Python实现学生成绩分析
"""
实现生成12个月份10名同学成绩的随机数
"""
import random
from openpyxl import Workbook
#新建空表
#写二月份到十二月份数据
filenum = 12 #文件数
head = ["姓名","语文","数学","英语","地理","生物","物理","化学"]
name = []
grad = []
all_name = []
nber = 11 #人数
p = 1
xing = ['赵', '钱', '孙', '李', '周', '吴', '郑', '王', '冯', '陈', '褚', '卫', '蒋', '沈', '韩', '杨']
ming = ['明','刚','红','越','芳','花','颖','鹏','柯','心','航','睿']
#把名字写入文件
def writename(number):
for i in range(1,number):
name = xing[random.randint(0,len(xing)-1)]+ming[random.randint(0,len(ming)-1)]
#ws.cell(row=i+1,column=1).value = name
all_name.append(name)
return all_name
#把分数写入文件
def writescore(number):
for i in range(1,number):
for j in range(2,len(head)+1):
grad = random.randint(int(random.gauss(65,6)),100)
ws.cell(row=i+1,column=j).value = int(grad)
#存储数据，写入文件
def savedata(sheet,lsts):
for i in range(1,len(lsts)+1):
ws.cell(row=i+1,column=1).value = lsts[i-1]
#批量写文件
for i in range(1,filenum+1):
wb = Workbook()
ws = wb.active
#生成表名和表头
ws.title = str(i)+"月份成绩"
ws.append(head)
if p == 1:
wname = writename(nber)
p = 0
print(wname)
savedata(ws,wname)
writescore(nber)
wb.save("./crtdata/"+str(i)+"月份成绩表.xlsx")
#获取输入字符串所在行的数据
from openpyxl import Workbook
from openpyxl import load_workbook
import numpy as np
import os
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
filepath = "/Users/hangyang/Documents/python_work/crtdata/"
dirs = os.listdir(filepath)
filepath1 = "/Users/hangyang/Documents/python_work/学生情况1/"
filepath2 = "/Users/hangyang/Documents/python_work/学生情况2/"
filepath3 = "/Users/hangyang/Documents/python_work/学生成绩/"
head = ["姓名","语文","数学","英语","地理","生物","物理","化学"]
pie_head = ["语文","数学","英语","地理","生物","物理","化学"]
pie_month = ["1月份","2月份","3月份","4月份","5月份","6月份","7月份","8月份","9月份","10月份","11月份","12月份"]
#获取相同信息所在行数据
def getsameinfo(sheet,st1,rows,cols):
lst = []
for i in range(1,rows+1):
for j in range(1,cols+1):
if str(sheet.cell(row=i,column=j).value) == st1:
for k in range(j,cols+1):
cel = sheet.cell(row=i,column=k).value
lst.append(cel)
return lst
#获取相同信息所在列数据
def getsamecolumninfo(sheet,st1,rows,cols):
lst = []
for i in range(1,rows+1):
for j in range(1,cols+1):
if str(sheet.cell(row=i,column=j).value) == st1:
for k in range(i+1,rows+1):
cel = sheet.cell(row=k,column=j).value
lst.append(cel)
return lst
#存储数据，写入文件
def writedata(sheet,lsts,tmp):
for data in lsts:
for j in range(1,len(data)+1):
sheet.cell(row=tmp,column=j).value = data[j-1]
tmp=tmp+1
return tmp
#获取人名
def getstudentname(path,dir):
wkbk = load_workbook(path+dir[0])
wkst = wkbk.active
rows = wkst.max_row
cols = wkst.max_column
student = getsamecolumninfo(wkst,"姓名",rows,cols)
return student
#打开Excel文件,获取相同信息并保存
def deal2save_Excel(filepath,dirs,info):
lst2 = []
for d in dirs:
if d.split(".")[1] in ["xlsx","xls"]:
wb1 = load_workbook(filepath+d)
ws1 = wb1.active
rows = ws1.max_row
cols = ws1.max_column
lst1 = getsameinfo(ws1,info,rows,cols)
lst2.insert(1,lst1)
elif d in ["DS_Store"]:
os.remove("DS_Store")
return lst2
#根据人名创建sheet存储分类后的数据
def classifyasname_single(path,dirs,stu):
#按学生名新建sheet
wb = Workbook()
ws = wb.active
ws.append(head)
#按学生名新建多个空sheet
for name in stu:
wb.create_sheet(name)
wb.remove(wb['Sheet'])
#把学生数据写入sheet
ID = 0
tmp = 2
for i in wb.sheetnames:
ws = wb[i]
ws.append(head)
lst = deal2save_Excel(path,dirs,stu[ID])
ID = ID+1
#print("[classifyasname_single函数]:\n",lst)
tmp = writedata(ws,lst,tmp)
