2
我使用pandas
来尝试计算在两个日期之间购买了特定类型合同的成员。说我有酷似工作数据框:熊猫根据日期和条件过滤
Member Nbr Contract-Type Date-Joined
20 1 Year Membership 2011-08-01
3128 3 Month Membership 2011-07-22
3535 4 Month Membership 2015-02-18
3760 4 Month Membership 2010-02-28
3762 3 Month Membership 2010-01-31
3882 1 Month Membership 2010-04-24
3892 3 Month Membership 2010-03-24
4116 3 Month Membership 2014-12-02
4700 1 Month Membership 2014-11-11
4802 4 Month Membership 2014-07-26
5004 1 Year Membership 2012-03-12
5020 1 Year Membership 2010-07-28
5022 3 Month Membership 2010-06-25
5130 1 Year Membership 2011-01-04
...
我能够得到计数如果只有一个合同类型,我很感兴趣,使用
print(len(df[(df['Date-Joined'] > '2010-01-01')
& (df['Date-Joined'] < '2012-02-01')
& (df['Member Type'] == '1 Year Membership')]))
当我尝试类似的东西通过指定1 Year Membership
或4 Month Membership
用下面的代码
print(len(df[(df['Date-Joined'] > '2013-01-01')
& (df['Date-Joined'] < '2013-02-01')
& (df['Member Type'] == '1 Year Membership')
or (df['Member Type'] == '4 Month Membership')]))
我收到以下错误
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
并通过&
条件更换or
条件返回0
使用'|'而不是'或'。 –
另外,'&'优先于'|,所以你的逻辑可能需要一组括号。 –