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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">1.03·ms·+-·54.9·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>526 <span·class="go">1.02·ms·+-·41.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
527 <span·class="go">2.51·ms·+-·19.1·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>527 <span·class="go">2.51·ms·+-·25.2·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">981·us·+-·22.2·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>533 <span·class="go">987·us·+-·9.32·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
534 <span·class="go">1.75·ms·+-·8.44·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>534 <span·class="go">1.75·ms·+-·16.3·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">2.47·ms·+-·25.4·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>540 <span·class="go">2.46·ms·+-·15.9·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
541 <span·class="go">4.47·ms·+-·16·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>541 <span·class="go">4.46·ms·+-·19.4·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([0.95234883,·0.01611173,·0.84589499])</span>577 <span·class="gh">Out[7]:·</span><span·class="go">array([0.54260604,·0.77878359,·0.77082726])</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([0.8747235·,·0.22989058,·0.28830016],·dtype=float32)</span>579 <span·class="gh">Out[8]:·</span><span·class="go">array([0.7993823·,·0.6500705·,·0.02361113],·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([108,·250,·131],·dtype=uint8)</span>581 <span·class="gh">Out[9]:·</span><span·class="go">array([·63,·195,··38],·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([0.88520721,·0.54551373])</span>603 <span·class="gh">Out[12]:·</span><span·class="go">array([0.93281603,·0.01499371])</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">[0.88520721·0.54551373·0.·········0.········]</span>605 <span·class="go">[0.93281603·0.01499371·0.·········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,··0,··2,··0,··1],</span>627 <span·class="go">array([[·2,··2,··3,··2,··0],</span>
628 <span·class="go">·······[·7,··4,··6,··4,··5],</span>628 <span·class="go">·······[·6,··6,··7,··6,··4],</span>
629 <span·class="go">·······[11,··8,·10,··8,··9]])</span>629 <span·class="go">·······[10,·10,·11,·10,··8]])</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,··2,··3],</span>633 <span·class="go">array([[·1,··0,··2,··3],</span>
634 <span·class="go">·······[·4,··5,··6,··7],</span>634 <span·class="go">·······[·5,··4,··6,··7],</span>
635 <span·class="go">·······[·8,··9,·10,·11]])</span>635 <span·class="go">·······[·9,··8,·10,·11]])</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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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 1.03·ms·+-·54.9·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)106 1.02·ms·+-·41.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
107 2.51·ms·+-·19.1·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)107 2.51·ms·+-·25.2·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 ···...:
111 981·us·+-·22.2·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)111 987·us·+-·9.32·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
112 1.75·ms·+-·8.44·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)112 1.75·ms·+-·16.3·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 2.47·ms·+-·25.4·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)116 2.46·ms·+-·15.9·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
117 4.47·ms·+-·16·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)117 4.46·ms·+-·19.4·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([0.95234883,·0.01611173,·0.84589499])145 Out[7]:·array([0.54260604,·0.77878359,·0.77082726])
  
