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521 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[1]:·</span><span·class="kn">import</span>·<span·class="nn">numpy.random</span>521 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[1]:·</span><span·class="kn">import</span>·<span·class="nn">numpy.random</span>
  
522 <span·class="gp">In·[2]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>522 <span·class="gp">In·[2]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>
  
523 <span·class="gp">In·[3]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_normal(100000)523 <span·class="gp">In·[3]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_normal(100000)
524 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_normal(100000)524 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_normal(100000)
525 <span·class="gp">···...:·</span>525 <span·class="gp">···...:·</span>
 526 <span·class="go">3.44·ms·+-·38.5·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
526 <span·class="go">7.25·ms·+-·74.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>527 <span·class="go">7.52·ms·+-·18.9·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
527 <span·class="go">14.7·ms·+-·17.5·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span> 
528 </pre></div>528 </pre></div>
529 </div>529 </div>
530 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_exponential(100000)530 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_exponential(100000)
531 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_exponential(100000)531 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_exponential(100000)
532 <span·class="gp">···...:·</span>532 <span·class="gp">···...:·</span>
533 <span·class="go">6.09·ms·+-·42.2·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>533 <span·class="go">3.15·ms·+-·20·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
534 <span·class="go">17.3·ms·+-·64.3·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>534 <span·class="go">7.51·ms·+-·16.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
535 </pre></div>535 </pre></div>
536 </div>536 </div>
537 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_gamma(3.0,·100000)537 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_gamma(3.0,·100000)
538 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_gamma(3.0,·100000)538 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_gamma(3.0,·100000)
539 <span·class="gp">···...:·</span>539 <span·class="gp">···...:·</span>
540 <span·class="go">29.6·ms·+-·3.38·ms·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>540 <span·class="go">12.7·ms·+-·63.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
541 <span·class="go">34·ms·+-·1.45·ms·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>541 <span·class="go">18.4·ms·+-·29.1·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
542 </pre></div>542 </pre></div>
543 </div>543 </div>
544 <ul·class="simple">544 <ul·class="simple">
545 <li><p><a·class="reference·internal"·href="generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers"·title="numpy.random.Generator.integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">integers</span></code></a>·is·now·the·canonical·way·to·generate·integer545 <li><p><a·class="reference·internal"·href="generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers"·title="numpy.random.Generator.integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">integers</span></code></a>·is·now·the·canonical·way·to·generate·integer
546 random·numbers·from·a·discrete·uniform·distribution.·This·replaces·both546 random·numbers·from·a·discrete·uniform·distribution.·This·replaces·both
547 <a·class="reference·internal"·href="generated/numpy.random.randint.html#numpy.random.randint"·title="numpy.random.randint"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randint</span></code></a>·and·the·deprecated·<a·class="reference·internal"·href="generated/numpy.random.random_integers.html#numpy.random.random_integers"·title="numpy.random.random_integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random_integers</span></code></a>.</p></li>547 <a·class="reference·internal"·href="generated/numpy.random.randint.html#numpy.random.randint"·title="numpy.random.randint"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randint</span></code></a>·and·the·deprecated·<a·class="reference·internal"·href="generated/numpy.random.random_integers.html#numpy.random.random_integers"·title="numpy.random.random_integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random_integers</span></code></a>.</p></li>
548 <li><p>The·<a·class="reference·internal"·href="generated/numpy.random.rand.html#numpy.random.rand"·title="numpy.random.rand"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">rand</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.randn.html#numpy.random.randn"·title="numpy.random.randn"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randn</span></code></a>·methods·are·only·available·through·the·legacy548 <li><p>The·<a·class="reference·internal"·href="generated/numpy.random.rand.html#numpy.random.rand"·title="numpy.random.rand"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">rand</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.randn.html#numpy.random.randn"·title="numpy.random.randn"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randn</span></code></a>·methods·are·only·available·through·the·legacy
Offset 571, 21 lines modifiedOffset 571, 21 lines modified
571 <li><p>Standard·Exponentials·(<a·class="reference·internal"·href="generated/numpy.random.Generator.standard_exponential.html#numpy.random.Generator.standard_exponential"·title="numpy.random.Generator.standard_exponential"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">standard_exponential</span></code></a>)</p></li>571 <li><p>Standard·Exponentials·(<a·class="reference·internal"·href="generated/numpy.random.Generator.standard_exponential.html#numpy.random.Generator.standard_exponential"·title="numpy.random.Generator.standard_exponential"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">standard_exponential</span></code></a>)</p></li>
572 </ul>572 </ul>
573 </li>573 </li>
574 </ul>574 </ul>
575 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[6]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>575 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[6]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>
  
576 <span·class="gp">In·[7]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float64</span><span·class="p">)</span>576 <span·class="gp">In·[7]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float64</span><span·class="p">)</span>
577 <span·class="gh">Out[7]:·</span><span·class="go">array([0.19452855,·0.8623312·,·0.87792506])</span>577 <span·class="gh">Out[7]:·</span><span·class="go">array([0.96395281,·0.04954194,·0.25917649])</span>
  
578 <span·class="gp">In·[8]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float32</span><span·class="p">)</span>578 <span·class="gp">In·[8]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float32</span><span·class="p">)</span>
579 <span·class="gh">Out[8]:·</span><span·class="go">array([0.06192333,·0.66640437,·0.17871135],·dtype=float32)</span>579 <span·class="gh">Out[8]:·</span><span·class="go">array([0.7857391·,·0.9779958·,·0.98701364],·dtype=float32)</span>
  
