SpaceLenore /
matmod-python-exercises
| Total Complexity | 5 |
| Total Lines | 42 |
| Duplicated Lines | 0 % |
| Coverage | 100% |
| Changes | 0 | ||
| 1 | #!/usr/bin/env python3 |
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| 2 | 1 | """ |
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| 3 | Matmod exercise 01 |
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| 4 | |||
| 5 | ported to python by https://github.com/SpaceLenore |
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| 6 | """ |
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| 7 | 1 | import math |
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| 8 | |||
| 9 | 1 | def mean(numbers): |
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| 10 | """ |
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| 11 | Calculate the mean of an array of numbers |
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| 12 | """ |
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| 13 | 1 | sumOfNumbers = 0 |
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| 14 | 1 | for number in numbers: |
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| 15 | 1 | sumOfNumbers += number |
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| 16 | 1 | res = sumOfNumbers / len(numbers) |
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| 17 | 1 | return round(res, 2) |
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| 18 | |||
| 19 | 1 | def variance(numbers): |
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| 20 | """ |
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| 21 | Calculate the sample variance of an array of numbers |
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| 22 | """ |
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| 23 | 1 | xMean = mean(numbers) |
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| 24 | 1 | totalSum = 0 |
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| 25 | |||
| 26 | 1 | for x in numbers: |
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| 27 | 1 | tmp = (x - xMean)**2 |
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| 28 | 1 | totalSum += tmp |
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| 29 | |||
| 30 | 1 | final = totalSum / (len(numbers) - 1) |
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| 31 | |||
| 32 | |||
| 33 | 1 | return round(final, 2) |
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| 34 | |||
| 35 | |||
| 36 | 1 | def stddev(numbers): |
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| 37 | """ |
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| 38 | Calculate the sample standard deviation of an array of numbers |
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| 39 | """ |
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| 40 | |||
| 41 | return round(math.sqrt(variance(numbers)), 2) |
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| 42 |
