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A=[]
B=[]
C=[]
with open('Marine_Fish_Data.csv') as f:
  k=0
  for line in f:
    x, y, z, t, a, b, p, c, q=line.split(',')
    if k==0: k=1; continue
    A.append(float(a))
    B.append(float(b))
    C.append(float(c))
min_A=min(A)
max_A=max(A)
s_a=0
for el in A:
  s_a+=el
l_a=len(A)
Srednee_A=s_a/l_a
A.sort() 
 
if l_a % 2 == 0: 
    median1_A = A[l_a//2] 
    median2_A = A[l_a//2 - 1] 
    median_A = (median1_A + median2_A)/2
else: 
    median_A = A[l_a//2] 
moda_A = (max(A, key=A.count)) #����
E = A
for i in range(len(E)):
    E[i] -= Srednee_A
    E[i] = E[i]**2
disp_A = sum(E) / len(E) # ���������

std_A = ((disp_A * len(E)) ** .5) / len(E) # ����������� ����������
min_B=min(B)
max_B=max(B)
s_b=0
for el in B:
  s_b+=el
l_b=len(B)
Srednee_B=s_b/l_b
B.sort() 
 
if l_b % 2 == 0: 
    median1_B = B[l_b//2] 
    median2_B = B[l_b//2 - 1] 
    median_B = (median1_B + median2_B)/2
else: 
    median_B = B[l_b//2] 
moda_B = (max(B, key=B.count)) #����
E = B
for i in range(len(B)):
    E[i] -= Srednee_B
    E[i] = E[i]**2
disp_B = sum(E) / len(E) # ���������

std_B = ((disp_B * len(E)) ** .5) / len(E) # ����������� ����������
min_C=min(C)
max_C=max(C)
s_c=0
for el in C:
  s_c+=el
l_c=len(C)
Srednee_C=s_c/l_c
C.sort() 
 
if l_c % 2 == 0: 
    median1_C = C[l_c//2] 
    median2_C = C[l_c//2 - 1] 
    median_C = (median1_C + median2_C)/2
else: 
    median_C = C[l_c//2] 
moda_C = (max(C, key=C.count)) #����
E = C
for i in range(len(E)):
    E[i] -= Srednee_C
    E[i] = E[i]**2
disp_C = sum(E) / len(E) # ���������

std_C = ((disp_C * len(E)) ** .5) / len(E) # ����������� ����������
print (min_A, max_A, Srednee_A, l_a, median_A, moda_A, disp_A, std_A)
print (min_B, max_B, Srednee_B, l_b, median_B, moda_B, disp_B, std_B)
print (min_C, max_C, Srednee_C, l_c, median_C, moda_C, disp_C, std_C)
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Marine_Fish_Data.csv
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