146 In·[8]:·rng.random(3,·dtype=np.float32)146 In·[8]:·rng.random(3,·dtype=np.float32)
147 Out[8]:·array([0.8747235·,·0.22989058,·0.28830016],·dtype=float32)147 Out[8]:·array([0.7993823·,·0.6500705·,·0.02361113],·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([108,·250,·131],·dtype=uint8)149 Out[9]:·array([·63,·195,··38],·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([0.88520721,·0.54551373])161 Out[12]:·array([0.93281603,·0.01499371])
  
162 In·[13]:·print(existing)162 In·[13]:·print(existing)
163 [0.88520721·0.54551373·0.·········0.········]163 [0.93281603·0.01499371·0.·········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,··0,··2,··0,··1],184 array([[·2,··2,··3,··2,··0],
185 ·······[·7,··4,··6,··4,··5],185 ·······[·6,··6,··7,··6,··4],
186 ·······[11,··8,·10,··8,··9]])186 ·······[10,·10,·11,·10,··8]])
  
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,··2,··3],190 array([[·1,··0,··2,··3],
191 ·······[·4,··5,··6,··7],191 ·······[·5,··4,··6,··7],
192 ·······[·8,··9,·10,·11]])192 ·······[·9,··8,·10,·11]])
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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./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
    
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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([·0.98100691,·-0.17549395])</span>598 <span·class="gh">Out[4]:·</span><span·class="go">array([·1.05471935,·-0.57880148])</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([4.23903715,·4.4145311·],·domain=[0.,·9.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>605 <span·class="gh">Out[6]:·</span><span·class="go">Polynomial([4.16743561,·4.7462371·],·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([-0.17549395,··0.98100691],·domain=[-1.,··1.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>613 <span·class="gh">Out[7]:·</span><span·class="go">Polynomial([-0.57880148,··1.05471935],·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([·0.98100691,·-0.17549395])155 Out[4]:·array([·1.05471935,·-0.57880148])
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([4.23903715,·4.4145311·],·domain=[0.,·9.],·window=[-1.,159 Out[6]:·Polynomial([4.16743561,·4.7462371·],·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([-0.17549395,··0.98100691],·domain=[-1.,··1.],·window=[-1.,165 Out[7]:·Polynomial([-0.57880148,··1.05471935],·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
23.2 KB
./usr/share/doc/python-numpy/html/searchindex.js
23.1 KB
js-beautify {}
    
Offset 32285, 39 lines modifiedOffset 32285, 40 lines modified
32285 ········"010":·[652,·1600,·1657,·1714,·1771,·1828,·1884],32285 ········"010":·[652,·1600,·1657,·1714,·1771,·1828,·1884],
32286 ········"0100":·1517,32286 ········"0100":·1517,
32287 ········"01041667":·1583,32287 ········"01041667":·1583,
32288 ········"011":·[1600,·1657,·1714,·1771,·1828,·1884],32288 ········"011":·[1600,·1657,·1714,·1771,·1828,·1884],
32289 ········"012":·[1600,·1657,·1714,·1771,·1828,·1884],32289 ········"012":·[1600,·1657,·1714,·1771,·1828,·1884],
32290 ········"0123456789":·[312,·2130],32290 ········"0123456789":·[312,·2130],
32291 ········"01280782":·[2332,·2375,·2422],32291 ········"01280782":·[2332,·2375,·2422],
 32292 ········"01499371":·2458,
32292 ········"016":·[647,·652],32293 ········"016":·[647,·652],
32293 ········"01611173":·2458, 
32294 ········"01652764":·2626,32294 ········"01652764":·2626,
32295 ········"01666667":·1542,32295 ········"01666667":·1542,
32296 ········"016j":·2103,32296 ········"016j":·2103,
32297 ········"01831564":·1658,32297 ········"01831564":·1658,
32298 ········"018318":·[2350,·2397,·2447],32298 ········"018318":·[2350,·2397,·2447],
