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  <h1>Query result</h1>

<div class="doc doc-object doc-module">


<a id="streampipes.model.resource.query_result"></a>
  <div class="doc doc-contents first">

  
  <div class="doc doc-children">


<div class="doc doc-object doc-class">


<h2 id="streampipes.model.resource.query_result.QueryResult" class="doc doc-heading">
          <code>QueryResult</code>


<a href="#streampipes.model.resource.query_result.QueryResult" class="headerlink" title="Permanent link">&para;</a></h2>


  <div class="doc doc-contents ">
          <p class="doc doc-class-bases">
            Bases: <code><a class="autorefs autorefs-internal" title="streampipes.model.resource.resource.Resource" href="../resource/#streampipes.model.resource.resource.Resource">Resource</a></code></p>

  
      <p>Implementation of a resource for query result.
This resource defines the data model used by its resource container(<code>model.container.DataLakeMeasures</code>).
It inherits from Pydantic's BaseModel to get all its superpowers,
which are used to parse, validate the API response and to easily switch between
the Python representation (both serialized and deserialized) and Java representation (serialized only).</p>


  <div class="doc doc-children">


<div class="doc doc-object doc-function">


<h3 id="streampipes.model.resource.query_result.QueryResult.convert_to_pandas_representation" class="doc doc-heading">
<code class="highlight language-python"><span class="n">convert_to_pandas_representation</span><span class="p">()</span></code>

<a href="#streampipes.model.resource.query_result.QueryResult.convert_to_pandas_representation" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">
  
      <p>Returns the dictionary representation of a data lake series
to be used when creating a pandas Dataframe.</p>
<p>It contains only the "header rows" (the column names) and "rows" that contain the actual data.</p>


  <table>
    <thead>
      <tr>
        <th><b>RETURNS</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
              <span class="doc-returns-annotation">
                  <code>dict</code>
              </span>
          </td>
          <td class="doc-returns-details">
            <div class="doc-md-description">
              <p>Dictionary with the keys <code>headers</code> and <code>rows</code></p>
            </div>
          </td>
        </tr>
    </tbody>
  </table>


  <table>
    <thead>
      <tr>
        <th><b>RAISES</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
            <span class="doc-raises-annotation">
                <code>StreamPipesUnsupportedDataLakeSeries</code>
            </span>
          </td>
          <td class="doc-raises-details">
            <div class="doc-md-description">
              <p>If the query result returned by the StreamPipes API cannot be converted to the pandas representation</p>
            </div>
          </td>
        </tr>
    </tbody>
  </table>

  </div>

</div>


<div class="doc doc-object doc-function">


<h3 id="streampipes.model.resource.query_result.QueryResult.to_pandas" class="doc doc-heading">
<code class="highlight language-python"><span class="n">to_pandas</span><span class="p">()</span></code>

<a href="#streampipes.model.resource.query_result.QueryResult.to_pandas" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">
  
      <p>Returns the data lake series in representation of a Pandas Dataframe.</p>


  <table>
    <thead>
      <tr>
        <th><b>RETURNS</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
              <code>df</code>
          </td>
          <td class="doc-returns-details">
            <div class="doc-md-description">
              <p>Pandas df containing the query result</p>
            </div>
              <p>
                <span class="doc-returns-annotation">
                  <b>TYPE:</b>
                    <code><span title="pandas">pd</span>.<span title="pandas.DataFrame">DataFrame</span></code>
                </span>
              </p>
          </td>
        </tr>
    </tbody>
  </table>

  </div>

</div>


  </div>

  </div>

</div>


  </div>

  </div>

</div>


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