import csv

'''
普通方式讀取csv檔案
'''
def read_csv():
    with open('example.csv', 'r') as file:
        reader = csv.reader(file) # 返回可迭代物件, 只可被遍歷一次
#         for row in list(reader): # 返回一個二維陣列
#             print(row)
        for row in reader: # 可使用.next獲取一行資料
            print(reader.line_num, row)

'''
以字典的形式讀取csv檔案
'''
 

def read_to_dict():
    with open('example.csv', 'r') as file:
        reader = csv.DictReader(file)
        for row in reader:
            print(row)

'''
匯出csv資料  - Dict形式
'''
def export_with_Dict():
    fieldName = ['name', 'age']
    
    data = [
        {'name': 'Mike', 'age': 12},
        {'name'
 
: 'Jack', 'age': 13},
        {'name': 'Bob', 'age': 14},
        {'name': 'Tom', 'age': 15},
        ]
    
    with open('example.csv', 'w', newline = '') as file:
        writer = csv.DictWriter(file, fieldnames = fieldName)
        writer.writeheader()
        for row in data:
            writer.
 
writerow(row)
        # 寫入多行 writer.writerrows(data)
    
    print('export success')

'''
匯出csv資料 - List形式
'''
def export_with_list():
    data = [
        ['name', 'age'],
        ['Mike', 12],
        ['Jack', 13],
        ['Jerry', 14],
        ]
    with open('exmplae.csv', 'w', newline = '') as file:
        writer = csv.writer(file)
        for row in data:
            writer.writerow(row)
        # 寫入多行 writer.writerows(data)
        
if __name__ == '__main__':
    pass