580 <span·class="gp">In·[9]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">integers</span><span·class="p">(</span><span·class="mi">0</span><span·class="p">,</span>·<span·class="mi">256</span><span·class="p">,</span>·<span·class="n">size</span><span·class="o">=</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">uint8</span><span·class="p">)</span>580 <span·class="gp">In·[9]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">integers</span><span·class="p">(</span><span·class="mi">0</span><span·class="p">,</span>·<span·class="mi">256</span><span·class="p">,</span>·<span·class="n">size</span><span·class="o">=</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">uint8</span><span·class="p">)</span>
581 <span·class="gh">Out[9]:·</span><span·class="go">array([156,·162,·124],·dtype=uint8)</span>581 <span·class="gh">Out[9]:·</span><span·class="go">array([62,·82,·77],·dtype=uint8)</span>
582 </pre></div>582 </pre></div>
583 </div>583 </div>
584 <ul>584 <ul>
585 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">out</span></code>·argument·that·allows·existing·arrays·to·be·filled·for585 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">out</span></code>·argument·that·allows·existing·arrays·to·be·filled·for
586 select·distributions</p>586 select·distributions</p>
587 <ul·class="simple">587 <ul·class="simple">
588 <li><p>Uniforms·(<a·class="reference·internal"·href="generated/numpy.random.Generator.random.html#numpy.random.Generator.random"·title="numpy.random.Generator.random"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random</span></code></a>)</p></li>588 <li><p>Uniforms·(<a·class="reference·internal"·href="generated/numpy.random.Generator.random.html#numpy.random.Generator.random"·title="numpy.random.Generator.random"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random</span></code></a>)</p></li>
Offset 598, 18 lines modifiedOffset 598, 18 lines modified
598 </li>598 </li>
599 </ul>599 </ul>
600 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[10]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>600 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[10]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>
  
601 <span·class="gp">In·[11]:·</span><span·class="n">existing</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">zeros</span><span·class="p">(</span><span·class="mi">4</span><span·class="p">)</span>601 <span·class="gp">In·[11]:·</span><span·class="n">existing</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">zeros</span><span·class="p">(</span><span·class="mi">4</span><span·class="p">)</span>
  
602 <span·class="gp">In·[12]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="n">out</span><span·class="o">=</span><span·class="n">existing</span><span·class="p">[:</span><span·class="mi">2</span><span·class="p">])</span>602 <span·class="gp">In·[12]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="n">out</span><span·class="o">=</span><span·class="n">existing</span><span·class="p">[:</span><span·class="mi">2</span><span·class="p">])</span>
603 <span·class="gh">Out[12]:·</span><span·class="go">array([0.01987656,·0.69498653])</span>603 <span·class="gh">Out[12]:·</span><span·class="go">array([0.86816272,·0.21975435])</span>
  
604 <span·class="gp">In·[13]:·</span><span·class="nb">print</span><span·class="p">(</span><span·class="n">existing</span><span·class="p">)</span>604 <span·class="gp">In·[13]:·</span><span·class="nb">print</span><span·class="p">(</span><span·class="n">existing</span><span·class="p">)</span>
605 <span·class="go">[0.01987656·0.69498653·0.·········0.········]</span>605 <span·class="go">[0.86816272·0.21975435·0.·········0.········]</span>
606 </pre></div>606 </pre></div>
607 </div>607 </div>
608 <ul·class="simple">608 <ul·class="simple">
609 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">axis</span></code>·argument·for·methods·like·<a·class="reference·internal"·href="generated/numpy.random.Generator.choice.html#numpy.random.Generator.choice"·title="numpy.random.Generator.choice"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">choice</span></code></a>,609 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">axis</span></code>·argument·for·methods·like·<a·class="reference·internal"·href="generated/numpy.random.Generator.choice.html#numpy.random.Generator.choice"·title="numpy.random.Generator.choice"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">choice</span></code></a>,
610 <a·class="reference·internal"·href="generated/numpy.random.Generator.permutation.html#numpy.random.Generator.permutation"·title="numpy.random.Generator.permutation"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">permutation</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle"·title="numpy.random.Generator.shuffle"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">shuffle</span></code></a>·that·controls·which610 <a·class="reference·internal"·href="generated/numpy.random.Generator.permutation.html#numpy.random.Generator.permutation"·title="numpy.random.Generator.permutation"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">permutation</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle"·title="numpy.random.Generator.shuffle"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">shuffle</span></code></a>·that·controls·which
611 axis·an·operation·is·performed·over·for·multi-dimensional·arrays.</p></li>611 axis·an·operation·is·performed·over·for·multi-dimensional·arrays.</p></li>
612 </ul>612 </ul>
Offset 621, 25 lines modifiedOffset 621, 25 lines modified
621 <span·class="gh">Out[16]:·</span>621 <span·class="gh">Out[16]:·</span>
622 <span·class="go">array([[·0,··1,··2,··3],</span>622 <span·class="go">array([[·0,··1,··2,··3],</span>
623 <span·class="go">·······[·4,··5,··6,··7],</span>623 <span·class="go">·······[·4,··5,··6,··7],</span>
624 <span·class="go">·······[·8,··9,·10,·11]])</span>624 <span·class="go">·······[·8,··9,·10,·11]])</span>
  
625 <span·class="gp">In·[17]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">choice</span><span·class="p">(</span><span·class="n">a</span><span·class="p">,</span>·<span·class="n">axis</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">,</span>·<span·class="n">size</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">)</span>625 <span·class="gp">In·[17]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">choice</span><span·class="p">(</span><span·class="n">a</span><span·class="p">,</span>·<span·class="n">axis</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">,</span>·<span·class="n">size</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">)</span>
626 <span·class="gh">Out[17]:·</span>626 <span·class="gh">Out[17]:·</span>
627 <span·class="go">array([[·3,··1,··1,··1,··0],</span>627 <span·class="go">array([[·3,··0,··3,··1,··3],</span>
628 <span·class="go">·······[·7,··5,··5,··5,··4],</span>628 <span·class="go">·······[·7,··4,··7,··5,··7],</span>
629 <span·class="go">·······[11,··9,··9,··9,··8]])</span>629 <span·class="go">·······[11,··8,·11,··9,·11]])</span>
  
