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  <h1>Data stream</h1>

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<h2 id="streampipes.model.resource.data_stream.DataStream" class="doc doc-heading">
<code class="highlight language-python"><span class="n">DataStream</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></code>

<a href="#streampipes.model.resource.data_stream.DataStream" 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 streams.
This resource defines the data model used by resource container (<code>model.container.DataStreams</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>


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<h3 id="streampipes.model.resource.data_stream.DataStream.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_stream.DataStream.convert_to_pandas_representation" class="headerlink" title="Permanent link">&para;</a></h3>


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      <p>Returns the dictionary representation of a data stream to be used when creating a pandas Dataframe.</p>

  <table>
    <thead>
      <tr>
        <th><b>RETURNS</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
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          <td>
              <span class="doc-returns-annotation">
                  <code>Dictionary</code>
              </span>
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<h3 id="streampipes.model.resource.data_stream.DataStream.to_dict" class="doc doc-heading">
<code class="highlight language-python"><span class="n">to_dict</span><span class="p">(</span><span class="n">use_source_names</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></code>

<a href="#streampipes.model.resource.data_stream.DataStream.to_dict" class="headerlink" title="Permanent link">&para;</a></h3>


  <div class="doc doc-contents ">
  
      <p>Returns the resource in dictionary representation.</p>

  <table>
    <thead>
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        <th><b>PARAMETER</b></th>
        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
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        <tr>
          <td><code>use_source_names</code></td>
          <td class="doc-param-details">
            <p>Indicates if the dictionary keys are in python representation or
equally named to the StreamPipes backend</p>
            <p>
                <span class="doc-param-default">
                  <b>DEFAULT:</b> 
                    <code>True</code>
                </span>
            </p>
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  <table>
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        <th><b>DESCRIPTION</b></th>
      </tr>
    </thead>
    <tbody>
        <tr>
          <td>
              <code>resource</code>
          </td>
          <td class="doc-returns-details">
            <p>The resource as dictionary representation</p>
              <p>
                <span class="doc-returns-annotation">
                  <b>TYPE:</b>
                    <code>Dict[str, Any]</code>
                </span>
              </p>
          </td>
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