#Python綜合範例13 while info != “” 便一直readline(),Page 9-39
infile = open(“student.dat”,”r”,encoding=”utf-8″)
info = infile.readline()
while info != “”:
lst = info.split()
cal = eval(lst[1])
acc = eval(lst[2])
avg = cal*0.6 + acc*0.4
print(“|%10s: %.2f|” %(lst[0],avg))
info = infile.readline()
infile.close()
“””
.dat檔內容如:
Peter 11 22
Mary 33 44
John 55 66
“””

#綜合範例14,微積分最高分

![Python Logging 完全指南:從基礎到實戰應用; import logging ; logging.basicConfig(level=logging.INFO, handlers=[ logging.StreamHandler(), logging.FileHandler(‘app.log’, mode=’a’, encoding=’utf-8′)] ) ; inspect.currentframe().f_code.co_name #動態取得funcName Python Logging 完全指南:從基礎到實戰應用; import logging ; logging.basicConfig(level=logging.INFO, handlers=[ logging.StreamHandler(), logging.FileHandler(‘app.log’, mode=’a’, encoding=’utf-8′)] ) ; inspect.currentframe().f_code.co_name #動態取得funcName](https://i2.wp.com/savingking.com.tw/wp-content/uploads/2025/10/20251021155823_0_c16012.png?quality=90&zoom=2&ssl=1&resize=350%2C233)




![Python: 如何用numpy.ndarray的reshape 將3D array轉為2D array,再轉為pandas.DataFrame? arr.reshape( arr.shape[0] * arr.shape[1] , -1) Python: 如何用numpy.ndarray的reshape 將3D array轉為2D array,再轉為pandas.DataFrame? arr.reshape( arr.shape[0] * arr.shape[1] , -1)](https://i1.wp.com/savingking.com.tw/wp-content/uploads/2023/03/20230320082325_85.png?quality=90&zoom=2&ssl=1&resize=350%2C233)




近期留言