630 <span·class="gp">In·[18]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">shuffle</span><span·class="p">(</span><span·class="n">a</span><span·class="p">,</span>·<span·class="n">axis</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>········<span·class="c1">#·Shuffle·in-place</span>630 <span·class="gp">In·[18]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">shuffle</span><span·class="p">(</span><span·class="n">a</span><span·class="p">,</span>·<span·class="n">axis</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>········<span·class="c1">#·Shuffle·in-place</span>
  
631 <span·class="gp">In·[19]:·</span><span·class="n">a</span>631 <span·class="gp">In·[19]:·</span><span·class="n">a</span>
632 <span·class="gh">Out[19]:·</span>632 <span·class="gh">Out[19]:·</span>
633 <span·class="go">array([[·0,··1,··3,··2],</span>633 <span·class="go">array([[·2,··3,··1,··0],</span>
634 <span·class="go">·······[·4,··5,··7,··6],</span>634 <span·class="go">·······[·6,··7,··5,··4],</span>
635 <span·class="go">·······[·8,··9,·11,·10]])</span>635 <span·class="go">·······[10,·11,··9,··8]])</span>
636 </pre></div>636 </pre></div>
637 </div>637 </div>
638 <ul·class="simple">638 <ul·class="simple">
639 <li><p>Added·a·method·to·sample·from·the·complex·normal·distribution639 <li><p>Added·a·method·to·sample·from·the·complex·normal·distribution
640 (<em·class="xref·py·py-obj">complex_normal</em>)</p></li>640 (<em·class="xref·py·py-obj">complex_normal</em>)</p></li>
641 </ul>641 </ul>
642 </section>642 </section>
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Offset 101, 26 lines modifiedOffset 101, 26 lines modified
101 In·[1]:·import·numpy.random101 In·[1]:·import·numpy.random
  
102 In·[2]:·rng·=·np.random.default_rng()102 In·[2]:·rng·=·np.random.default_rng()
  
103 In·[3]:·%timeit·-n·1·rng.standard_normal(100000)103 In·[3]:·%timeit·-n·1·rng.standard_normal(100000)
104 ···...:·%timeit·-n·1·numpy.random.standard_normal(100000)104 ···...:·%timeit·-n·1·numpy.random.standard_normal(100000)
105 ···...:105 ···...:
 106 3.44·ms·+-·38.5·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
106 7.25·ms·+-·74.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)107 7.52·ms·+-·18.9·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
107 14.7·ms·+-·17.5·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each) 
108 In·[4]:·%timeit·-n·1·rng.standard_exponential(100000)108 In·[4]:·%timeit·-n·1·rng.standard_exponential(100000)
109 ···...:·%timeit·-n·1·numpy.random.standard_exponential(100000)109 ···...:·%timeit·-n·1·numpy.random.standard_exponential(100000)
110 ···...:110 ···...:
111 6.09·ms·+-·42.2·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)111 3.15·ms·+-·20·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
112 17.3·ms·+-·64.3·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)112 7.51·ms·+-·16.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
113 In·[5]:·%timeit·-n·1·rng.standard_gamma(3.0,·100000)113 In·[5]:·%timeit·-n·1·rng.standard_gamma(3.0,·100000)
114 ···...:·%timeit·-n·1·numpy.random.standard_gamma(3.0,·100000)114 ···...:·%timeit·-n·1·numpy.random.standard_gamma(3.0,·100000)
115 ···...:115 ···...:
116 29.6·ms·+-·3.38·ms·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)116 12.7·ms·+-·63.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
117 34·ms·+-·1.45·ms·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)117 18.4·ms·+-·29.1·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
118 ····*·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s·is·now·the·canonical·way·to·generate·integer·random·numbers·from118 ····*·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s·is·now·the·canonical·way·to·generate·integer·random·numbers·from
119 ······a·discrete·uniform·distribution.·This·replaces·both·_\x8r_\x8a_\x8n_\x8d_\x8i_\x8n_\x8t·and·the119 ······a·discrete·uniform·distribution.·This·replaces·both·_\x8r_\x8a_\x8n_\x8d_\x8i_\x8n_\x8t·and·the
120 ······deprecated·_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s.120 ······deprecated·_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s.
121 ····*·The·_\x8r_\x8a_\x8n_\x8d·and·_\x8r_\x8a_\x8n_\x8d_\x8n·methods·are·only·available·through·the·legacy121 ····*·The·_\x8r_\x8a_\x8n_\x8d·and·_\x8r_\x8a_\x8n_\x8d_\x8n·methods·are·only·available·through·the·legacy
122 ······_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e.122 ······_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e.
123 ····*·_\x8G_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8o_\x8r_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·is·now·the·canonical·way·to·generate·floating-point123 ····*·_\x8G_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8o_\x8r_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·is·now·the·canonical·way·to·generate·floating-point
124 ······random·numbers,·which·replaces·_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·_\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·and124 ······random·numbers,·which·replaces·_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·_\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·and
Offset 139, 38 lines modifiedOffset 139, 38 lines modified
139 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·and·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s)139 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·and·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s)
140 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)140 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)
141 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)141 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)
142 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)142 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)
143 In·[6]:·rng·=·np.random.default_rng()143 In·[6]:·rng·=·np.random.default_rng()
  
144 In·[7]:·rng.random(3,·dtype=np.float64)144 In·[7]:·rng.random(3,·dtype=np.float64)
145 Out[7]:·array([0.19452855,·0.8623312·,·0.87792506])145 Out[7]:·array([0.96395281,·0.04954194,·0.25917649])
  
