Muti-list merge in Python

from heapq import heappush, heappop

alist = []

l = [('A',1),('B',2),('F',6)]
alist.append(l)

l = [('C',3),('D',4),('H',8)]
alist.append(l)

l = [('E',5),('G',7)]
alist.append(l)

#print alist


heap = []

index = 0
for lst in alist:
    if lst:
        item = lst.pop(0);
        heappush(heap, (item, index))
    index = index + 1
   
while heap:
    ituple =  heappop(heap)
    item = ituple[0]
    index = ituple[1]
    lst = alist[index]
    if lst:
        newitem = lst.pop(0)
        heappush(heap, (newitem, index))

    print item
   

Matlab statistical commands

x, y n=length(x) mean(x) std(x) hist(x,7) prctile(x,5) stairs(sort(x),(1:n)/n) normplot(x) qqplot(x,y) median(x) trimmean(x) iqr(x) median(abs(x-median(x))) x(random('unid',n,n,1000)) regress(y,[ones(n,1),x])

two data columns sample size sample mean sample standard deviation histogram with 7 bins 5% sample quantile empirical cdf normal probability plot QQ-plot median 10% trimmed mean interquartile range MAD 1000 samples resampled from x regression line y=a+bx

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Chi-square test of homogeneity and independence:

x=contingency table;
e=sum(x')'*sum(x)/sum(sum(x));
X2=(x-e).^2./e
X2=sum(sum(X2))
df=prod(size(x)-[1,1])
P=1-chi2cdf(X2,df)

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More statistical commands:

matlab -> helpwin -> toolbox/stats ->

• probability density functions
• cumulative distribution functions
• critical values of distribution functions
• random number generators
• descriptive statistics
• linear models
• statistical plotting

Source: http://www.math.chalmers.se/Stat/Grundutb/CTH/mve155/0708/matlab.html