32299 ········"01j":·523,32299 ········"01j":·523,
32300 ········"01t00":·[55,·62,·370,·2522],32300 ········"01t00":·[55,·62,·370,·2522],
32301 ········"01t08":·2522,32301 ········"01t08":·2522,
32302 ········"01t12":·55,32302 ········"01t12":·55,
32303 ········"02":·[54,·55,·156,·171,·172,·419,·556,·575,·668,·1333,·1584,·1599,·1656,·1713,·1770,·1814,·1827,·1883,·2102],32303 ········"02":·[54,·55,·156,·171,·172,·419,·556,·575,·668,·1333,·1584,·1599,·1656,·1713,·1770,·1814,·1827,·1883,·2102,·2458],
32304 ········"020995":·57,32304 ········"020995":·57,
32305 ········"02284196":·1695,32305 ········"02284196":·1695,
32306 ········"02294967":·1638,32306 ········"02294967":·1638,
32307 ········"023":·2635,32307 ········"023":·2635,
32308 ········"02332573e":·54,32308 ········"02332573e":·54,
 32309 ········"02361113":·2458,
32309 ········"0253":·2643,32310 ········"0253":·2643,
32310 ········"02654825":·1889,32311 ········"02654825":·1889,
32311 ········"02658058e":·2657,32312 ········"02658058e":·2657,
32312 ········"02755911":·2657,32313 ········"02755911":·2657,
32313 ········"027559113243068367":·2657,32314 ········"027559113243068367":·2657,
32314 ········"02785049":·1865,32315 ········"02785049":·1865,
32315 ········"02i":·[522,·2635],32316 ········"02i":·[522,·2635],
32316 ········"03":·[55,·67,·172,·575,·668,·1333,·1584,·1814,·2458,·2649],32317 ········"03":·[55,·67,·172,·575,·668,·1333,·1584,·1814,·2649],
32317 ········"03125":·[1583,·2488],32318 ········"03125":·[1583,·2488],
32318 ········"0326911":·[2332,·2375,·2422],32319 ········"0326911":·[2332,·2375,·2422],
32319 ········"0361":·2604,32320 ········"0361":·2604,
32320 ········"03703704":·1807,32321 ········"03703704":·1807,
32321 ········"03943254e":·2102,32322 ········"03943254e":·2102,
32322 ········"03968254":·[1112,·1541],32323 ········"03968254":·[1112,·1541],
32323 ········"0396842":·679,32324 ········"0396842":·679,
Offset 32330, 14 lines modifiedOffset 32331, 15 lines modified
32330 ········"04551152e":·2102,32331 ········"04551152e":·2102,
32331 ········"04719755":·1909,32332 ········"04719755":·1909,
32332 ········"05":·[55,·100,·172,·419,·557,·668,·895,·1094,·1869,·2081,·2171,·2350,·2397,·2447],32333 ········"05":·[55,·100,·172,·419,·557,·668,·895,·1094,·1869,·2081,·2171,·2350,·2397,·2447],
32333 ········"0500":·369,32334 ········"0500":·369,
32334 ········"05093587":·2626,32335 ········"05093587":·2626,
32335 ········"05208333":·1583,32336 ········"05208333":·1583,
32336 ········"05263157894736836":·2254,32337 ········"05263157894736836":·2254,
 32338 ········"05471935":·2485,
32337 ········"0549999999999997":·2081,32339 ········"0549999999999997":·2081,
32338 ········"055":·2081,32340 ········"055":·2081,
32339 ········"0596779":·1152,32341 ········"0596779":·1152,
32340 ········"06":·[55,·575,·2081,·2505],32342 ········"06":·[55,·575,·2081,·2505],
32341 ········"0614962j":·[448,·462],32343 ········"0614962j":·[448,·462],
32342 ········"0625":·[87,·427,·1643],32344 ········"0625":·[87,·427,·1643],
32343 ········"06369197489564249":·2455,32345 ········"06369197489564249":·2455,
Offset 32503, 15 lines modifiedOffset 32505, 15 lines modified
32503 ········"1071":·2460,32505 ········"1071":·2460,
32504 ········"10725":·2534,32506 ········"10725":·2534,
32505 ········"10726":·2534,32507 ········"10726":·2534,
32506 ········"10727":·2534,32508 ········"10727":·2534,
32507 ········"10729":·2534,32509 ········"10729":·2534,
32508 ········"1073741821":·[429,·430,·946,·947,·1921],32510 ········"1073741821":·[429,·430,·946,·947,·1921],
32509 ········"1078":·2619,32511 ········"1078":·2619,
32510 ········"108":·[533,·2458,·2460],32512 ········"108":·[533,·2460],
