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<?xml version="1.0" encoding="ascii"?>
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<!-- ==================== MODULE DESCRIPTION ==================== -->
<h1 class="epydoc">Module ArrayIO</h1><p class="nomargin-top"></p>
<p>Basic support for I/O of one- and two-dimensional numerical arrays to 
  and from plain text files</p>
  <p>The text file format is very simple and used by many other programs as
  well:</p>
  <ul>
    <li>
      each line corresponds to one row of the array
    </li>
    <li>
      the numbers within a line are separated by white space
    </li>
    <li>
      lines starting with # are ignored (comment lines)
    </li>
  </ul>
  <p>An array containing only one line or one column is returned as a 
  one-dimensional array on reading. One-dimensional arrays are written as 
  one item per line.</p>
  <p>Numbers in files to be read must conform to Python/C syntax.  For 
  reading files containing Fortran-style double-precision numbers (exponent
  prefixed by D), use the module <a 
  href="Scientific.IO.FortranFormat-module.html" 
  class="link">Scientific.IO.FortranFormat</a>.</p>

<!-- ==================== FUNCTIONS ==================== -->
<a name="section-Functions"></a>
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       cellspacing="0" width="100%" bgcolor="white">
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  <td align="left" colspan="2" class="table-header">
    <span class="table-header">Functions</span></td>
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<tr>
    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type"><code>Numeric.array</code></span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="Scientific.IO.ArrayIO-module.html#readArray" class="summary-sig-name">readArray</a>(<span class="summary-sig-arg">filename</span>)</span><br />
      Read array data from a file</td>
          <td align="right" valign="top">
            
            
          </td>
        </tr>
      </table>
      
    </td>
  </tr>
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    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type"><code>Numeric.array</code> of <code>float</code></span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="Scientific.IO.ArrayIO-module.html#readFloatArray" class="summary-sig-name">readFloatArray</a>(<span class="summary-sig-arg">filename</span>)</span><br />
      Read array data from a file into an array of floats</td>
          <td align="right" valign="top">
            
            
          </td>
        </tr>
      </table>
      
    </td>
  </tr>
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    <td width="15%" align="right" valign="top" class="summary">
      <span class="summary-type"><code>Numeric.array</code> of <code>int</code></span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="Scientific.IO.ArrayIO-module.html#readIntegerArray" class="summary-sig-name">readIntegerArray</a>(<span class="summary-sig-arg">filename</span>)</span><br />
      Read array data from a file into an array of integers</td>
          <td align="right" valign="top">
            
            
          </td>
        </tr>
      </table>
      
    </td>
  </tr>
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      <span class="summary-type">&nbsp;</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="Scientific.IO.ArrayIO-module.html#writeArray" class="summary-sig-name">writeArray</a>(<span class="summary-sig-arg">array</span>,
        <span class="summary-sig-arg">filename</span>,
        <span class="summary-sig-arg">mode</span>=<span class="summary-sig-default"><code class="variable-quote">'</code><code class="variable-string">w</code><code class="variable-quote">'</code></span>)</span><br />
      Write a text representation of an array to a file.</td>
          <td align="right" valign="top">
            
            
          </td>
        </tr>
      </table>
      
    </td>
  </tr>
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      <span class="summary-type">&nbsp;</span>
    </td><td class="summary">
      <table width="100%" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td><span class="summary-sig"><a href="Scientific.IO.ArrayIO-module.html#writeDataSets" class="summary-sig-name">writeDataSets</a>(<span class="summary-sig-arg">datasets</span>,
        <span class="summary-sig-arg">filename</span>,
        <span class="summary-sig-arg">separator</span>=<span class="summary-sig-default"><code class="variable-quote">'</code><code class="variable-string"></code><code class="variable-quote">'</code></span>)</span><br />
      Write multiple datasets to a text file.</td>
          <td align="right" valign="top">
            
            
          </td>
        </tr>
      </table>
      
    </td>
  </tr>
</table>
<!-- ==================== FUNCTION DETAILS ==================== -->
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    <span class="table-header">Function Details</span></td>
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<a name="readArray"></a>
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       cellspacing="0" width="100%" bgcolor="white">
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  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">readArray</span>(<span class="sig-arg">filename</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
    </td>
  </tr></table>
  
