用python求迟到人数 用python编写程序输入10名学生的成绩，进行优、良、中、...
python pymysql \u6267\u884c\u6bd4\u8f83\u65f6\u95f4\u7684sql\u8bed\u53e5\uff0c\u5728mysql\u4e2d\u53ef\u4ee5\u987a\u4e86\u6267\u884c\uff0c\u4f46\u662f\u5728python\u4e2d\u6267\u884c\u4e3a\u4f55\u62a5\u9519\uff1f\u4f60\u4e0a\u9762\u7684sql\u5982\u679c\u6362\u884c\u5199\u7684\u8bdd\uff0c\u4f60\u8bd5\u8bd5\u770b\u7528\u4e09\u4e2a\u70b9\u62ec\u8d77\u6765\uff0c\u50cf
sql = '''XXX
XXX'''
\u770b\u770b\u662f\u4e0d\u662f\u8fd9\u4e2a\u95ee\u9898\u5bfc\u81f4\u7684\u3002
L = []
y = 0 #\u4f18\u7684\u4eba\u6570
q = 0 #\u826f\u7684\u4eba\u6570
z = 0 #\u4e2d\u7684\u4eba\u6570
j = 0 #\u53ca\u683c\u7684\u4eba\u6570
b = 0 #\u4e0d\u53ca\u683c\u7684\u4eba\u6570
for i in range(10):
c = input("\u8bf7\u8f93\u5165\u7b2c{}\u4f4d\u5b66\u751f\u7684\u6210\u7ee9:".format(i+1),)
L.append(c)
for a in L:
if int(a) >=90:
y += 1
elif int(a)>=80:
q += 1
elif int(a)>=70:
z += 1
elif int(a)>=60:
j += 1
else:
b += 1
print("\u8fd9\u5341\u540d\u5b66\u751f\u4e2d\u5f97\u4f18\u7684\u4eba\u6570\u662f{}\u4eba,\u5f97\u826f\u7684\u4eba\u6570\u662f{}\u4eba,\u5f97\u4e2d\u7684\u4eba\u6570\u662f{}\u4eba,\u5f97\u53ca\u683c\u7684\u4eba\u6570\u662f{}\u4eba,\u5f97\u4e0d\u53ca\u683c\u7684\u4eba\u6570\u662f{}\u4eba".format(y,q,z,j,b))
假设有一个名为students的列表，其中包含了所有学生的到课时间，那么可以使用如下的代码来求出迟到的学生人数：
# 假设8:30是课程开始时间
class_start_time = 8.30
# 计算迟到的学生人数
late_students = 0
for student in students:
if student > class_start_time:
late_students += 1
print("迟到的学生人数为：", late_students)
在这段代码中，我们首先定义了课程开始时间class_start_time，然后通过遍历students列表，比较每个学生的到课时间与课程开始时间，如果学生的到课时间晚于课程开始时间，就将迟到的学生人数late_students加1。最后，我们通过print函数输出迟到的学生人数。
请注意，上面的代码只是一个示例，实际应用中可能需要根据实际情况进行更多的处理，比如考虑课程开始时间可能会有延迟等情况。
绛旓細class_start_time = 8.30 璁＄畻杩熷埌鐨勫鐢浜烘暟 late_students = 0 for student in students:if student > class_start_time:late_students += 1 print("杩熷埌鐨勫鐢熶汉鏁颁负锛", late_students)鍦ㄨ繖娈典唬鐮佷腑锛屾垜浠鍏堝畾涔変簡璇剧▼寮濮嬫椂闂碿lass_start_time锛岀劧鍚庨氳繃閬嶅巻students鍒楄〃锛屾瘮杈冩瘡涓鐢熺殑鍒拌...
