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<?xml version="1.0" encoding="ascii"?>
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        <a href="Scientific-module.html">Package&nbsp;Scientific</a> ::
        <a href="Scientific.Statistics-module.html">Package&nbsp;Statistics</a> ::
        <a href="Scientific.Statistics.Histogram-module.html">Module&nbsp;Histogram</a> ::
        Class&nbsp;WeightedHistogram
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<!-- ==================== CLASS DESCRIPTION ==================== -->
<h1 class="epydoc">Class WeightedHistogram</h1><p class="nomargin-top"></p>
<pre class="base-tree">
<a href="Scientific.Statistics.Histogram.Histogram-class.html">Histogram</a> --+
            |
           <strong class="uidshort">WeightedHistogram</strong>
</pre>

<hr />
<p>Weighted histogram in one variable</p>
  <p>Constructor: WeightedHistogram(|data|, |weights|, |bins|, 
  |range|=None)</p>
  <p>Arguments:</p>
  <p>In a weighted histogram, each point has a specific weight. If all 
  weights are one, the result is equivalent to a standard histogram. The 
  bin index and the number of points in a bin can be obtained by indexing 
  the histogram with the bin number. Application of len() yields the number
  of bins. A histogram thus behaves like a sequence of bin index - bin 
  count pairs.</p>

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      <span class="summary-type">&nbsp;</span>
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          <td><span class="summary-sig"><a href="Scientific.Statistics.Histogram.WeightedHistogram-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">self</span>,
        <span class="summary-sig-arg">data</span>,
        <span class="summary-sig-arg">weights</span>,
        <span class="summary-sig-arg">nbins</span>,
        <span class="summary-sig-arg">range</span>=<span class="summary-sig-default">None</span>)</span></td>
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          <td><span class="summary-sig"><a href="Scientific.Statistics.Histogram.WeightedHistogram-class.html#addData" class="summary-sig-name">addData</a>(<span class="summary-sig-arg">self</span>,
        <span class="summary-sig-arg">data</span>,
        <span class="summary-sig-arg">weights</span>)</span><br />
      Add values to the originally supplied data sequence.</td>
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    <p class="indent-wrapped-lines"><b>Inherited from <code><a href="Scientific.Statistics.Histogram.Histogram-class.html">Histogram</a></code></b>:
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#__getitem__">__getitem__</a></code>,
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#__getslice__">__getslice__</a></code>,
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#__len__">__len__</a></code>,
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#getBinCounts">getBinCounts</a></code>,
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#getBinIndices">getBinIndices</a></code>,
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#normalize">normalize</a></code>,
      <code><a href="Scientific.Statistics.Histogram.Histogram-class.html#normalizeArea">normalizeArea</a></code>
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  <h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>(<span class="sig-arg">self</span>,
        <span class="sig-arg">data</span>,
        <span class="sig-arg">weights</span>,
        <span class="sig-arg">nbins</span>,
        <span class="sig-arg">range</span>=<span class="sig-default">None</span>)</span>
    <br /><em class="fname">(Constructor)</em>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
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  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>data</code></strong> (<code>Numeric.array</code>) - a sequence of data points</li>
        <li><strong class="pname"><code>weights</code></strong> (<code>Numeric.array</code>) - a sequence of weights, same length as data</li>
        <li><strong class="pname"><code>nbins</code></strong> (<code>int</code>) - the number of bins into which the data is to be sorted</li>
        <li><strong class="pname"><code>range</code></strong> (<code>tuple</code> or <code>NoneType</code>) - a tuple of two values, specifying the lower and the upper end of 
          the interval spanned by the bins. Any data point outside this 
          interval will be ignored. If no range is given, the smallest and 
          largest data values are used to define the interval.</li>
    </ul></dd>
    <dt>Overrides:
        <a href="Scientific.Statistics.Histogram.Histogram-class.html#__init__">Histogram.__init__</a>
    </dt>
  </dl>
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  <h3 class="epydoc"><span class="sig"><span class="sig-name">addData</span>(<span class="sig-arg">self</span>,
        <span class="sig-arg">data</span>,
        <span class="sig-arg">weights</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
    </td>
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  <p>Add values to the originally supplied data sequence. Use this method 
  to feed long data sequences in multiple parts to avoid memory 
  shortages.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>data</code></strong> (<code>Numeric.array</code>) - a sequence of data points</li>
    </ul></dd>
    <dt>Overrides:
        <a href="Scientific.Statistics.Histogram.Histogram-class.html#addData">Histogram.addData</a>
    </dt>
  </dl>
<div class="fields">      <p><strong>Note:</strong>
        this does not affect the default range of the histogram, which is 
        fixed when the histogram is created.
      </p>
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