146 In·[8]:·rng.random(3,·dtype=np.float32)146 In·[8]:·rng.random(3,·dtype=np.float32)
147 Out[8]:·array([0.06192333,·0.66640437,·0.17871135],·dtype=float32)147 Out[8]:·array([0.7857391·,·0.9779958·,·0.98701364],·dtype=float32)
  
148 In·[9]:·rng.integers(0,·256,·size=3,·dtype=np.uint8)148 In·[9]:·rng.integers(0,·256,·size=3,·dtype=np.uint8)
149 Out[9]:·array([156,·162,·124],·dtype=uint8)149 Out[9]:·array([62,·82,·77],·dtype=uint8)
150 ····*·Optional·out·argument·that·allows·existing·arrays·to·be·filled·for·select150 ····*·Optional·out·argument·that·allows·existing·arrays·to·be·filled·for·select
151 ······distributions151 ······distributions
152 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m)152 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m)
153 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)153 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)
154 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)154 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)
155 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)155 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)
156 ······This·allows·multithreading·to·fill·large·arrays·in·chunks·using·suitable156 ······This·allows·multithreading·to·fill·large·arrays·in·chunks·using·suitable
157 ······BitGenerators·in·parallel.157 ······BitGenerators·in·parallel.
158 In·[10]:·rng·=·np.random.default_rng()158 In·[10]:·rng·=·np.random.default_rng()
  
159 In·[11]:·existing·=·np.zeros(4)159 In·[11]:·existing·=·np.zeros(4)
  
160 In·[12]:·rng.random(out=existing[:2])160 In·[12]:·rng.random(out=existing[:2])
161 Out[12]:·array([0.01987656,·0.69498653])161 Out[12]:·array([0.86816272,·0.21975435])
  
162 In·[13]:·print(existing)162 In·[13]:·print(existing)
163 [0.01987656·0.69498653·0.·········0.········]163 [0.86816272·0.21975435·0.·········0.········]
164 ····*·Optional·axis·argument·for·methods·like·_\x8c_\x8h_\x8o_\x8i_\x8c_\x8e,·_\x8p_\x8e_\x8r_\x8m_\x8u_\x8t_\x8a_\x8t_\x8i_\x8o_\x8n·and·_\x8s_\x8h_\x8u_\x8f_\x8f_\x8l_\x8e164 ····*·Optional·axis·argument·for·methods·like·_\x8c_\x8h_\x8o_\x8i_\x8c_\x8e,·_\x8p_\x8e_\x8r_\x8m_\x8u_\x8t_\x8a_\x8t_\x8i_\x8o_\x8n·and·_\x8s_\x8h_\x8u_\x8f_\x8f_\x8l_\x8e
165 ······that·controls·which·axis·an·operation·is·performed·over·for·multi-165 ······that·controls·which·axis·an·operation·is·performed·over·for·multi-
166 ······dimensional·arrays.166 ······dimensional·arrays.
167 In·[14]:·rng·=·np.random.default_rng()167 In·[14]:·rng·=·np.random.default_rng()
  
168 In·[15]:·a·=·np.arange(12).reshape((3,·4))168 In·[15]:·a·=·np.arange(12).reshape((3,·4))
  
Offset 178, 25 lines modifiedOffset 178, 25 lines modified
178 Out[16]:178 Out[16]:
179 array([[·0,··1,··2,··3],179 array([[·0,··1,··2,··3],
180 ·······[·4,··5,··6,··7],180 ·······[·4,··5,··6,··7],
181 ·······[·8,··9,·10,·11]])181 ·······[·8,··9,·10,·11]])
  
182 In·[17]:·rng.choice(a,·axis=1,·size=5)182 In·[17]:·rng.choice(a,·axis=1,·size=5)
183 Out[17]:183 Out[17]:
184 array([[·3,··1,··1,··1,··0],184 array([[·3,··0,··3,··1,··3],
185 ·······[·7,··5,··5,··5,··4],185 ·······[·7,··4,··7,··5,··7],
186 ·······[11,··9,··9,··9,··8]])186 ·······[11,··8,·11,··9,·11]])
  
187 In·[18]:·rng.shuffle(a,·axis=1)········#·Shuffle·in-place187 In·[18]:·rng.shuffle(a,·axis=1)········#·Shuffle·in-place
  
