32 KiB
32 KiB
In [ ]:
import openpyxl
import json
wb = openpyxl.load_workbook('data/xizang.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}
for n in range(2, sheet.max_row+1):
if sheet.cell(n,1).value is not None:
code = int(sheet.cell(n, 5).value)
person.setdefault(code, {})
dict1 = {}
dict1['name'] = sheet.cell(n, 1).value
if sheet.cell(n, 2).value ==0:
sex = '男'
else:
sex = '女'
dict1['sex'] = sex
birth = str(sheet.cell(n, 3).value).split()[0]
dict1['birth'] = birth
if sheet.cell(n,5).value is not None:
dict1['phone'] = str(sheet.cell(n, 4).value)
person[code] = dict1
filename = 'data/西藏人员.json'
with open(filename, 'w') as fl:
json.dump(person, fl, ensure_ascii=False)
print('ok')In [ ]:
import os,sys,shutil
import json
import math
import glob
from pathlib import Path
fi_path = 'file/2023-06-07'
old = []
dict2 = {}
filename = 'data/西藏人员.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k, v in dict1.items():
m_name = v['name']
dict2[int(k)] = [m_name]
fls = glob.glob(f'{fi_path}/*.pdf')
for fn in fls:
old.append(os.path.basename(fn).split('.')[0])
for n in old:
o_name = f'{fi_path}/{n}.pdf'
new_path = Path(fi_path,'new')
new_path.mkdir(parents = True, exist_ok = True)
n_name = Path(new_path,f'{str(n).rjust(5,"0")}-{dict2[int(n)][0]}.pdf')
if not os.path.exists(n_name):
shutil.copyfile(o_name,n_name)
print(n_name)
print('ok')In [ ]:
import openpyxl
import json
import datetime
wb = openpyxl.load_workbook('data/西藏健康体质检测人员名单.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}
for n in range(2, sheet.max_row+1):
if sheet.cell(n,7).value is not None and sheet.cell(n,4).value is not None:
bh = int(sheet.cell(n, 7).value)
person.setdefault(bh, {})
dict1 = {}
dict1['name'] = sheet.cell(n, 2).value
dict1['code'] = sheet.cell(n, 1).value
if sheet.cell(n, 3).value ==1:
sex = '男'
else:
sex = '女'
dict1['sex'] = sex
birth = str(sheet.cell(n, 4).value).split()[0]
if len(birth) == 2:
dict1['age'] = int(birth)
else:
birth.replace('/','-')
birth = birth.split('-')
nian = int(birth[0].strip())
yue = int(birth[1].strip())
ri = int(birth[2].strip())
#print(k,nian,yue,ri)
days = (datetime.date(2023, 5, 31)-datetime.date(nian,yue,ri)).days
dict1['age'] = round(days/365)
if sheet.cell(n,5).value is not None:
dict1['phone'] = str(sheet.cell(n, 5).value)
person[bh] = dict1
filename = 'data/西藏手工问卷人员名单.json'
with open(filename, 'w') as fl:
json.dump(person, fl, ensure_ascii=False)
print('ok')In [ ]:
import openpyxl
import json
wb = openpyxl.load_workbook('data/西藏手工记录.xlsx')
sheet = wb['Sheet1']
dict1 = {}
data1 =list(sheet.values)
list_bh = data1[0][1:]
del data1[0]
for i in range(1,len(list_bh)+1):
list2 = []
dict1.setdefault(int(list_bh[i-1]),{})
for item in data1:
list2.append(item[i])
dict1[int(list_bh[i-1])]['wenjuan'] = list2
print(dict1)
filename = 'data/西藏脊柱问卷原始信息.json'
with open(filename, 'w') as fl:
json.dump(dict1, fl, ensure_ascii=False)
print('ok')In [ ]:
import openpyxl
import json
wb = openpyxl.load_workbook('data/西藏手工记录.xlsx')
sheet = wb['Sheet2']
filename = 'data/西藏脊柱问卷原始信息.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
data1 =list(sheet.values)
for item in data1:
bh = str(item[0])
dict1.setdefault(bh,{})
xm = item[1]
result = item[2]
dict1[bh][xm] = result
filename = 'data/西藏脊柱问卷原始信息.json'
with open(filename, 'w') as fl:
json.dump(dict1, fl, ensure_ascii=False)
print('ok')In [ ]:
import json
filename = 'data/西藏手工问卷人员名单.json'
with open(filename,'r') as fl:
