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<section id="numpy-asarray-chkfinite">
<h1>numpy.asarray_chkfinite<a class="headerlink" href="#numpy-asarray-chkfinite" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="numpy.asarray_chkfinite">
<span class="sig-prename descclassname"><span class="pre">numpy.</span></span><span class="sig-name descname"><span class="pre">asarray_chkfinite</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/numpy/numpy/blob/main/numpy/lib/_function_base_impl.py#L577-L646"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#numpy.asarray_chkfinite" title="Link to this definition">#</a></dt>
<dd><p>Convert the input to an array, checking for NaNs or Infs.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>a</strong><span class="classifier">array_like</span></dt><dd><p>Input data, in any form that can be converted to an array. This
includes lists, lists of tuples, tuples, tuples of tuples, tuples
of lists and ndarrays. Success requires no NaNs or Infs.</p>
</dd>
<dt><strong>dtype</strong><span class="classifier">data-type, optional</span></dt><dd><p>By default, the data-type is inferred from the input data.</p>
</dd>
<dt><strong>order</strong><span class="classifier">{‘C’, ‘F’, ‘A’, ‘K’}, optional</span></dt><dd><p>Memory layout. ‘A’ and ‘K’ depend on the order of input array a.
‘C’ row-major (C-style),
‘F’ column-major (Fortran-style) memory representation.
‘A’ (any) means ‘F’ if <em class="xref py py-obj">a</em> is Fortran contiguous, ‘C’ otherwise
‘K’ (keep) preserve input order
Defaults to ‘C’.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>out</strong><span class="classifier">ndarray</span></dt><dd><p>Array interpretation of <em class="xref py py-obj">a</em>. No copy is performed if the input
is already an ndarray. If <em class="xref py py-obj">a</em> is a subclass of ndarray, a base
class ndarray is returned.</p>
</dd>
</dl>
</dd>
<dt class="field-odd">Raises<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt>ValueError</dt><dd><p>Raises ValueError if <em class="xref py py-obj">a</em> contains NaN (Not a Number) or Inf (Infinity).</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="numpy.asarray.html#numpy.asarray" title="numpy.asarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">asarray</span></code></a></dt><dd><p>Create and array.</p>
</dd>
<dt><a class="reference internal" href="numpy.asanyarray.html#numpy.asanyarray" title="numpy.asanyarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">asanyarray</span></code></a></dt><dd><p>Similar function which passes through subclasses.</p>
</dd>
<dt><a class="reference internal" href="numpy.ascontiguousarray.html#numpy.ascontiguousarray" title="numpy.ascontiguousarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ascontiguousarray</span></code></a></dt><dd><p>Convert input to a contiguous array.</p>
</dd>
<dt><a class="reference internal" href="numpy.asfortranarray.html#numpy.asfortranarray" title="numpy.asfortranarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">asfortranarray</span></code></a></dt><dd><p>Convert input to an ndarray with column-major memory order.</p>
</dd>
<dt><a class="reference internal" href="numpy.fromiter.html#numpy.fromiter" title="numpy.fromiter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromiter</span></code></a></dt><dd><p>Create an array from an iterator.</p>
</dd>
<dt><a class="reference internal" href="numpy.fromfunction.html#numpy.fromfunction" title="numpy.fromfunction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromfunction</span></code></a></dt><dd><p>Construct an array by executing a function on grid positions.</p>
</dd>
</dl>
</div>
<p class="rubric">Examples</p>
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<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
</pre></div>
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<p>Convert a list into an array. If all elements are finite, then
<code class="docutils literal notranslate"><span class="pre">asarray_chkfinite</span></code> is identical to <code class="docutils literal notranslate"><span class="pre">asarray</span></code>.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">a</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span>
<span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">asarray_chkfinite</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">float</span><span class="p">)</span>
<span class="go">array([1., 2.])</span>
</pre></div>
</div>
<p>Raises ValueError if array_like contains Nans or Infs.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">a</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">]</span>
<span class="gp">>>> </span><span class="k">try</span><span class="p">:</span>
<span class="gp">... </span> <span class="n">np</span><span class="o">.</span><span class="n">asarray_chkfinite</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
<span class="gp">... </span><span class="k">except</span> <span class="ne">ValueError</span><span class="p">:</span>
<span class="gp">... </span> <span class="nb">print</span><span class="p">(</span><span class="s1">'ValueError'</span><span class="p">)</span>
<span class="gp">...</span>
<span class="go">ValueError</span>
</pre></div>
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