32511 ········"10862":·2535,32513 ········"10862":·2535,
32512 ········"10868":·2535,32514 ········"10868":·2535,
32513 ········"1088311":·2340,32515 ········"1088311":·2340,
32514 ········"10898":·2539,32516 ········"10898":·2539,
32515 ········"109":·[145,·532,·2460],32517 ········"109":·[145,·532,·2460],
32516 ········"10905":·2535,32518 ········"10905":·2535,
32517 ········"10941":·2325,32519 ········"10941":·2325,
Offset 32689, 15 lines modifiedOffset 32691, 15 lines modified
32689 ········"1300000":·2626,32691 ········"1300000":·2626,
32690 ········"13020":·2546,32692 ········"13020":·2546,
32691 ········"13026":·2546,32693 ········"13026":·2546,
32692 ········"13028":·2546,32694 ········"13028":·2546,
32693 ········"13038":·2546,32695 ········"13038":·2546,
32694 ········"13041":·2546,32696 ········"13041":·2546,
32695 ········"13090":·[195,·826,·998,·1171,·1257,·1412,·1931],32697 ········"13090":·[195,·826,·998,·1171,·1257,·1412,·1931],
32696 ········"131":·[536,·2458,·2460],32698 ········"131":·[536,·2460],
32697 ········"1312":·494,32699 ········"1312":·494,
32698 ········"13182611e":·[429,·946],32700 ········"13182611e":·[429,·946],
32699 ········"132":·[536,·2327,·2371,·2418,·2460,·2628],32701 ········"132":·[536,·2327,·2371,·2418,·2460,·2628],
32700 ········"1324274851176597e":·1865,32702 ········"1324274851176597e":·1865,
32701 ········"133":·[536,·2327,·2371,·2418],32703 ········"133":·[536,·2327,·2371,·2418],
32702 ········"13392":·2548,32704 ········"13392":·2548,
32703 ········"13394":·2548,32705 ········"13394":·2548,
Offset 33079, 14 lines modifiedOffset 33081, 15 lines modified
33079 ········"16703":·2564,33081 ········"16703":·2564,
33080 ········"16705":·2564,33082 ········"16705":·2564,
33081 ········"16710":·2569,33083 ········"16710":·2569,
33082 ········"16714":·2564,33084 ········"16714":·2564,
33083 ········"1672":·2609,33085 ········"1672":·2609,
33084 ········"16724":·2564,33086 ········"16724":·2564,
33085 ········"16730":·2569,33087 ········"16730":·2569,
 33088 ········"16743561":·2485,
33086 ········"1675":·2609,33089 ········"1675":·2609,
33087 ········"16768":·2564,33090 ········"16768":·2564,
33088 ········"16772":·2564,33091 ········"16772":·2564,
33089 ········"16776":·2564,33092 ········"16776":·2564,
33090 ········"16779":·2564,33093 ········"16779":·2564,
33091 ········"1678":·55,33094 ········"1678":·55,
33092 ········"16780":·2564,33095 ········"16780":·2564,
Offset 33153, 15 lines modifiedOffset 33156, 14 lines modified
33153 ········"1749":·2608,33156 ········"1749":·2608,
33154 ········"17492":·2573,33157 ········"17492":·2573,
33155 ········"175":·[2460,·2650],33158 ········"175":·[2460,·2650],
33156 ········"17522":·2566,33159 ········"17522":·2566,
33157 ········"17530":·2580,33160 ········"17530":·2580,
33158 ········"17535":·2569,33161 ········"17535":·2569,
33159 ········"17545176":·1152,33162 ········"17545176":·1152,
33160 ········"17549395":·2485, 
33161 ········"17568":·2566,33163 ········"17568":·2566,
33162 ········"17577":·[2569,·2651],33164 ········"17577":·[2569,·2651],
33163 ········"17580":·2569,33165 ········"17580":·2569,
33164 ········"17582":·2580,33166 ········"17582":·2580,
33165 ········"17586":·2573,33167 ········"17586":·2573,
33166 ········"17596":·2569,33168 ········"17596":·2569,
33167 ········"176":·2460,33169 ········"176":·2460,
Offset 33354, 15 lines modifiedOffset 33356, 15 lines modified
33354 ········"19478":·2580,33356 ········"19478":·2580,
33355 ········"19479":·2580,33357 ········"19479":·2580,
33356 ········"1948":·2609,33358 ········"1948":·2609,
33357 ········"19495":·2574,33359 ········"19495":·2574,
33358 ········"19496":·2574,33360 ········"19496":·2574,
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