dict2 = json.load(fl)
filename = 'data/西藏脊柱问卷原始信息.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k, v in dict1.items():
s = ''
if k in dict2.keys():
if dict2[str(k)]['sex'] =='男':
sex = "m"
else:
sex = "f"
dict3 = {}
list_mx = []
name = dict2[str(k)]['name']
list_mx.append(f'"name":"{name}"')
list_mx.append(f'"Gender":"{sex}"')
age = dict2[str(k)]['age']
list_mx.append(f'"Age":{age}')
dict3['surveyId'] = "zsyxz1"
dict3['name'] = dict2[str(k)]['name']
code = dict2[str(k)]['code']
for item in v.keys():
if item == 'wenjuan':
for i in range(0,21):
if v[item][i] ==1:
result = 'ture'
else:
result ='false'
item_name = 'q'+str(i+1)
list_mx.append(f'"{item_name}":{result}')
for i in range(23,25):
if v[item][i] ==1:
result = 'ture'
else:
result ='false'
item_name = 'q'+str(i)
list_mx.append(f'"{item_name}":{result}')
if sex == 'f':
item_name = 'q25a'
if v[item][21] ==1:
result = 'ture'
else:
result ='false'
list_mx.append(f'"{item_name}":{result}')
else:
item_name = 'q22'
if v[item][22] ==1:
result = 'ture'
else:
result ='false'
list_mx.append(f'"{item_name}":{result}')
item_name = 'q25b'
if v[item][25] ==1:
result = 'ture'
else:
result ='false'
list_mx.append(f'"{item_name}":{result}')
else:
item_name = item
list_mx.append(f'"{item_name}":{v[item]}')
ss = ','.join(list_mx)
ss ='{'+ss+'}'
dict3['data'] = ss
sj = '2023-06-01 20:00:00'
s= s+f'("zsyxz1","{name}","{code}",\'{ss}\',"{sj}"),'
print(s)In [ ]:
import json
import time
import csv
filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k,v in dict1.items():
item[k] = v
re_ta = {}
dict1 = {}
list1 = []
filename = 'data/西藏人员.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
filename = 'data/places_result_20230704.csv'
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
#line = re.sub('[\r\n\f ]{1,}', '', line)
list1.append(line)
#print(list1)
for result in list1:
user = str(result[2])
if user in dict1.keys():
m_item = str(result[3])
re_ta.setdefault(user,{})
re_ta[user]['name'] = dict1[user]['name']
re_ta[user]['sex'] = dict1[user]['sex']
item_name = item[m_item]['name']
re_ta[user].setdefault(item_name,{})
score = int(result[4])/item[m_item]['divisor']
re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
print(len(re_ta))
filename = 'data/result_xizang.json'
with open(filename,'w') as fl:
json.dump(re_ta, fl, ensure_ascii=False)
print(len(re_ta))In [ ]:
import os,sys,shutil
import json
import math
import glob
from pathlib import Path
fi_path = 'file/2023-06-06'
old = []
dict2 = {}
filename = 'data/result_xizang.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k, v in dict1.items():
m_name = v['name']
dict2[int(k)] = [m_name]
fls = glob.glob(f'{fi_path}/*.pdf')
for fn in fls:
old.append(os.path.basename(fn).split('.')[0])
for n in old:
o_name = f'{fi_path}/{n}.pdf'
new_path = Path(fi_path,'new')
new_path.mkdir(parents = True, exist_ok = True)
n_name = Path(new_path,f'{str(n).rjust(5,"0")}-{dict2[int(n)][0]}.pdf')
if not os.path.exists(n_name):
shutil.copyfile(o_name,n_name)
print(n_name)
print('ok')In [ ]:
import json
import time
import csv
filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k,v in dict1.items():
item[k] = v
filename = 'data/西藏人员.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
re_ta = {}
list1 = []
#print("\n运动项目信息:")
filename = 'data/places_result_20230714.csv'
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
#line = re.sub('[\r\n\f ]{1,}', '', line)
list1.append(line)
#print(list1)
