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Michał Leśniak 2021-11-07 20:39:10 +01:00
parent 40f642966c
commit 74ee1aff4e
1 changed files with 15 additions and 12 deletions
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27
zad1/main.py
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@ -3,7 +3,6 @@ Komputerowa analiza danych
Zadanie 1 Zadanie 1
Michał Leśniak 195642 Michał Leśniak 195642
""" """
import math
import locale import locale
locale.setlocale(locale.LC_ALL, '') locale.setlocale(locale.LC_ALL, '')
@ -26,7 +25,8 @@ def mean(lst):
return sum/len(lst) return sum/len(lst)
def median(lst, is_even): def median(lst):
is_even = len(lst) % 2 == 0
return (lst[len(lst)//2-1]+lst[len(lst)//2])/2 if is_even else lst[len(lst)//2] return (lst[len(lst)//2-1]+lst[len(lst)//2])/2 if is_even else lst[len(lst)//2]
@ -34,25 +34,27 @@ def sample_standard_deviation(lst, lst_mean):
sum = 0 sum = 0
for x in [(y-lst_mean)**2 for y in lst]: for x in [(y-lst_mean)**2 for y in lst]:
sum += x sum += x
return math.sqrt(sum/(len(lst)-1)) return (sum/(len(lst)-1))**0.5
def q1(lst, is_even, lst_median): def q1(lst, lst_median):
idx = len(lst)//2-1 if is_even else len(lst)//2+1 is_even = len(lst) % 2 == 0
idx = len(lst)//2 if is_even else len(lst)//2+1
sorted_list = lst[:idx] sorted_list = lst[:idx]
if is_even: if is_even:
sorted_list.append(lst_median) sorted_list.append(lst_median)
return median(sorted_list, is_even) return median(sorted_list)
#
def q3(lst, is_even, lst_median): def q3(lst, lst_median):
is_even = len(lst) % 2 == 0
idx = len(lst)//2+1 if is_even else len(lst)//2 idx = len(lst)//2+1 if is_even else len(lst)//2
sorted_list = lst[idx:] sorted_list = lst[idx:]
if is_even: if is_even:
sorted_list.insert(0, lst_median) sorted_list.insert(0, lst_median)
return median(sorted_list, is_even) return median(sorted_list)
def min(lst): def min(lst):
@ -64,10 +66,10 @@ def max(lst):
def calc_data(lst): def calc_data(lst):
is_even = len(lst) % 2 == 0
lst_mean = mean(lst) lst_mean = mean(lst)
lst_median = median(lst, is_even) lst_median = median(lst)
return min(lst), lst_mean, sample_standard_deviation(lst, lst_mean), lst_median, q1(lst, is_even, lst_median), q3(lst, is_even, lst_median), max(lst) return min(lst), lst_mean, sample_standard_deviation(lst, lst_mean), lst_median, \
q1(lst, lst_median), q3(lst, lst_median), max(lst)
def calc_species_data(species): def calc_species_data(species):
@ -184,6 +186,7 @@ def main():
petal_width_list.append(float(petal_width)) petal_width_list.append(float(petal_width))
species_dict[species] += 1 species_dict[species] += 1
sepal_length_list.sort() sepal_length_list.sort()
sepal_width_list.sort() sepal_width_list.sort()
petal_length_list.sort() petal_length_list.sort()