Elegant SciPy. Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow

Elegant SciPy


Elegant.SciPy.pdf
ISBN: 9781491922873 | 250 pages | 7 Mb


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Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow
Publisher: O'Reilly Media, Incorporated



Slactrac depends on NumPy and SciPy to manipulate data. Wolfgang Is there an elegant numpy way to do that? Since slactrac replicates many features of Elegant, and interface to simulations was derived. Is >>> there a more elegant way than what I have implemented below using >>> argmax()? Assuming you mean to have data1 and data2 as arrays of the same size (which would change your example to read): data2 = np.ones((4, 5)). Elegant Scipy [Juan Nunez-iglesias, Stéfan Van Der Walt, Harriet Dashnow] on Amazon.com. Massive Standard Scipy builds on established LAPACK and. This routine returns the indices and the max value. How can I sort an array in numpy by the nth column? For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). *FREE* shipping on qualifying offers. Previous message: [SciPy-User] Call for code nominations for Elegant SciPy! Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Val Kalatsky Is there an >> elegant numpy way to do that? A = array([[1,2 @ steve's is actually the most elegant way of doing it. [Numpy-discussion] fast access and normalizing of ndarray slices. Is > > there a more elegant way than what I have implemented below using > > argmax()?





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