188 In·[19]:·a188 In·[19]:·a
189 Out[19]:189 Out[19]:
190 array([[·0,··1,··3,··2],190 array([[·2,··3,··1,··0],
191 ·······[·4,··5,··7,··6],191 ·······[·6,··7,··5,··4],
192 ·······[·8,··9,·11,·10]])192 ·······[10,·11,··9,··8]])
193 ····*·Added·a·method·to·sample·from·the·complex·normal·distribution193 ····*·Added·a·method·to·sample·from·the·complex·normal·distribution
194 ······(c\x8co\x8om\x8mp\x8pl\x8le\x8ex\x8x_\x8_n\x8no\x8or\x8rm\x8ma\x8al\x8l)194 ······(c\x8co\x8om\x8mp\x8pl\x8le\x8ex\x8x_\x8_n\x8no\x8or\x8rm\x8ma\x8al\x8l)
195 _\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s195 _\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s
196 _\x8M_\x8u_\x8l_\x8t_\x8i_\x8t_\x8h_\x8r_\x8e_\x8a_\x8d_\x8e_\x8d_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8i_\x8o_\x8n196 _\x8M_\x8u_\x8l_\x8t_\x8i_\x8t_\x8h_\x8r_\x8e_\x8a_\x8d_\x8e_\x8d_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8i_\x8o_\x8n
197 _\x8n_\x8e_\x8x_\x8t197 _\x8n_\x8e_\x8x_\x8t
198 _\x8P_\x8e_\x8r_\x8f_\x8o_\x8r_\x8m_\x8a_\x8n_\x8c_\x8e198 _\x8P_\x8e_\x8r_\x8f_\x8o_\x8r_\x8m_\x8a_\x8n_\x8c_\x8e
199 ©·Copyright·2008-2024,·NumPy·Developers.199 ©·Copyright·2008-2024,·NumPy·Developers.
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592 <span·class="gp">In·[3]:·</span><span·class="n">y</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">arange</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>·<span·class="o">+</span>·<span·class="n">rng</span><span·class="o">.</span><span·class="n">standard_normal</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>592 <span·class="gp">In·[3]:·</span><span·class="n">y</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">arange</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>·<span·class="o">+</span>·<span·class="n">rng</span><span·class="o">.</span><span·class="n">standard_normal</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>
593 </pre></div>593 </pre></div>
594 </div>594 </div>
595 <p>With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)595 <p>With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)
596 could·be·applied·to·these·data·with·<a·class="reference·internal"·href="generated/numpy.polyfit.html#numpy.polyfit"·title="numpy.polyfit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polyfit</span></code></a>:</p>596 could·be·applied·to·these·data·with·<a·class="reference·internal"·href="generated/numpy.polyfit.html#numpy.polyfit"·title="numpy.polyfit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polyfit</span></code></a>:</p>
597 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="n">np</span><span·class="o">.</span><span·class="n">polyfit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>597 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="n">np</span><span·class="o">.</span><span·class="n">polyfit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>
598 <span·class="gh">Out[4]:·</span><span·class="go">array([1.04481468,·0.25605254])</span>598 <span·class="gh">Out[4]:·</span><span·class="go">array([0.84792215,·0.07212898])</span>
599 </pre></div>599 </pre></div>
600 </div>600 </div>
601 <p>With·the·new·polynomial·API,·the·<a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.fit.html#numpy.polynomial.polynomial.Polynomial.fit"·title="numpy.polynomial.polynomial.Polynomial.fit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">fit</span></code></a>601 <p>With·the·new·polynomial·API,·the·<a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.fit.html#numpy.polynomial.polynomial.Polynomial.fit"·title="numpy.polynomial.polynomial.Polynomial.fit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">fit</span></code></a>
602 class·method·is·preferred:</p>602 class·method·is·preferred:</p>
603 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="n">p_fitted</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">polynomial</span><span·class="o">.</span><span·class="n">Polynomial</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>603 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="n">p_fitted</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">polynomial</span><span·class="o">.</span><span·class="n">Polynomial</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>
  
604 <span·class="gp">In·[6]:·</span><span·class="n">p_fitted</span>604 <span·class="gp">In·[6]:·</span><span·class="n">p_fitted</span>
605 <span·class="gh">Out[6]:·</span><span·class="go">Polynomial([4.95771861,·4.70166607],·domain=[0.,·9.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>605 <span·class="gh">Out[6]:·</span><span·class="go">Polynomial([3.88777865,·3.81564967],·domain=[0.,·9.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>
606 </pre></div>606 </pre></div>
607 </div>607 </div>
608 <p>Note·that·the·coefficients·are·given·<em>in·the·scaled·domain</em>·defined·by·the608 <p>Note·that·the·coefficients·are·given·<em>in·the·scaled·domain</em>·defined·by·the
609 linear·mapping·between·the·<code·class="docutils·literal·notranslate"><span·class="pre">window</span></code>·and·<code·class="docutils·literal·notranslate"><span·class="pre">domain</span></code>.609 linear·mapping·between·the·<code·class="docutils·literal·notranslate"><span·class="pre">window</span></code>·and·<code·class="docutils·literal·notranslate"><span·class="pre">domain</span></code>.
610 <a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.convert.html#numpy.polynomial.polynomial.Polynomial.convert"·title="numpy.polynomial.polynomial.Polynomial.convert"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">convert</span></code></a>·can·be·used·to·get·the610 <a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.convert.html#numpy.polynomial.polynomial.Polynomial.convert"·title="numpy.polynomial.polynomial.Polynomial.convert"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">convert</span></code></a>·can·be·used·to·get·the
611 coefficients·in·the·unscaled·data·domain.</p>611 coefficients·in·the·unscaled·data·domain.</p>
612 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[7]:·</span><span·class="n">p_fitted</span><span·class="o">.</span><span·class="n">convert</span><span·class="p">()</span>612 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[7]:·</span><span·class="n">p_fitted</span><span·class="o">.</span><span·class="n">convert</span><span·class="p">()</span>
613 <span·class="gh">Out[7]:·</span><span·class="go">Polynomial([0.25605254,·1.04481468],·domain=[-1.,··1.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>613 <span·class="gh">Out[7]:·</span><span·class="go">Polynomial([0.07212898,·0.84792215],·domain=[-1.,··1.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>
614 </pre></div>614 </pre></div>
615 </div>615 </div>
616 </section>616 </section>
617 </section>617 </section>
618 <section·id="documentation-for-the-polynomial-package">618 <section·id="documentation-for-the-polynomial-package">
619 <h2>Documentation·for·the·<a·class="reference·internal"·href="routines.polynomials-package.html#module-numpy.polynomial"·title="numpy.polynomial"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polynomial</span></code></a>·package<a·class="headerlink"·href="#documentation-for-the-polynomial-package"·title="Link·to·this·heading">#</a></h2>619 <h2>Documentation·for·the·<a·class="reference·internal"·href="routines.polynomials-package.html#module-numpy.polynomial"·title="numpy.polynomial"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polynomial</span></code></a>·package<a·class="headerlink"·href="#documentation-for-the-polynomial-package"·title="Link·to·this·heading">#</a></h2>
620 <p>In·addition·to·standard·power·series·polynomials,·the·polynomial·package620 <p>In·addition·to·standard·power·series·polynomials,·the·polynomial·package
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150 In·[2]:·x·=·np.arange(10)150 In·[2]:·x·=·np.arange(10)
  
