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<section id="indexing-routines">
<span id="arrays-indexing"></span><span id="routines-indexing"></span><h1>Indexing routines<a class="headerlink" href="#indexing-routines" title="Link to this heading">#</a></h1>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p><a class="reference internal" href="../user/basics.indexing.html#basics-indexing"><span class="std std-ref">Indexing on ndarrays</span></a></p>
</div>
<section id="generating-index-arrays">
<h2>Generating index arrays<a class="headerlink" href="#generating-index-arrays" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.c_.html#numpy.c_" title="numpy.c_"><code class="xref py py-obj docutils literal notranslate"><span class="pre">c_</span></code></a></p></td>
<td><p>Translates slice objects to concatenation along the second axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.r_.html#numpy.r_" title="numpy.r_"><code class="xref py py-obj docutils literal notranslate"><span class="pre">r_</span></code></a></p></td>
<td><p>Translates slice objects to concatenation along the first axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.s_.html#numpy.s_" title="numpy.s_"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_</span></code></a></p></td>
<td><p>A nicer way to build up index tuples for arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.nonzero.html#numpy.nonzero" title="numpy.nonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nonzero</span></code></a>(a)</p></td>
<td><p>Return the indices of the elements that are non-zero.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.where.html#numpy.where" title="numpy.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>(condition, [x, y], /)</p></td>
<td><p>Return elements chosen from <em class="xref py py-obj">x</em> or <em class="xref py py-obj">y</em> depending on <em class="xref py py-obj">condition</em>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.indices.html#numpy.indices" title="numpy.indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">indices</span></code></a>(dimensions[, dtype, sparse])</p></td>
<td><p>Return an array representing the indices of a grid.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ix_.html#numpy.ix_" title="numpy.ix_"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ix_</span></code></a>(*args)</p></td>
<td><p>Construct an open mesh from multiple sequences.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ogrid.html#numpy.ogrid" title="numpy.ogrid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ogrid</span></code></a></p></td>
<td><p>An instance which returns an open multi-dimensional "meshgrid".</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ravel_multi_index.html#numpy.ravel_multi_index" title="numpy.ravel_multi_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ravel_multi_index</span></code></a>(multi_index, dims[, mode, ...])</p></td>
<td><p>Converts a tuple of index arrays into an array of flat indices, applying boundary modes to the multi-index.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.unravel_index.html#numpy.unravel_index" title="numpy.unravel_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unravel_index</span></code></a>(indices, shape[, order])</p></td>
<td><p>Converts a flat index or array of flat indices into a tuple of coordinate arrays.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.diag_indices.html#numpy.diag_indices" title="numpy.diag_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diag_indices</span></code></a>(n[, ndim])</p></td>
<td><p>Return the indices to access the main diagonal of an array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.diag_indices_from.html#numpy.diag_indices_from" title="numpy.diag_indices_from"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diag_indices_from</span></code></a>(arr)</p></td>
<td><p>Return the indices to access the main diagonal of an n-dimensional array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.mask_indices.html#numpy.mask_indices" title="numpy.mask_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask_indices</span></code></a>(n, mask_func[, k])</p></td>
<td><p>Return the indices to access (n, n) arrays, given a masking function.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.tril_indices.html#numpy.tril_indices" title="numpy.tril_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tril_indices</span></code></a>(n[, k, m])</p></td>
<td><p>Return the indices for the lower-triangle of an (n, m) array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.tril_indices_from.html#numpy.tril_indices_from" title="numpy.tril_indices_from"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tril_indices_from</span></code></a>(arr[, k])</p></td>
<td><p>Return the indices for the lower-triangle of arr.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.triu_indices.html#numpy.triu_indices" title="numpy.triu_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">triu_indices</span></code></a>(n[, k, m])</p></td>
<td><p>Return the indices for the upper-triangle of an (n, m) array.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.triu_indices_from.html#numpy.triu_indices_from" title="numpy.triu_indices_from"><code class="xref py py-obj docutils literal notranslate"><span class="pre">triu_indices_from</span></code></a>(arr[, k])</p></td>
<td><p>Return the indices for the upper-triangle of arr.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="indexing-like-operations">
<h2>Indexing-like operations<a class="headerlink" href="#indexing-like-operations" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.take.html#numpy.take" title="numpy.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code></a>(a, indices[, axis, out, mode])</p></td>
<td><p>Take elements from an array along an axis.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.take_along_axis.html#numpy.take_along_axis" title="numpy.take_along_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take_along_axis</span></code></a>(arr, indices, axis)</p></td>
<td><p>Take values from the input array by matching 1d index and data slices.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.choose.html#numpy.choose" title="numpy.choose"><code class="xref py py-obj docutils literal notranslate"><span class="pre">choose</span></code></a>(a, choices[, out, mode])</p></td>
<td><p>Construct an array from an index array and a list of arrays to choose from.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.compress.html#numpy.compress" title="numpy.compress"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compress</span></code></a>(condition, a[, axis, out])</p></td>
<td><p>Return selected slices of an array along given axis.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.diag.html#numpy.diag" title="numpy.diag"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diag</span></code></a>(v[, k])</p></td>
<td><p>Extract a diagonal or construct a diagonal array.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.diagonal.html#numpy.diagonal" title="numpy.diagonal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diagonal</span></code></a>(a[, offset, axis1, axis2])</p></td>
<td><p>Return specified diagonals.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.select.html#numpy.select" title="numpy.select"><code class="xref py py-obj docutils literal notranslate"><span class="pre">select</span></code></a>(condlist, choicelist[, default])</p></td>
<td><p>Return an array drawn from elements in choicelist, depending on conditions.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="inserting-data-into-arrays">
<h2>Inserting data into arrays<a class="headerlink" href="#inserting-data-into-arrays" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.place.html#numpy.place" title="numpy.place"><code class="xref py py-obj docutils literal notranslate"><span class="pre">place</span></code></a>(arr, mask, vals)</p></td>
<td><p>Change elements of an array based on conditional and input values.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.put.html#numpy.put" title="numpy.put"><code class="xref py py-obj docutils literal notranslate"><span class="pre">put</span></code></a>(a, ind, v[, mode])</p></td>
<td><p>Replaces specified elements of an array with given values.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.put_along_axis.html#numpy.put_along_axis" title="numpy.put_along_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">put_along_axis</span></code></a>(arr, indices, values, axis)</p></td>
<td><p>Put values into the destination array by matching 1d index and data slices.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.putmask.html#numpy.putmask" title="numpy.putmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">putmask</span></code></a>(a, mask, values)</p></td>
<td><p>Changes elements of an array based on conditional and input values.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.fill_diagonal.html#numpy.fill_diagonal" title="numpy.fill_diagonal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_diagonal</span></code></a>(a, val[, wrap])</p></td>
<td><p>Fill the main diagonal of the given array of any dimensionality.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="iterating-over-arrays">
<h2>Iterating over arrays<a class="headerlink" href="#iterating-over-arrays" title="Link to this heading">#</a></h2>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.nditer.html#numpy.nditer" title="numpy.nditer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nditer</span></code></a>(op[, flags, op_flags, op_dtypes, ...])</p></td>
<td><p>Efficient multi-dimensional iterator object to iterate over arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.ndenumerate.html#numpy.ndenumerate" title="numpy.ndenumerate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ndenumerate</span></code></a>(arr)</p></td>
<td><p>Multidimensional index iterator.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.ndindex.html#numpy.ndindex" title="numpy.ndindex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ndindex</span></code></a>(*shape)</p></td>
<td><p>An N-dimensional iterator object to index arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.nested_iters.html#numpy.nested_iters" title="numpy.nested_iters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nested_iters</span></code></a>(op, axes[, flags, op_flags, ...])</p></td>
<td><p>Create nditers for use in nested loops</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/numpy.flatiter.html#numpy.flatiter" title="numpy.flatiter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flatiter</span></code></a>()</p></td>
<td><p>Flat iterator object to iterate over arrays.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/numpy.iterable.html#numpy.iterable" title="numpy.iterable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">iterable</span></code></a>(y)</p></td>
<td><p>Check whether or not an object can be iterated over.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
</section>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#indexing-like-operations">Indexing-like operations</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#iterating-over-arrays">Iterating over arrays</a></li>
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