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  <h1>Data lake series</h1>

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


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

  
  <div class="doc doc-children">


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


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


<a href="#streampipes.model.resource.data_lake_series.DataLakeSeries" 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 data lake series.
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>
<h4 id="streampipes.model.resource.data_lake_series.DataLakeSeries--notes">Notes<a class="headerlink" href="#streampipes.model.resource.data_lake_series.DataLakeSeries--notes" title="Permanent link">&para;</a></h4>
<div class="language-text highlight"><pre><span></span><code>This class will only exist temporarily in it its current appearance since
there are some inconsistencies in the StreamPipes API.
</code></pre></div>


  <div class="doc doc-children">


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


<h3 id="streampipes.model.resource.data_lake_series.DataLakeSeries.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.data_lake_series.DataLakeSeries.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>
              <code>pandas_repr</code>
          </td>
          <td class="doc-returns-details">
            <p>Dictionary with the keys <code>headers</code> and <code>rows</code></p>
              <p>
                <span class="doc-returns-annotation">
                  <b>TYPE:</b>
                    <code>dict[str, <span title="typing.Any">Any</span>]</code>
                </span>
              </p>
          </td>
        </tr>
    </tbody>
  </table>

  </div>

</div>

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


<h3 id="streampipes.model.resource.data_lake_series.DataLakeSeries.from_json" class="doc doc-heading">
<code class="highlight language-python"><span class="n">from_json</span><span class="p">(</span><span class="n">json_string</span><span class="p">)</span></code>
  
  <span class="doc doc-labels">
      <small class="doc doc-label doc-label-classmethod"><code>classmethod</code></small>
  </span>

<a href="#streampipes.model.resource.data_lake_series.DataLakeSeries.from_json" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">
  
      <p>Creates an instance of <code>DataLakeSeries</code> from a given JSON string.</p>
<p>This method is used by the resource container to parse the JSON response of
the StreamPipes API.
Currently, it only supports data lake series that consist of exactly one series of data.</p>

  <table>
    <thead>
      <tr>
        <th><b>PARAMETER</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td><code>json_string</code></td>
          <td class="doc-param-details">
            <p>The JSON string the data lake series should be created on.</p>
            <p>
                <span class="doc-param-annotation">
                  <b>TYPE:</b>
                    <code>str</code>
                </span>
            </p>
          </td>
        </tr>
    </tbody>
  </table>

  <table>
    <thead>
      <tr>
        <th><b>RETURNS</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
              <span class="doc-returns-annotation">
                  <code><a class="autorefs autorefs-internal" title="streampipes.model.resource.data_lake_series.DataLakeSeries" href="#streampipes.model.resource.data_lake_series.DataLakeSeries">DataLakeSeries</a></code>
              </span>
          </td>
          <td class="doc-returns-details">
            <p>Instance of <code>DataLakeSeries</code> that is created based on the given JSON string.</p>
          </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><a class="autorefs autorefs-internal" title="streampipes.model.resource.data_lake_series.StreamPipesUnsupportedDataLakeSeries" href="#streampipes.model.resource.data_lake_series.StreamPipesUnsupportedDataLakeSeries">StreamPipesUnsupportedDataLakeSeries</a></code>
            </span>
          </td>
          <td class="doc-raises-details">
            <p>If the data lake series returned by the StreamPipes API cannot be parsed
with the current version of the Python client.</p>
          </td>
        </tr>
    </tbody>
  </table>

  </div>

</div>

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


<h3 id="streampipes.model.resource.data_lake_series.DataLakeSeries.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.data_lake_series.DataLakeSeries.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>pd</code>
          </td>
          <td class="doc-returns-details">
            <p>The data lake series in form of a pandas dataframe</p>
              <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 class="doc doc-object doc-class">


<h2 id="streampipes.model.resource.data_lake_series.StreamPipesUnsupportedDataLakeSeries" class="doc doc-heading">
<code class="highlight language-python"><span class="n">StreamPipesUnsupportedDataLakeSeries</span><span class="p">()</span></code>

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


  <div class="doc doc-contents ">
      <p class="doc doc-class-bases">
        Bases: <code>Exception</code></p>

  
      <p>Exception to be raised when the returned data lake series
cannot be parsed with the current implementation of the resource.</p>


  <div class="doc doc-children">


  </div>

  </div>

</div>


  </div>

  </div>

</div>


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