151 In·[3]:·y·=·np.arange(10)·+·rng.standard_normal(10)151 In·[3]:·y·=·np.arange(10)·+·rng.standard_normal(10)
152 With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)152 With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)
153 could·be·applied·to·these·data·with·_\x8p_\x8o_\x8l_\x8y_\x8f_\x8i_\x8t:153 could·be·applied·to·these·data·with·_\x8p_\x8o_\x8l_\x8y_\x8f_\x8i_\x8t:
154 In·[4]:·np.polyfit(x,·y,·deg=1)154 In·[4]:·np.polyfit(x,·y,·deg=1)
155 Out[4]:·array([1.04481468,·0.25605254])155 Out[4]:·array([0.84792215,·0.07212898])
156 With·the·new·polynomial·API,·the·_\x8f_\x8i_\x8t·class·method·is·preferred:156 With·the·new·polynomial·API,·the·_\x8f_\x8i_\x8t·class·method·is·preferred:
157 In·[5]:·p_fitted·=·np.polynomial.Polynomial.fit(x,·y,·deg=1)157 In·[5]:·p_fitted·=·np.polynomial.Polynomial.fit(x,·y,·deg=1)
  
158 In·[6]:·p_fitted158 In·[6]:·p_fitted
159 Out[6]:·Polynomial([4.95771861,·4.70166607],·domain=[0.,·9.],·window=[-1.,159 Out[6]:·Polynomial([3.88777865,·3.81564967],·domain=[0.,·9.],·window=[-1.,
160 1.],·symbol='x')160 1.],·symbol='x')
161 Note·that·the·coefficients·are·given·i\x8in\x8n·t\x8th\x8he\x8e·s\x8sc\x8ca\x8al\x8le\x8ed\x8d·d\x8do\x8om\x8ma\x8ai\x8in\x8n·defined·by·the·linear161 Note·that·the·coefficients·are·given·i\x8in\x8n·t\x8th\x8he\x8e·s\x8sc\x8ca\x8al\x8le\x8ed\x8d·d\x8do\x8om\x8ma\x8ai\x8in\x8n·defined·by·the·linear
162 mapping·between·the·window·and·domain.·_\x8c_\x8o_\x8n_\x8v_\x8e_\x8r_\x8t·can·be·used·to·get·the162 mapping·between·the·window·and·domain.·_\x8c_\x8o_\x8n_\x8v_\x8e_\x8r_\x8t·can·be·used·to·get·the
163 coefficients·in·the·unscaled·data·domain.163 coefficients·in·the·unscaled·data·domain.
164 In·[7]:·p_fitted.convert()164 In·[7]:·p_fitted.convert()
165 Out[7]:·Polynomial([0.25605254,·1.04481468],·domain=[-1.,··1.],·window=[-1.,165 Out[7]:·Polynomial([0.07212898,·0.84792215],·domain=[-1.,··1.],·window=[-1.,
166 1.],·symbol='x')166 1.],·symbol='x')
167 *\x8**\x8**\x8**\x8**\x8*·D\x8Do\x8oc\x8cu\x8um\x8me\x8en\x8nt\x8ta\x8at\x8ti\x8io\x8on\x8n·f\x8fo\x8or\x8r·t\x8th\x8he\x8e·_\x8p\x8p_\x8o\x8o_\x8l\x8l_\x8y\x8y_\x8n\x8n_\x8o\x8o_\x8m\x8m_\x8i\x8i_\x8a\x8a_\x8l\x8l·p\x8pa\x8ac\x8ck\x8ka\x8ag\x8ge\x8e_\x8#\x8#·*\x8**\x8**\x8**\x8**\x8*167 *\x8**\x8**\x8**\x8**\x8*·D\x8Do\x8oc\x8cu\x8um\x8me\x8en\x8nt\x8ta\x8at\x8ti\x8io\x8on\x8n·f\x8fo\x8or\x8r·t\x8th\x8he\x8e·_\x8p\x8p_\x8o\x8o_\x8l\x8l_\x8y\x8y_\x8n\x8n_\x8o\x8o_\x8m\x8m_\x8i\x8i_\x8a\x8a_\x8l\x8l·p\x8pa\x8ac\x8ck\x8ka\x8ag\x8ge\x8e_\x8#\x8#·*\x8**\x8**\x8**\x8**\x8*
168 In·addition·to·standard·power·series·polynomials,·the·polynomial·package168 In·addition·to·standard·power·series·polynomials,·the·polynomial·package
169 provides·several·additional·kinds·of·polynomials·including·Chebyshev,·Hermite169 provides·several·additional·kinds·of·polynomials·including·Chebyshev,·Hermite
170 (two·subtypes),·Laguerre,·and·Legendre·polynomials.·Each·of·these·has·an170 (two·subtypes),·Laguerre,·and·Legendre·polynomials.·Each·of·these·has·an
171 associated·c\x8co\x8on\x8nv\x8ve\x8en\x8ni\x8ie\x8en\x8nc\x8ce\x8e·c\x8cl\x8la\x8as\x8ss\x8s·available·from·the·_\x8n_\x8u_\x8m_\x8p_\x8y_\x8._\x8p_\x8o_\x8l_\x8y_\x8n_\x8o_\x8m_\x8i_\x8a_\x8l·namespace·that171 associated·c\x8co\x8on\x8nv\x8ve\x8en\x8ni\x8ie\x8en\x8nc\x8ce\x8e·c\x8cl\x8la\x8as\x8ss\x8s·available·from·the·_\x8n_\x8u_\x8m_\x8p_\x8y_\x8._\x8p_\x8o_\x8l_\x8y_\x8n_\x8o_\x8m_\x8i_\x8a_\x8l·namespace·that
172 provides·a·consistent·interface·for·working·with·polynomials·regardless·of172 provides·a·consistent·interface·for·working·with·polynomials·regardless·of
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Offset 32331, 15 lines modifiedOffset 32331, 14 lines modified
32331 ········"01280782":·[2335,·2378,·2425],32331 ········"01280782":·[2335,·2378,·2425],
32332 ········"016":·[648,·653],32332 ········"016":·[648,·653],
32333 ········"01652764":·2631,32333 ········"01652764":·2631,
32334 ········"01666667":·1544,32334 ········"01666667":·1544,
32335 ········"016j":·2105,32335 ········"016j":·2105,
32336 ········"01831564":·1660,32336 ········"01831564":·1660,
32337 ········"018318":·[2353,·2400,·2450],32337 ········"018318":·[2353,·2400,·2450],
32338 ········"01987656":·2461, 
