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

Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow ebook
Publisher: O'Reilly Media, Incorporated
Page: 250
ISBN: 9781491922873
Format: pdf

Import numpy as np import pandas as pd import scipy.stats as st A = data[data['x1' ]=='A']['x2'] Elegant numpy array shifting and NaN filling? Slactrac depends on NumPy and SciPy to manipulate data. Scipy.ndimage provides a suitable function, generic_filter . Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Start and manage Xgrid jobs quickly using Python's elegant syntax. Val Kalatsky Is there an >> elegant numpy way to do that? Is there a more elegant or efficient way? Wolfgang Is there an elegant numpy way to do that? ~@jnuneziglesias @hdashnow & I are writing a book: Elegant Scipy. Use Xgrid from within Python scripts as well as in interactive Python sessions. Library lets you seamlessly read microscopy images into numpy arrays from 2015 debrief · Call for code nominations for Elegant SciPy! Over the past few weeks, I've been heavily promoting the SciPy conference, a meeting about Call for code nominations for Elegant SciPy! He chose the former, and produced extremely elegant code. OF THE 14th PYTHON IN SCIENCE CONF. [Numpy-discussion] fast access and normalizing of ndarray slices. Ev-br added the scipy.interpolate label on Aug 24 denfromufa referenced this issue in HarrietInc/elegant-scipy-submissions 16 days ago. I think scipy.optimize.brute is what you're after. Since slactrac replicates many features of Elegant, and interface to simulations was derived. >>> from scipy.optimize import brute >>> a,f,g,j = brute(my_func,[param1_list,param2_list,. Previous message: [SciPy-User] Call for code nominations for Elegant SciPy!