绛旓細浣跨敤Python鐨凱andas搴擄紝鍙互杞绘澗璁＄畻琛ㄦ牸涓繜鍒颁汉鏁扮殑鎬绘暟銆傜ず渚嬩唬鐮侊細import pandas as pd 璇诲彇琛ㄦ牸 df = pd.read_csv('table.csv')璁＄畻杩熷埌浜烘暟 late_count = df[df['IsLate'] == 1]['Name'].count()杈撳嚭杩熷埌浜烘暟 print('杩熷埌浜烘暟鎬绘暟锛', late_count)
绛旓細data = [['鐜嬪钩', '鐢', 1, 1, 0, 0],['鏉庝附', '濂', 0, 1, 0, 1],['闄堝皬姊', '濂', 0, 0, 1, 0],['瀛欐椽娑', '鐢', 0, 1, 1, 1],['鏂逛寒', '鐢', 1, 0, 1, 0],]# 1.
绛旓細杈撳嚭鎬讳汉鏁 print(f'Total people count: {people_count}')鍦ㄤ笂闈㈢殑浠ｇ爜涓紝鎴戜滑杩樺垵濮嬪寲浜嗕竴涓 people_count 鍙橀噺鏉ヨ褰曚汉鏁帮紝骞跺湪姣忎竴甯т腑閫氳繃妫娴嬪埌鐨勪汉浣撴暟閲忔潵鏇存柊浜烘暟璁℃暟鍣ㄣ傛渶鍚庯紝鎴戜滑浣跨敤浜 OpenCV 鐨 imshow 鍑芥暟鏉ユ樉绀哄綋鍓嶅抚鐨勫浘鍍忥紝骞朵娇鐢 waitKey 鍑芥暟鏉ユ娴嬫槸鍚︽寜涓嬩簡 'q' 閿傚鏋...
绛旓細COUNTIF(B2:C5,{">60",">90"})缁熻鍑哄ぇ浜60鐨浜烘暟6鍜屽ぇ浜90鐨勪汉鏁1锛屽嵆{6,1}銆倇6,1}涓巤1,-1}鐩镐箻寰楀埌{6,-1}锛屼袱鑰呯浉鍔犲嵆寰楀埌澶т簬60銆佸皬浜90涔嬮棿鐨勪汉鏁5浜恒侰OUNTIF鍑芥暟璇硶锛欳OUNTIF(range,criteria)range锛氭槸涓涓垨澶氫釜瑕佽鏁扮殑鍗曞厓鏍硷紝鍏朵腑鍖呮嫭鏁板瓧鎴栧悕绉般佹暟缁勬垨鍖呭惈鏁板瓧鐨勫紩鐢ㄣ
绛旓細鍙傝冧笅鍥撅細
绛旓細course2 = set(('鏂界劧', '鏉庤姵鑺', '鍒樻絿', '鏂瑰悜', '瀛欎竴鑸', '榛勭厡'))course3 = set(('闄堢孩闈', '鏂瑰悜', '鍒樺煿鑹', '寮犵帀', '鏂...
绛旓細import numpy as np with open(r"C:\Users\Administrator\Desktop\grade.txt","r") as f:row = [] #琛屽彿 values = [] #鎴愮哗 max_g = [] #鏈濂芥垚缁╃殑琛屽彿 bjg_g = []for num,value in enumerate(f):row.append(num)values.append(int(value.strip('\n')))group = [ro...
绛旓細浠绘剰杈撳叆4涓暣鏁帮紝浠庡ぇ鍒板皬鎺掑垪杈撳嚭銆俶ain(){int a,b,c,d,m;scanf("%d %d %d %d",&a,&b,&c,&d);if(b>a){m=a;a=b;b=m;} if(d>c){m=c;c=d;d=m;} if(c>a){m=a;a=c;c=m;} if(c>b);{m=b;b=c;c=m;}printf("\n%d %d %d %d\n",a,b,c,d)銆
绛旓細= input() if(not i): continue if(i=="q"): break if(int(i)<0): print("杈撳叆鏈夎锛") continue cnt = cnt + 1 sum = sum + int(i)print("瀛︾敓浜烘暟锛" + str(cnt))print("骞冲潎鍒嗭細" + str(sum/cnt))