32339 ········"01j":·514,32338 ········"01j":·514,
32340 ········"01t00":·[55,·62,·361,·2525],32339 ········"01t00":·[55,·62,·361,·2525],
32341 ········"01t08":·2525,32340 ········"01t08":·2525,
32342 ········"01t12":·55,32341 ········"01t12":·55,
32343 ········"02":·[54,·55,·147,·162,·163,·410,·547,·566,·669,·1335,·1586,·1601,·1658,·1715,·1772,·1816,·1829,·1885,·2104],32342 ········"02":·[54,·55,·147,·162,·163,·410,·547,·566,·669,·1335,·1586,·1601,·1658,·1715,·1772,·1816,·1829,·1885,·2104],
32344 ········"020995":·57,32343 ········"020995":·57,
32345 ········"02284196":·1697,32344 ········"02284196":·1697,
Offset 32363, 35 lines modifiedOffset 32362, 35 lines modified
32363 ········"0396842":·680,32362 ········"0396842":·680,
32364 ········"03t13":·55,32363 ········"03t13":·55,
32365 ········"04":·[54,·55,·164,·410,·547,·1586,·2463,·2594,·2655],32364 ········"04":·[54,·55,·164,·410,·547,·1586,·2463,·2594,·2655],
32366 ········"0400":·360,32365 ········"0400":·360,
32367 ········"04097352":·2631,32366 ········"04097352":·2631,
32368 ········"04166667":·[1544,·1585],32367 ········"04166667":·[1544,·1585],
32369 ········"04211c6":·2521,32368 ········"04211c6":·2521,
32370 ········"04481468":·2488, 
32371 ········"04551152e":·2104,32369 ········"04551152e":·2104,
32372 ········"04719755":·1911,32370 ········"04719755":·1911,
 32371 ········"04954194":·2461,
32373 ········"05":·[55,·91,·163,·410,·548,·669,·896,·1095,·1871,·2083,·2173,·2353,·2400,·2450,·2644],32372 ········"05":·[55,·91,·163,·410,·548,·669,·896,·1095,·1871,·2083,·2173,·2353,·2400,·2450,·2644],
32374 ········"0500":·360,32373 ········"0500":·360,
32375 ········"05093587":·2631,32374 ········"05093587":·2631,
32376 ········"05208333":·1585,32375 ········"05208333":·1585,
32377 ········"05263157894736836":·2257,32376 ········"05263157894736836":·2257,
32378 ········"0549999999999997":·2083,32377 ········"0549999999999997":·2083,
32379 ········"055":·2083,32378 ········"055":·2083,
32380 ········"0596779":·1153,32379 ········"0596779":·1153,
32381 ········"06":·[55,·566,·2083,·2508],32380 ········"06":·[55,·566,·2083,·2508],
32382 ········"0614962j":·[439,·453],32381 ········"0614962j":·[439,·453],
32383 ········"06192333":·2461, 
32384 ········"0625":·[418,·624,·1645],32382 ········"0625":·[418,·624,·1645],
32385 ········"06369197489564249":·2458,32383 ········"06369197489564249":·2458,
32386 ········"06381726":·349,32384 ········"06381726":·349,
32387 ········"0660":·[302,·2131],32385 ········"0660":·[302,·2131],
32388 ········"06959433e":·[420,·947],32386 ········"06959433e":·[420,·947],
32389 ········"07":·[55,·164,·547,·896,·897,·1335,·2170,·2508],32387 ········"07":·[55,·164,·547,·896,·897,·1335,·2170,·2508],
32390 ········"07106781e":·514,32388 ········"07106781e":·514,
 32389 ········"07212898":·2488,
32391 ········"07407407":·1809,32390 ········"07407407":·1809,
32392 ········"07779185":·2458,32391 ········"07779185":·2458,
32393 ········"07937323":·524,32392 ········"07937323":·524,
32394 ········"07944154":·[657,·2651],32393 ········"07944154":·[657,·2651],
32395 ········"08":·[55,·91,·147,·410,·523,·548,·896,·1095,·2322,·2366,·2413,·2525,·2655],32394 ········"08":·[55,·91,·147,·410,·523,·548,·896,·1095,·2322,·2366,·2413,·2525,·2655],
32396 ········"0800":·2525,32395 ········"0800":·2525,
32397 ········"08187135":·54,32396 ········"08187135":·54,
Offset 32400, 15 lines modifiedOffset 32399, 15 lines modified
32400 ········"0855":·2638,32399 ········"0855":·2638,
32401 ········"08553692":·38,32400 ········"08553692":·38,
32402 ········"085537":·2638,32401 ········"085537":·2638,
32403 ········"0856306":·1154,32402 ········"0856306":·1154,
32404 ········"08618131":·1526,32403 ········"08618131":·1526,
32405 ········"08703704":·[1113,·1543],32404 ········"08703704":·[1113,·1543],
32406 ········"087300000000000003":·[2346,·2392,·2441],32405 ········"087300000000000003":·[2346,·2392,·2441],
32407 ········"09":·[55,·2171,·2323,·2367,·2414,·2461],32406 ········"09":·[55,·2171,·2323,·2367,·2414],
32408 ········"090097550553843":·2638,32407 ········"090097550553843":·2638,
32409 ········"09417735":·[349,·2457,·2635],32408 ········"09417735":·[349,·2457,·2635],
32410 ········"0943951":·1911,32409 ········"0943951":·1911,
