display the columns of the DataFrame using <a class="reference internal" href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.schema" title="datafusion.dataframe.DataFrame.schema"><code class="xref py py-func docutils literal notranslate"><span class="pre">schema()</span></code></a>:</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="n">df</span><span class="o">.</span><span class="n">schema</span><span class="p">()</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>nrs: int64 |
| names: string |
| random: int64 |
| groups: string |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <p>The method <a class="reference internal" href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.to_pandas" title="datafusion.dataframe.DataFrame.to_pandas"><code class="xref py py-func docutils literal notranslate"><span class="pre">to_pandas()</span></code></a> uses pyarrow to convert to pandas DataFrame, by collecting the batches, |
| passing them to an Arrow table, and then converting them to a pandas DataFrame.</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="n">df</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</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> nrs names random groups |
| 0 1 python 612 A |
| 1 2 ruby 819 A |
| 2 3 java 198 B |
| 3 4 haskell 247 C |
| 4 5 go 457 B |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <p><a class="reference internal" href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.describe" title="datafusion.dataframe.DataFrame.describe"><code class="xref py py-func docutils literal notranslate"><span class="pre">describe()</span></code></a> shows a quick statistic summary of your data:</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="n">df</span><span class="o">.</span><span class="n">describe</span><span class="p">()</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>DataFrame() |
| +------------+--------------------+-------+--------------------+--------+ |
| | describe | nrs | names | random | groups | |
| +------------+--------------------+-------+--------------------+--------+ |
| | count | 5.0 | 5 | 5.0 | 5 | |
| | null_count | 0.0 | 0 | 0.0 | 0 | |
| | mean | 3.0 | null | 466.6 | null | |
| | std | 1.5811388300841898 | null | 257.77373799516505 | null | |
| | min | 1.0 | go | 198.0 | A | |
| | max | 5.0 | ruby | 819.0 | C | |
| | median | 3.0 | null | 457.0 | null | |
| +------------+--------------------+-------+--------------------+--------+ |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| </section> |
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