my_statistics.py

def mean(ls):
    avg=0
    sum0=0
    counter=0
    for i in ls:
        sum0+=i
        counter+=1
    avg=sum0/counter
    return avg

def median(ls):
    ls.sort()
    if (len(ls)%2==0):
        Median=(ls[int(len(ls)/2)-1]+ls[int((len(ls)/2))])/2
    else:
        Median=ls[int((len(ls))/2)]
    return Median

def geometric_mean(ls):
    multi=1
    counter=0
    for i in ls:
        if(i<0):
            return "the list contains negative values"
        i=abs(i)
        multi*=i
        counter+=1
    Geometric_mean=(multi)**(1/counter)
    return Geometric_mean

def percentile(ls,ls1): #האחוזונים יחולקו לפי 25,50,75,100
    N=0
    n=0
    ls.sort()
    for i in ls:
        N+=1
        if(i!=ls1):
            n+=1
        else:
            c=n
    if(n==N):
        return "the value entered is not in the list"
    if(0.25*N-int(0.25*N)>0):
        n25th=int(0.25*N+1)
    else:
        n25th=0.25*N
    if(0.5*N-int(0.5*N)>0):
        n50th=int(0.5*N+1)
    else:
        n50th=int(0.5*N)
    if(0.75*N-int(0.75*N)>0):
        n75th=int(0.75*N+1)
    else:
        n75th=0.75*N
    n100th=N
    if(c<=n25th):
        return "in the 25th percentile"
    else:
        if(c<=n50th):
            return "in the 50th percentile"
        else:
            if(c<=n75th):
                return "in the 75th percentile"
            else:
                return "in the 100th percentile"

def data_range(ls):
    ls.sort()
    R=max(ls)-min(ls)
    return R

def variance(ls):
    m=len(ls)
    sum1=0
    for i in ls:
        sum1+=(i-mean(ls))**2
    var=sum1/m
    std=(var)**(0.5)
    return var

def std(ls):
    m=len(ls)
    sum1=0
    for i in ls:
        sum1+=(i-mean(ls))**2
    var=sum1/m
    std=(var)**(0.5)
    return std

def Frequency_Tables(ls):
    count = 0
    FreqTable = {}
    for x in ls:
        for i in ls:
            if i == x:
                count+=1
        if x!=ls[0]:
            count=count-1
        dic = {x:count}
        FreqTable.update(dic)
        count=1
    return FreqTable