32411 ········"09640474436813":·675,32410 ········"09640474436813":·675,
32412 ········"09861229":·[657,·2651],32411 ········"09861229":·[657,·2651],
32413 ········"0999755859375":·62,32412 ········"0999755859375":·62,
32414 ········"099975586":·62,32413 ········"099975586":·62,
Offset 32699, 15 lines modifiedOffset 32698, 15 lines modified
32699 ········"12345678903141592653589793":·2299,32698 ········"12345678903141592653589793":·2299,
32700 ········"123456789a12":·25,32699 ········"123456789a12":·25,
32701 ········"123456789a123456789b":·25,32700 ········"123456789a123456789b":·25,
32702 ········"1234567e":·2172,32701 ········"1234567e":·2172,
32703 ········"12346":·2462,32702 ········"12346":·2462,
32704 ········"1235":·2091,32703 ········"1235":·2091,
32705 ········"123abc":·[302,·305,·2131,·2134],32704 ········"123abc":·[302,·305,·2131,·2134],
32706 ········"124":·[98,·905,·2461],32705 ········"124":·[98,·905],
32707 ········"125":·[470,·660,·1114,·1142,·1645,·1651,·1899,·1900,·2239,·2339,·2382,·2429,·2460,·2491,·2655,·2662],32706 ········"125":·[470,·660,·1114,·1142,·1645,·1651,·1899,·1900,·2239,·2339,·2382,·2429,·2460,·2491,·2655,·2662],
32708 ········"12589991e":·645,32707 ········"12589991e":·645,
32709 ········"126":·[863,·1048,·1116,·1904],32708 ········"126":·[863,·1048,·1116,·1904],
32710 ········"1261":·2612,32709 ········"1261":·2612,
32711 ········"12658":·2560,32710 ········"12658":·2560,
32712 ········"12697628":·2631,32711 ········"12697628":·2631,
32713 ········"127":·[62,·66,·514,·863,·1048,·1102,·1116,·1904,·2301,·2302,·2462,·2463,·2464,·2583,·2635],32712 ········"127":·[62,·66,·514,·863,·1048,·1102,·1116,·1904,·2301,·2302,·2462,·2463,·2464,·2583,·2635],
Offset 33007, 15 lines modifiedOffset 33006, 14 lines modified
33007 ········"15355":·2566,33006 ········"15355":·2566,
33008 ········"15385":·2566,33007 ········"15385":·2566,
33009 ········"154":·[2463,·2662],33008 ········"154":·[2463,·2662],
33010 ········"15427":·2566,33009 ········"15427":·2566,
33011 ········"15463":·2566,33010 ········"15463":·2566,
33012 ········"155":·[2463,·2633],33011 ········"155":·[2463,·2633],
33013 ········"15534":·2566,33012 ········"15534":·2566,
33014 ········"156":·2461, 
33015 ········"15648":·2566,33013 ········"15648":·2566,
33016 ········"15666":·2572,33014 ········"15666":·2572,
33017 ········"15675":·2562,33015 ········"15675":·2562,
33018 ········"15676":·2562,33016 ········"15676":·2562,
33019 ········"15677":·2562,33017 ········"15677":·2562,
33020 ········"15679":·2562,33018 ········"15679":·2562,
33021 ········"15685":·2566,33019 ········"15685":·2566,
Offset 33078, 15 lines modifiedOffset 33076, 15 lines modified
33078 ········"16128":·2566,33076 ········"16128":·2566,
33079 ········"16132":·2564,33077 ········"16132":·2564,
33080 ········"16134":·2572,33078 ········"16134":·2572,
33081 ········"16153":·2566,33079 ········"16153":·2566,
33082 ········"16154":·2594,33080 ········"16154":·2594,
33083 ········"16156":·2572,33081 ········"16156":·2572,
33084 ········"16161":·2572,33082 ········"16161":·2572,
33085 ········"162":·[2461,·2463],33083 ········"162":·2463,
33086 ········"16200":·2572,33084 ········"16200":·2572,
33087 ········"1621":·[1913,·2236],33085 ········"1621":·[1913,·2236],
33088 ········"1622776601683795":·637,33086 ········"1622776601683795":·637,
33089 ········"16232":·2572,33087 ········"16232":·2572,
33090 ········"16236208e":·2104,33088 ········"16236208e":·2104,
33091 ········"16350":·2572,33089 ········"16350":·2572,
33092 ········"16354":·2656,33090 ········"16354":·2656,
Offset 33223, 15 lines modifiedOffset 33221, 14 lines modified
33223 ········"17756":·2571,33221 ········"17756":·2571,
33224 ········"1776":·2612,33222 ········"1776":·2612,
33225 ········"17774":·2571,33223 ········"17774":·2571,
33226 ········"17775":·2571,33224 ········"17775":·2571,
33227 ········"17786":·2571,33225 ········"17786":·2571,
33228 ········"178":·566,33226 ········"178":·566,
33229 ········"17843":·[2576,·2583],33227 ········"17843":·[2576,·2583],
33230 ········"17871135":·2461, 
33231 ········"17900":·2576,33228 ········"17900":·2576,
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