  <p>Read array data from a file</p>
  <p>This function works for arbitrary data types (every array element can 
  be given by an arbitrary Python expression), but at the price of being 
  slow. For large arrays, use <a 
  href="Scientific.IO.ArrayIO-module.html#readFloatArray" 
  class="link">readFloatArray</a> or <a 
  href="Scientific.IO.ArrayIO-module.html#readIntegerArray" 
  class="link">readIntegerArray</a> if possible.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>filename</code></strong> (<code>str</code>) - the name of the file to read</li>
    </ul></dd>
    <dt>Returns: <code>Numeric.array</code></dt>
        <dd>an array containing the data from the file</dd>
  </dl>
</td></tr></table>
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<a name="readFloatArray"></a>
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  <h3 class="epydoc"><span class="sig"><span class="sig-name">readFloatArray</span>(<span class="sig-arg">filename</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
    </td>
  </tr></table>
  
  <p>Read array data from a file into an array of floats</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>filename</code></strong> (<code>str</code>) - the name of the file to read</li>
    </ul></dd>
    <dt>Returns: <code>Numeric.array</code> of <code>float</code></dt>
        <dd>an array containing the data from the file</dd>
  </dl>
</td></tr></table>
</div>
<a name="readIntegerArray"></a>
<div>
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       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">readIntegerArray</span>(<span class="sig-arg">filename</span>)</span>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
    </td>
  </tr></table>
  
  <p>Read array data from a file into an array of integers</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>filename</code></strong> (<code>str</code>) - the name of the file to read</li>
    </ul></dd>
    <dt>Returns: <code>Numeric.array</code> of <code>int</code></dt>
        <dd>an array containing the data from the file</dd>
  </dl>
</td></tr></table>
</div>
<a name="writeArray"></a>
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       cellspacing="0" width="100%" bgcolor="white">
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  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">writeArray</span>(<span class="sig-arg">array</span>,
        <span class="sig-arg">filename</span>,
        <span class="sig-arg">mode</span>=<span class="sig-default"><code class="variable-quote">'</code><code class="variable-string">w</code><code class="variable-quote">'</code></span>)</span>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
    </td>
  </tr></table>
  
  <p>Write a text representation of an array to a file.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>array</code></strong> (<code>Numeric.array</code>) - the array to be written</li>
        <li><strong class="pname"><code>filename</code></strong> (<code>str</code>) - the name of the output file</li>
        <li><strong class="pname"><code>mode</code></strong> (<code>str</code>) - the file access mode, 'w' (new file) or 'a' (append)</li>
    </ul></dd>
  </dl>
</td></tr></table>
</div>
<a name="writeDataSets"></a>
<div>
<table class="details" border="1" cellpadding="3"
       cellspacing="0" width="100%" bgcolor="white">
<tr><td>
  <table width="100%" cellpadding="0" cellspacing="0" border="0">
  <tr valign="top"><td>
  <h3 class="epydoc"><span class="sig"><span class="sig-name">writeDataSets</span>(<span class="sig-arg">datasets</span>,
        <span class="sig-arg">filename</span>,
        <span class="sig-arg">separator</span>=<span class="sig-default"><code class="variable-quote">'</code><code class="variable-string"></code><code class="variable-quote">'</code></span>)</span>
  </h3>
  </td><td align="right" valign="top"
    >&nbsp;
    </td>
  </tr></table>
  
  <p>Write multiple datasets to a text file.</p>
  <dl class="fields">
    <dt>Parameters:</dt>
    <dd><ul class="nomargin-top">
        <li><strong class="pname"><code>datasets</code></strong> - a sequence of datasets describing a curve to be plotted. Each 
          dataset is either a 1d-array (list of values) or a 2d-array of 
          shape N x 2 (list of (x, y) pairs). Nested lists can be used 
          instead of arrays.</li>
        <li><strong class="pname"><code>filename</code></strong> (<code>str</code>) - the name of the output file</li>
        <li><strong class="pname"><code>separator</code></strong> (<code>str</code>) - the contents of the line that is written between two datasets</li>
    </ul></dd>
  </dl>
</td></tr></table>
</div>
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