for result in list1:
user = str(result[2])
if user in dict1.keys():
m_item = str(result[3])
re_ta.setdefault(user,{})
re_ta[user]['name'] = dict1[user]['name']
re_ta[user]['sex'] = dict1[user]['sex']
re_ta[user]['birth'] = dict1[user]['birth'].replace('-','/')
item_name = item[m_item]['name']
re_ta[user].setdefault(item_name,{})
score = int(result[4])/item[m_item]['divisor']
re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
re_ta[user][item_name]['得分'] =result[5]
print(len(re_ta))
liwai = []
for k, v in re_ta.items():
if (len(v)<8 and '身高' in v and '体重' in v) or (len(v)<7 and '身高' not in v and '体重' not in v) :
liwai.append(k)
print(liwai)
for k in liwai:
del re_ta[k]
print(len(re_ta))
filename = 'data/result_xizang.json'
with open(filename,'w') as fl:
json.dump(re_ta, fl)
print('ok')
print(len(re_ta))In [ ]:
import json
import datetime
filename = 'data/result_xizang.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k, v in dict1.items():
birth = v['birth'].split()[0].split('/')
nian = int(birth[0].strip())
yue = int(birth[1].strip())
ri = int(birth[2].strip())
#print(k,nian,yue,ri)
days = (datetime.date(2023, 6, 10)-datetime.date(nian,yue,ri)).days
v['age'] = int(days/365)
filename = 'data/result_xizang.json'
with open(filename,'w') as fl:
json.dump(dict1, fl)
print('ok') In [ ]:
import json
items = ['体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k,v in dict1.items():
score = 0
i = 0
for k1,v1 in v.items():
if k1 in items:
score = score + int(v1['得分'])
i+=1
dict1[k]['score'] = round(score/i,2)
with open(filename,'w') as fl:
json.dump(dict1, fl)
print('ok')In [ ]:
import json
with open(filename,'r') as fl:
dict1 = json.load(fl)
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
for k1, v1 in dict2.items():
di = v1[0]
gao = v1[1]
i = 0
m = 0
f = 0
for k,v in dict1.items():
if int(v['score']*100) in range(di,gao+1):
dict1[k]['level'] = k1
i+=1
if v['sex'] == '男':
m = m +1
else:
f = f+1
print(f'{di}~{gao}分人数:{i}人,男性:{m}人,女性:{f}人')
with open(filename,'w') as fl:
json.dump(dict1, fl)
print('ok')In [ ]:
import json
nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]
with open(filename,'r') as fl:
dict1 = json.load(fl)
for item in nld:
di = item[0]
gao = item[1]
i = 0
score = 0
m = 0
f = 0
for k,v in dict1.items():
if v['age'] in range(di,gao+1):
score = score+v['score']
i+=1
if v['sex'] == '男':
m = m +1
print(f'{di}~{gao}岁平均成绩:{round(score/i,2)}分,人数:{i}人,男性:{m}人')In [ ]:
import json
nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
with open(filename,'r') as fl:
dict1 = json.load(fl)
for item in nld:
di = item[0]
gao = item[1]
i = 0
score = 0
m = 0
f = 0
for k,v in dict1.items():
if v['age'] in range(di,gao+1) and v['sex'] == '男':
score = score+v['score']
i+=1
if i >0:
print(f'{di}~{gao}岁平均成绩:{round(score/i,2)}分,人数:{i}人')
else:
print(f'{di}~{gao}岁平均成绩:0分,人数:0人') In [ ]:
import json
nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
with open(filename,'r') as fl:
dict1 = json.load(fl)
for item in nld:
di = item[0]
gao = item[1]
i = 0
score = 0
m = 0
f = 0
for k,v in dict1.items():
if v['age'] in range(di,gao+1) and v['sex'] == '女':
score = score+v['score']
i+=1
if i >0:
print(f'{di}~{gao}岁平均成绩:{round(score/i,2)}分,人数:{i}人')
else:
print(f'{di}~{gao}岁平均成绩:0分,人数:0人') In [ ]:
import json
nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
#filename = 'data/result_石家庄.json'
with open(filename,'r') as fl:
dict1 = json.load(fl)
i = 1
m = 0
f = 0
score = 0
