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

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)). Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! Writing an O'Reilly book about the SciPy library and the surrounding ecosystem . Photo by Ian Rees (from the SciPy 2012 conference website) Clarifications about our book, Elegant SciPy (and our call for code submissions). Val Kalatsky Is there an >> elegant numpy way to do that? Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. This routine returns the indices and the max value. O'Reilly book about the SciPy library > and the surrounding ecosystem. The SciPy ecosystem belongs to everyone Related. [Discuss] [OFF-TOPIC] Call for code nominations for Elegant SciPy! Go to SciPy 2015In " conference" Call for code nominations for Elegant SciPy! [Numpy-discussion] fast access and normalizing of ndarray slices. Continuum is a sponsor of this year's SciPy Conference in Austin, TX. Read Elegant Scipy book reviews & author details and more at Amazon.in. Amazon.in - Buy Elegant Scipy book online at best prices in India on Amazon.in. Is >>> there a more elegant way than what I have implemented below using >>> argmax()?