mblondel

# Mathieu Blondel, February 2012
# License: BSD 3 clause

# Port to Python of examples in chapter 5 of
# "Introductory Statistics with R" by Peter Dalgaard

import numpy as np
from scipy.stats import ttest_1samp, wilcoxon, ttest_ind, mannwhitneyu

# daily intake of energy in kJ for 11 women

bombless

def RGB2YUV(input):
  (R, G, B) = input
	Y = int(0.299 * R + 0.587 * G + 0.114 * B)
	U = int(-0.147 * R + -0.289 * G + 0.436 * B)
	V = int(0.615 * R + -0.515 * G + -0.100 * B)
	
	return (Y, U, V)

def YUV2RGB(input):
	(Y, U, V) = input

gazzar

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satra

from scipy.spatial.distance import pdist, squareform
import numpy as np

from numbapro import jit, float32

def distcorr(X, Y):
    """ Compute the distance correlation function
    
    >>> a = [1,2,3,4,5]
    >>> b = np.array([1,2,9,4,4])

om-henners

joefutrelle

import numpy as np
from scipy import ndimage as ndi

# lookup tables for bwmorph_thin

G123_LUT = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1,
       0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0,
       1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,

Carreau

joferkington

import numpy as np                  
from scipy.interpolate import Rbf   
import matplotlib.pyplot as plt     
from matplotlib.colors import LinearSegmentedColormap
from mpl_toolkits.axes_grid1 import inset_locator    
from matplotlib.projections.polar import PolarAxes   
np.random.seed(1977)                                 

def main():
    x, y, z = generate_surface()

kwinkunks