python equivalent of R sample function
lstDemand = [0, 1000, 2000, 3000, 4000, 5000, 6000]
lstProbability = [.02, .03, .05, .08, .33, .29, .20]
# Python Equivalent of R sample() function
numpy.random.choice(lstDemand, size=1000, replace=True, p=lstProbability)
# lstDemand = the values or options
# size = how many values the output list should have (None = 1)
# replace = sampling with or without replacement
# p = the probability of choosing each corresponding value in lstDemand%in% in R
1:2 %in% rep(1:2,5)
#[1] TRUE TRUE
rep(1:2,5) %in% 1:2
#[1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#Note this output is longer in secondCopyright © 2021 Codeinu
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