如何从Azure ml中的python中的给定日期中提取月份和年份

过去几天，我一直在用天蓝色ml工作.我想出了一个数据集，该数据集由以下格式的

I was working in azure ml for the past few days. I came up with a dataset which consists of date in the below format

mm/dd/yyyy hh:mm:ss

mm/dd/yyyy hh:mm:ss

我想通过在azure ml中编写python代码来从中提取月份和年份.我正在尝试以下代码:

I want to extract month and year from it by writing python code in azure ml. I am trying the following code:

def azureml_main(dataframe1 = None, dataframe2 = None):
    import pandas as pd
    dates = pd.to_datetime(dataframe1['Order Date'])
    dates = dates.apply(lambda x: x.strftime('%m-%d-%Y'))
    dataframe1['Order Date'] = dates
    # Execution logic goes here
    print('Input pandas.DataFrame #1:\r\n\r\n{0}'.format(dataframe1))

但是我收到一个错误消息，说NTType没有名为strftime的属性.谁能告诉我这里的问题是什么以及如何解决.

But I am getting an error saying that NTType there is no attribute with the name strftime. Can anyone tell me what's the issue here and how to solve it.