t_score = 0
for k,v in dict1.items():
if v['sex'] == '男':
m = m +1
score = score+v['score']
print(f'平均成绩:{round(score/m,4)}分,男性:{m}人')
t_score = t_score + score
score = 0
for k,v in dict1.items():
if v['sex'] == '女':
f = f +1
score = score+v['score']
print(f'平均成绩:{round(score/f,4)}分,女性:{f}人')
t_score = t_score + score
print(f'平均成绩:{round(t_score/165,4)}分,总体:165人')In [ ]:
nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
with open(filename,'r') as fl:
dict1 = json.load(fl)
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
dict3 = {}
for item in nld:
di = item[0]
gao = item[1]
age = f'{di}-{gao}'
dict3.setdefault(age,{})
i = 0
m = 0
f = 0
for k,v in dict1.items():
if v['age'] in range(di,gao+1):
dict3[age].setdefault(v['level'],0)
if v['sex'] == '女':
dict3[age][v['level']] = dict3[age][v['level']]+1
for k, v in dict3.items():
print(k,v)In [ ]:
nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
with open(filename,'r') as fl:
dict1 = json.load(fl)
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
dict3 = {}
for item in nld:
di = item[0]
gao = item[1]
age = f'{di}-{gao}'
dict3.setdefault(age,{})
i = 0
m = 0
f = 0
for k,v in dict1.items():
if v['age'] in range(di,gao+1):
dict3[age].setdefault(v['level'],0)
if v['sex'] == '男':
dict3[age][v['level']] = dict3[age][v['level']]+1
for k, v in dict3.items():
print(k,v)In [ ]:
with open(filename,'r') as fl:
dict1 = json.load(fl)
items = ['体重','肺活量','握力','坐位体前屈','单脚站立','选择反应时']
for item in items:
score = 0
n = 0
for k, v in dict1.items():
if item in v.keys():
n = n + 1
score =score + int(v[item]['得分'])
print(item,round(score/n,2),n)In [ ]:
In [23]:
import json
import csv
dict1 = {}
dict2 = {}
for i in range(1,26):
dict1[f'q{str(i)}'] = 0
list1 = []
filename = 'data/Survey_20230719.csv'
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
#line = re.sub('[\r\n\f ]{1,}', '', line)
list1.append(line)
list2 = []
for result in list1:
data = json.loads(result[5].strip())
for k, v in data.items():
if v:
dict1[k] += 1
print(dict1) {'q1': 34, 'q2': 37, 'q3': 32, 'q4': 86, 'q5': 55, 'q6': 33, 'q7': 63, 'q8': 29, 'q9': 59, 'q10': 14, 'q11': 47, 'q12': 58, 'q13': 14, 'q14': 8, 'q15': 54, 'q16': 52, 'q17': 20, 'q18': 54, 'q19': 43, 'q20': 1, 'q21': 31, 'q22': 22, 'q23': 50, 'q24': 10, 'q25': 2}
In [22]:
import json
import csv
dict1 = {}
dict2 = {}
for i in range(1,26):
dict1[f'q{str(i)}'] = 0
list1 = []
filename = 'data/Survey_20230719.csv'
with open(filename,'r',newline='') as csv_file:
fl = csv.reader(csv_file,delimiter=',')
header = next(fl)
for line in fl:
#line = re.sub('[\r\n\f ]{1,}', '', line)
list1.append(line)
list2 = []
for result in list1:
data = json.loads(result[5].strip())
for k, v in data.items():
if k == 'q25'and v:
print(result)
#print(dict1) ['10422', 'zsyxz1', '', '张斌', '35', '{"q25":true,"q1":false,"q2":false,"q3":false,"q4":true,"q5":true,"q6":true,"q7":true,"q8":false,"q9":true,"q10":false,"q11":false,"q12":false,"q13":false,"q14":false,"q15":true,"q16":false,"q17":false,"q18":false,"q19":true,"q20":false,"q21":true,"q22":false,"q23":false,"q24":true}', '2023-06-01 20:00:00']
['10424', 'zsyxz1', '', '余兴见', '85', '{"q25":true,"q1":false,"q2":true,"q3":false,"q4":true,"q5":true,"q6":false,"q7":true,"q8":true,"q9":true,"q10":false,"q11":true,"q12":true,"q13":false,"q14":false,"q15":true,"q16":true,"q17":true,"q18":false,"q19":false,"q20":false,"q21":true,"q22":true,"q23":false,"q24":true}', '2023-06-01 20:00:00']
In [ ]: