http://code.activestate.com/recipes/tags/array-bit/2016-09-22T12:25:30-07:00ActiveState Code Recipes2016-09-22T12:25:30-07:00Przemyslaw Podczasihttp://code.activestate.com/recipes/users/4179716/http://code.activestate.com/recipes/580700-simple-matlabocave-like-arrays-conversion-to-numpy/

<p style="color: grey"> Python recipe 580700 by <a href="/recipes/users/4179716/">Przemyslaw Podczasi</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/interpreter/">interpreter</a>, <a href="/recipes/tags/matlab/">matlab</a>). </p> <p>Matlab/Octave syntax for 1D/2D arrays is more packed and doesn't require putting extra ',' and extra '[', ']' between dimensions. For this I wrote a parser that intercepts python interpreter and using numpy functionality parses Matlab's style arrays 1D and 2D into numpy.arrays.</p>

2014-03-21T16:09:39-07:00Roberto Bellohttp://code.activestate.com/recipes/users/4189498/http://code.activestate.com/recipes/578854-python-from-nd-array-to-flat-array/

<p style="color: grey"> Python recipe 578854 by <a href="/recipes/users/4189498/">Roberto Bello</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/flatten/">flatten</a>, <a href="/recipes/tags/nd/">nd</a>). </p> <p>From a multidimensional array to a flat array avoiding numpy. The code could be better?</p>

2012-11-19T08:43:11-08:00greg zakharovhttp://code.activestate.com/recipes/users/4184115/http://code.activestate.com/recipes/578338-multidimensional-arrays/

<p style="color: grey"> Ruby recipe 578338 by <a href="/recipes/users/4184115/">greg zakharov</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/ironruby/">ironruby</a>, <a href="/recipes/tags/multidimensional/">multidimensional</a>). </p> <p>The next example shows how to create rectangular and jagged arrays.</p>

2012-11-01T18:35:05-07:00greg zakharovhttp://code.activestate.com/recipes/users/4184115/http://code.activestate.com/recipes/578314-creating-array-into-batch/

<p style="color: grey"> Batch recipe 578314 by <a href="/recipes/users/4184115/">greg zakharov</a> (<a href="/recipes/tags/array/">array</a>). Revision 2. </p> <p>Command language supports creation array. For example:</p>

2011-10-31T10:53:39-07:00Luca Zarottihttp://code.activestate.com/recipes/users/4179728/http://code.activestate.com/recipes/577932-flatten-arraytuple/

<p style="color: grey"> Python recipe 577932 by <a href="/recipes/users/4179728/">Luca Zarotti</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/flatten/">flatten</a>, <a href="/recipes/tags/tuple/">tuple</a>). </p> <p>Flatten a nested array/tuple</p>

2011-05-16T08:41:46-07:00Mike Sweeneyhttp://code.activestate.com/recipes/users/4177990/http://code.activestate.com/recipes/577697-simple-numeric-database/

<p style="color: grey"> Python recipe 577697 by <a href="/recipes/users/4177990/">Mike Sweeney</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/database/">database</a>, <a href="/recipes/tags/numeric/">numeric</a>). Revision 2. </p> <p>A simple in-memory numeric database for Python. Arrays are used to minimise memory consumption.</p>

2011-05-16T12:11:24-07:00Hamidreza Joshaghanihttp://code.activestate.com/recipes/users/4177804/http://code.activestate.com/recipes/577698-simple-numeric-database/

<p style="color: grey"> Python recipe 577698 by <a href="/recipes/users/4177804/">Hamidreza Joshaghani</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/database/">database</a>, <a href="/recipes/tags/numeric/">numeric</a>). </p> <p>A simple in-memory numeric database for Python. Arrays are used to minimise memory consumption.</p>

2010-06-07T05:57:07-07:00John Schulmanhttp://code.activestate.com/recipes/users/4171677/http://code.activestate.com/recipes/577201-infix-operators-for-numpy-arrays/

<p style="color: grey"> Python recipe 577201 by <a href="/recipes/users/4171677/">John Schulman</a> (<a href="/recipes/tags/array/">array</a>, <a href="/recipes/tags/infix/">infix</a>, <a href="/recipes/tags/matrix/">matrix</a>, <a href="/recipes/tags/multiplication/">multiplication</a>, <a href="/recipes/tags/numpy/">numpy</a>). Revision 3. </p> <p>This recipe adapts the infix operator trick from <a href="http://code.activestate.com/recipes/384122-infix-operators/" rel="nofollow">http://code.activestate.com/recipes/384122-infix-operators/</a> to give the appropriate behavior with numpy arrays, so you can write A *dot* B for np.dot(A,B)</p> <p>UPDATE A solution to the dot problem was recently added to the numpy trunk: the dot method was added to the ndarray class so you can write a.dot(b). See <a href="http://projects.scipy.org/numpy/ticket/1456" rel="nofollow">http://projects.scipy.org/numpy/ticket/1456</a></p>