tmp = 2
ws.delete_cols(idx=1,amount=1)
ws.insert_cols(idx=1,amount=1)
for h in range(1,ws.max_row):
ws.cell(h+1,1).value = str(h)+"月"
ws.cell(1,1).value = "月份"
wb.save("./学生情况2/"+"学生情况.xlsx")
wb.close()
#保存数据到Excel表的a行b列
def writesingleval(sheet,val,a,b):
sheet.cell(row=a,column=b).value = val
#求单科平均分
def getavgscore(wb,ws):
rows = ws.max_row
cols = ws.max_column
l_cols = list(np.arange(2,cols+1,1))
x = 0
for col in ws.iter_cols(min_row=2,min_col=2):
for v in col:
column_data = [v.value for v in col]
avg = int(np.average(column_data))
writesingleval(ws,avg,rows+1,l_cols[x])
x = x+1
#print("[countingscore函数求平均分]：\n",column_data,avg,l_cols[x-1])
#求每月总成绩
def getsumscore(wb,ws):
rows = ws.max_row
cols = ws.max_column
l_rows = list(np.arange(2,rows+1,1))
x = 0
for row in ws.iter_rows(min_row=2,min_col=2):
for v in row:
row_data = [v.value for v in row]
fsum = int(np.sum(row_data))
writesingleval(ws,fsum,l_rows[x],cols+1)
x = x+1
#print(column_data,avg,l_cols[x-1])
#一个文件多个sheet计算平均分及总分
def countingscore_single():
dirs2 = os.listdir(filepath2)
for d in dirs2:
if d.split(".")[1] in ["xlsx","xls"]:
wb = load_workbook(filepath2+d)
ws = wb.active
ws.cell(1,1).value = "月份"
for i in wb.sheetnames:
ws = wb[i]
print(ws)
getavgscore(wb,ws)
getsumscore(wb,ws)
ws.cell(row=ws.max_row,column=1).value = "平均分"
ws.cell(row=1,column=ws.max_column).value = "月考总分"
wb.save("./学生成绩/学生成绩总表.xlsx")
wb.close()
elif d in [".DS_Store"]:
print("loading... ",d.split(".")[1] in ["xlsx","xls"])
os.remove("./学生情况2/.DS_Store")
#读取键盘输入
#画图
def studentcase_plot(name,course):
print ("下面显示"+name+"所学科目"+course+"成绩的年变化曲线 〉〉〉")
wb = load_workbook(filepath2+"学生情况.xlsx")
ws = wb.active
for i in wb.sheetnames:
if i.split(".")[0] == name:
ws = wb[i]
rows = ws.max_row
cols = ws.max_column
m_score = getsamecolumninfo(ws,course,rows,cols)
m_time = getsamecolumninfo(ws,"月份",rows,cols)
print(name)
print(m_score)
print(m_time)
plt.title(name+course+"成绩年变化曲线",fontsize=24)
plt.xlabel("月份",fontsize=14)
plt.ylabel("分数",fontsize=14)
plt.tick_params(axis='both',labelsize=14)
plt.bar(m_time,m_score)
plt.savefig(name+course+"成绩.jpg")
plt.show()
plt.close()
wb.close()
def classcase_plot(course):
print ("下面显示所有学生"+course+"年变化曲线 〉〉〉")
wb = load_workbook(filepath2+"学生情况.xlsx")
ws = wb.active
for i in wb.sheetnames:
ws = wb[i]
rows = ws.max_row
cols = ws.max_column
m_score = getsamecolumninfo(ws,course,rows,cols)
m_time = getsamecolumninfo(ws,"月份",rows,cols)
plt.title("全班"+course+"成绩年变化图",fontsize=24)
plt.xlabel("月份",fontsize=14)
plt.ylabel("分数",fontsize=14)
y_ticks = np.arange(-10,110,5)
plt.yticks(y_ticks)
plt.scatter(m_time,m_score)
#plt.plot(m_time,m_score)
print(ws)
wb.close()
plt.savefig(course+"班级成绩.jpg")
plt.show()
plt.close()
def monthly_score(monthly):
wb = load_workbook(filepath+monthly+"成绩表.xlsx")
ws = wb.active
rows = ws.max_row
cols = ws.max_column
lst = []
getavgscore(wb,ws)
ws.cell(row=ws.max_row,column=1).value = "平均分"
for i in range(2,cols+1):
cel = ws.cell(row=ws.max_row,column=i).value
lst.append(cel)
dic = dict(zip(pie_head,lst))
print(dic)
dic_course = [key for key in dic]
dic_averge = [value for value in dic.values()]
plt.pie(dic_averge, labels=dic_course, autopct="%1.2f%%")
plt.title(monthly+"各科成绩平均分占比", fontsize=24)
plt.savefig(monthly+"各科成绩平均分占比.jpg")
plt.show()
wb.close()
def plotpicture(student_name,course_name):
print("输出学生科目成绩...")
