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								zad1/main.py
									
									
									
									
									
								
							| @@ -3,7 +3,6 @@ Komputerowa analiza danych | ||||
| Zadanie 1 | ||||
| Michał Leśniak 195642 | ||||
| """ | ||||
| import math | ||||
| import locale | ||||
| locale.setlocale(locale.LC_ALL, '') | ||||
|  | ||||
| @@ -26,7 +25,8 @@ def mean(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] | ||||
|  | ||||
|  | ||||
| @@ -34,25 +34,27 @@ def sample_standard_deviation(lst, lst_mean): | ||||
|     sum = 0 | ||||
|     for x in [(y-lst_mean)**2 for y in lst]: | ||||
|         sum += x | ||||
|     return math.sqrt(sum/(len(lst)-1)) | ||||
|     return (sum/(len(lst)-1))**0.5 | ||||
|  | ||||
|  | ||||
| def q1(lst, is_even, lst_median): | ||||
|     idx = len(lst)//2-1 if is_even else len(lst)//2+1 | ||||
| def q1(lst, lst_median): | ||||
|     is_even = len(lst) % 2 == 0 | ||||
|     idx = len(lst)//2 if is_even else len(lst)//2+1 | ||||
|     sorted_list = lst[:idx] | ||||
|     if is_even: | ||||
|         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 | ||||
|     sorted_list = lst[idx:] | ||||
|     if is_even: | ||||
|         sorted_list.insert(0, lst_median) | ||||
|  | ||||
|     return median(sorted_list, is_even) | ||||
|     return median(sorted_list) | ||||
|  | ||||
|  | ||||
| def min(lst): | ||||
| @@ -64,10 +66,10 @@ def max(lst): | ||||
|  | ||||
|  | ||||
| def calc_data(lst): | ||||
|     is_even = len(lst) % 2 == 0 | ||||
|     lst_mean = mean(lst) | ||||
|     lst_median = median(lst, is_even) | ||||
|     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) | ||||
|     lst_median = median(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): | ||||
| @@ -184,6 +186,7 @@ def main(): | ||||
|         petal_width_list.append(float(petal_width)) | ||||
|         species_dict[species] += 1 | ||||
|  | ||||
|  | ||||
|     sepal_length_list.sort() | ||||
|     sepal_width_list.sort() | ||||
|     petal_length_list.sort() | ||||
|   | ||||
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