本文整理匯總了Python中course.Course.add方法的典型用法代碼示例。如果您正苦於以下問題：Python Course.add方法的具體用法？Python Course.add怎麽用？Python Course.add使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類course.Course的用法示例。
在下文中一共展示了Course.add方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: create_courses
# 需要導入模塊: from course import Course [as 別名]
# 或者: from course.Course import add [as 別名]
def create_courses(roster_data, keep_df=None):
"""
Create Course objects by doing one pass of roster file and using info from fields
StudentID, coursename, TeacherID. Based on the 'keeplist', determine whether a course in mandatry
Return data frame with new column that contains list of Course objects
"""
# Track courses (Course objects) that are created; will eventually be added to main roster dataframe
course_list = []
for ix, row in roster_data.iterrows():
# Info for the course
sid = row["StudentID"]
course = row["coursename"]
teachID = row["TeacherID"]
subject = row["subject"]
# Does Course already exist
exists = False
for course_obj in course_list:
course_name = course_obj.course_name
teach_id = course_obj.teacher_id
if course == course_name and teachID == teach_id:
course_obj.add(sid)
course_list.append(course_obj)
exists = True
break
# Continue if course existed
if exists:
continue
else:
# Check if there is a keep list and, if so, check if this course shoudl be listed as mandatory
keep = False
if isinstance(keep_df, pd.DataFrame):
if course in keep_df["coursename"].tolist() or subject in keep_df["subject"].tolist():
keep = True
# Create new course
new_course = Course(course, teachID, subject, keep)
new_course.add(sid)
course_list.append(new_course)
roster_data["Course"] = course_list
return roster_data