studentcase_plot(student_name,course_name)
print("输出班级科目成绩...")
classcase_plot(course_name)
print("输出月考总分...")
monthly_score("1月份")
def countrate(month,course):
wb = load_workbook(filepath+month+"成绩表.xlsx")
ws = wb.active
rows = ws.max_row
cols = ws.max_column
lst = getsamecolumninfo(ws,course,rows,cols)
passnum = 0
excellencenum = 0
for j in lst:
if j >= 60:
passnum = passnum+1
if j >= 90:
excellencenum = excellencenum+1
passrate = passnum/(rows-1)*100
excellencerate = excellencenum/(rows-1)*100
passnum = 0
excellencenum = 0
#print("passrate is:",passrate,"%")
#print("excellencenum is:",excellencerate,"%")
return [passrate,excellencerate]
def writeinfotodoc(month,course,sname):
from docx import Document
from docx.shared import Inches
document = Document()
document.add_heading('2022年度成绩分析',0)
document.add_heading('一、全班整体情况分析')
paragraph = document.add_paragraph('我校初三四班共有学生10人，本年度共进行12次月考，整体情况如下：')
paragraph = document.add_paragraph()
guide = paragraph.add_run("1、全班各科成绩年变化图")
guide.style = 'Strong'
paragraph = document.add_paragraph("显示了全班所有同学所有科目全年的分布图像，可以看出同学成绩主要集中分布的范围。")
print("输出班级科目成绩...")
classcase_plot(course)
pic_shape = document.add_picture(course+'班级成绩.jpg',width=Inches(5.5))
print("班级科目成绩输出完毕！！！")
print("输出月考总分...")
paragraph = document.add_paragraph()
guide = paragraph.add_run("2、月考总分各科占比")
guide.style = 'Strong'
paragraph = document.add_paragraph("显示了各科在月考总分中所占比重，可以看出班级的优势和薄弱科目。")
print("输出"+month+"各科分数占比...")
monthly_score(month)
pic_shape = document.add_picture(month+'各科成绩平均分占比.jpg',width=Inches(5.5))
print("各科分数占比输出完毕！！！")
passrate_lst = []
excellentrate_lst = []
paragraph = document.add_paragraph()
guide = paragraph.add_run("3、"+month+"各科成绩及格率及优秀率情况")
guide.style = 'Strong'
for cs in pie_head:
value1 = float(countrate(month,cs)[0])
passrate_lst.append(value1)
value2 = float(countrate(month,cs)[1])
excellentrate_lst.append(value2)
paragraph = document.add_paragraph(str(cs)+'及格率(成绩大于60分):'+str(value1)+'%'+' '+'优秀率(成绩大于90分):'+str(value2)+'%')
document.add_heading('二、学生个人情况分析')
paragraph = document.add_paragraph("以下为"+sname+"同学各科成绩年度统计数据")
print("输出"+sname+"同学科目成绩...")
for cs in pie_head:
studentcase_plot(sname,cs)
pic_shape = document.add_picture(sname+cs+'成绩.jpg',width=Inches(5.5))
print("学生科目成绩输出完毕！！！")
#导出Excel中的数据到word
document.save("班级2022年度成绩分析报告.docx")
#主程序
stu = getstudentname(filepath,dirs)
print("create an excel file...saved in multi-sheet")
classifyasname_single(filepath,dirs,stu)
print("begin counting score...status is ok")
countingscore_single()
#writeinfotodoc("1月份")
print("===========画图===========")
student_name = input("请输入待查询学生姓名：\n");
print ("你输入的内容是: ",student_name)
course_name = input("请输入待查询科目名称：\n");
print ("你输入的内容是: ",course_name)
month_value = input("请输入待查询月份，例如（1月份）：\n");
print ("你输入的内容是: ",month_value)
#plotpicture(student_name,course_name)
writeinfotodoc(month_value,course_name,student_name)