Pre-release
This release is a pre-release and may not be stable for production use.
percstat
percstat is used when you calculate percentage and statistics
Installation:`
Use the package manager [pip]
(https://pip.pypa.io/en/stable/) to install percstat.
` pip install percstat `
Changelogs:
changelogs:
v0.0.0b1~25:beta,not added statistics v0.0.1a1~4:alpha,first release,added statistics edited readme.md
Usage:
` import percstat.percstat as p `
other not means “other”! other means a,b,c,…(For example)
class etc
how to use:
a=p.etc.dicevalue=[1,2,3,4,5,6],change a to other b=p.etc.coinvalue=[0,1],change b to other #class percentage c=p.percentage.Factorial(n) #n is integer, change c to other, returns n*(n-1)*…*2*1 d=p.percentage.nPr(n,r) #n and r is integer, change d to other, returns Factorial(n)/Factorial(n-r) e=p.percentage.nCr(n,r) #n and r is integer, change e to other, returns nPr(n,r)/Factorial(r) f=p.percentage.AnB(A,B) # A and B is list, change f to other, returns intersection of A and B g=p.percentage.Ac(A,S) # A and S is list, change g to other, returns compliment of A in S h=p.percentage.AUB(A,B) # A and B is list, change h to other, returns union of A and B i=p.percentage.AEB(A,B) # A is Element , B is list, change i to other, returns true if A is in B j=p.percentage.AcB(a,b) # A is Element that type is list, B is list, change j to other, returns true if A is in B k=p.percentage.P(A,S) # A is Element, S is list change k to other, returns percentage pf A in S l=p.percentage.P_BlA(A,B,S) # A and B is Element but, B must in A, S is list, change l to other, returns conditional Probability of B in A m_=p.percentage.nPIr(n,r) #n and r is integer, change m_ to other, returns n**r n_=p.percentage.nHr(n,r) # n and r is integer, change n_ to other, returns nCr(n+r-1,r) o=p.percentage.AmB(A,B,S) #A and B is list, change o to other, returns difference of A and B in S(A-B) #class statistics p_=p.statistics.autoconfigure(n,P) #n is integer, P is float (nmore than 0 and less than 1) , change p_ to other,returns list that configured(rule:nCr(n,r)*(P**r)*((1-P)**(n-r))) 0 to n, r is another variable that don’t need to declare. p.statistics.into_graph(li) #li is list(use autoconfigure(n,P)),print graphs with rules. q=p.P_cond(li,cond) # li is list(use autoconfigure(n,P)),cond is string, returns percentage based on cond(condition,ex: “a>8” means select more than 8 in graph and returns sum of these. and you can multiply these conditional sentence with “&” (ex:”a<7&a>9” means select less than 7 and more than 9 in graph and get sum.)),don’t allow like a<x<b or etc. r_=p.statistics.E_X(li) #returns averages of autoconfigured list. s=p.statistics.V_X(li) #returns variations of autoconfigured list. t=p≥statistics.sigma_X(li) #returns square root of V_X(li) u=p.statistics.convert_NXtoNZ(x,m,sigma)# v=p.statistics.configure_N(x,m,sigma) # w=p.statistics.autoconfigure_N(a,b,m,sigma)#returns calculated percentage based on sigma and m(same as E_X(li)) in range a and b (a<=x<=b)
License:
BSD license
free to use even commercial!!
1 maintainer
Metadata
1 maintainer
Release files for percstat 0.0.1a4
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Release files / percstat-0.0.1a4.tar.gz
| Download URL | percstat-0.0.1a4.tar.gz |
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