93 lines
2.2 KiB
Python
Executable File
93 lines
2.2 KiB
Python
Executable File
# -*- coding:utf-8 -*-
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import csv
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import matplotlib.pyplot as plt
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import pandas as pd
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import numpy as np
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stu = []
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StuListFinal = []
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with open("成绩表.csv", "r", encoding='utf-8') as file:
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reader = csv.reader(file)
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column = [row[-1] for row in reader]
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score = list(column)
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del score[0]
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def display(lb):
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print('总分分别为')
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for i in range(0, len(lb), 5):
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yield lb[i:i + 5]
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def cal():
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print(*display(score), sep="\n")
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print("\n数据计算:")
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total, fangcha, avr = 0, 0, 0
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# 平均分
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for i in range(0, len(score)):
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total += eval(score[i])
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avr = total / 60
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for i in range(0, len(score)):
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fangcha += ((eval(score[i]) - avr) ** 2)
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print("所有学生最高分为{2:.2f}，最低分为{3:.2f}，平均分为{0:.2f}，方差为{1:.2f}".format(avr, fangcha / 60, float(max(score)), float(min(score))))
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#work6-7
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def readcsv():
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f = '成绩表.csv'
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s = pd.read_csv(f, usecols=[3, 4, 5, 6, 7, 8, 9])
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return np.array(s)
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def sorta(cv):
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return cv[-1]
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StuListFinal = readcsv()
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def scoresAbsolute(s, stu1):
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TEStu = []
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for stu2 in range(len(StuListFinal)):
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if stu2 != stu1:
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num = []
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absSum = 0
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num.append(stu2)
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for i in range(len(s[stu1])):
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absSum += abs(s[stu1][i] - s[stu2][i])
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num.append(absSum)
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TEStu.append(num)
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TEStu = sorted(TEStu, key=sorta)
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AbSumLs = []
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sum = 0
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AbSumLs.append(stu1)
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for i in range(9):
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sum += TEStu[i][-1]
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AbSumLs.append(TEStu[i][0])
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AbSumLs.append(sum)
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stu.append(AbSumLs)
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def DrawSD(listtotal):
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plt.style.use('ggplot')
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x = ['Python', 'Computer', 'Math', 'Data', 'C', 'Java', 'CalMethod']
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for i in range(10):
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y = StuListFinal[listtotal[i]]
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print(StuListFinal[listtotal])
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plt.scatter(x, y)
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plt.show()
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def work7():
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Final = []
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for i in range(len(StuListFinal)):
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scoresAbsolute(StuListFinal, i)
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SortedStuList = sorted(stu, key=sorta)
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for j in range(10):
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Final.append(SortedStuList[0][j])
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DrawSD(Final)
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def main():
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work7()
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cal()
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if __name__ == '__main__':
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main()
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