simpleStatistics is a lightweight statistics library written in pure python.
NOTE: This code is still in active development use at your own risk.
The goal of this project is to provide the python community with a simple statistics library compatible with python 2.7 and 3.4+. The scope of this project is that the module should handle the statistical formulas and tests typically found in a semester long undergraduate research statistics course. simpleStatistics is intended to have a very low learning curve for people with a rudimentary understanding of statistics so they can solve problems in code more quickly.
Examples: import simpleStatistics
test_data = [1, 2, 3, 3, 3, 4]
descriptive_statistics = simpleStatistics.DescriptiveStatistics() inferentialStatistics = simpleStatistics.InferentialStatistics()
summarised_data = descriptive_statistics.summarise_descriptive_statistics(test_data)
z_score_of_max = inferentialStatistics.z_score_calculate(summarised_data["maximum"], summarised_data["mean"], summarised_data["standard_deviation"]) score_at_z_3 = inferentialStatistics.score_value_from_z_score(summarised_data["mean"], summarised_data["standard_deviation"], z_score=3.0)
print(summarised_data) print(z_score_of_max) print(score_at_z_3)
Above command results {'min': 1, 'max': 4, 'median': 3.0, 'number': 6, 'range': 3, 'mode': 3, 'standard_deviation': 1.032, 'mean': 2.66}
1.29
5.76