#!/usr/bin/env python
# -*- coding:utf-8 -*-
# <editable>
def execute():
# <editable>
'''
載入子產品
'''
from scipy.stats import chisquare
import pandas as pd
from sqlalchemy import create_engine
'''
連接配接資料庫
'''
engine = create_engine('mysql+pymysql://root:[email protected]:3306/analysis')
'''
選擇目标資料
'''
params = {
"sequence": "SUNACTIVITY",
"n_components": 1,
"max_iter": 1000, # default=1000
}
inputs = {"table": '純随機性檢驗'}
data_sql = 'select ' + params['sequence'] + ' from ' + inputs['table']
data_in = pd.read_sql_query(data_sql, engine)
print(data_in)
'''
卡方檢驗
'''
sequence = data_in[params['sequence']]
p = chisquare(sequence)[1]
data_out = ''
if (p < 0.05):
data_out += '卡方檢驗結果\n'
data_out += "p值為:" + str(p) + ",可以證明檢驗結果顯著\n"
else:
data_out += '卡方檢驗結果\n'
data_out += "p值為:" + str(p) + ",無充分證據證明檢驗結果顯著\n"
'''
生成報告
'''
print(data_out)
'''
資料示例
SUNACTIVITY
0 5.0
1 11.0
2 16.0
3 23.0
4 36.0
5 40.4
6 29.8
7 15.2
8 7.5
9 2.9
10 83.4
11 47.7
12 47.8
13 30.7
14 12.2
15 40.4
16 29.8
17 15.2
18 7.5
19 2.9
20 12.6
卡方檢驗結果
p值為:4.588067761138235e-56,可以證明檢驗結果顯著
'''
# </editable>
if __name__ == '__main__':
execute()
作者:沐禹辰
出處:http://www.cnblogs.com/renfanzi/
本文版權歸作者和部落格園共有,歡迎轉載,但未經作者同意必須保留此段聲明,且在文章頁面明顯位置給出原文連接配接。