| 123456789101112131415161718192021222324252627282930313233343536373839404142 |
- import sqlite3
- import numpy as np
- temp_limit = (760, 870)
- conn = sqlite3.connect("steel_production_data1.db")
- cursor = conn.cursor()
- cursor.execute("select tail_steel_length_laser, tail_steel_length_thermal, fixed_length from production_data")
- length_list = cursor.fetchall()
- conn.close()
- standard = 832
- solved_list = []
- last_length = length_list[0][0]
- for i, j, k in length_list:
- if i == last_length:
- continue
- last_length = i
- if k < 10000:
- continue
- i *= 10
- if (j == temp_limit[0] and i < j) or (j == temp_limit[1] and i > j):
- solved_list.append(i)
- elif abs(i-j) < 10:
- solved_list.append(i)
- else:
- solved_list.append(j)
- diff = [i-standard for i in solved_list]
- variance = np.mean([i**2 for i in diff])
- sd = np.sqrt(variance)
- print('统计结果:')
- print('差值平均:', np.mean(diff))
- print('最大差值:', max([abs(i) for i in diff]))
- print('最小差值:', min([abs(i) for i in diff]))
- print('\n标 准 差:', np.std(solved_list))
- print('方 差:', np.var(solved_list))
- print('标准差(基于设定尾钢长度):', sd)
- print('方 差(基于设定尾钢长度):', variance)
|