Question

我有一个数据框df，其头部如下：

    identifier        department    organisation    status change date
1           14           Finance        Accounts            19/09/2018
2           19         Marketing     Advertising            19/09/2016
22         288        Production              IT            03/01/2017
27         352        Facilities         Kitchen            31/01/2017
54         790         Relations           Sales            31/03/2017

df里面有几千条记录。我还有2个日期变量 - 作为字符串（来自命令行的参数）的引用期的开始日期和结束日期：

referencePeriodStartDate和referencePeriodEndDate

目前相同：

referencePeriodStartDate = 01/01/2017
referencePeriodEndDate = 30/03/2017

我正在尝试从df返回并记录状态更改日期超出参考期限的记录referencePeriodStartDate和referencePeriodEndDate

在上面的示例中，标识为14和19的记录将作为状态更改日期返回，它们分别位于参考窗口之前和之后19/09/2018和19/09/2016 。

示例输出

    identifier        department    organisation    status change date
1           14           Finance        Accounts            19/09/2018
2           19         Marketing     Advertising            19/09/2016

我试过以下

resultdf = (df['status change date'].dt.date > referencePeriodEndDate.dt.date) & (df['status change date'].dt.date < referencePeriodStartDate.dt.date)

我将字符串日期转换为类型日期，如果状态更改日期小于referencePeriodStartDate且状态更改日期＆gt;则尝试应用逻辑。 referencePeriodEndDate然后返回该行。

我的问题是没有任何回复。我是否错误地转换为输入日期？如果有人可以看看，我会感激不尽

由于

Answer 1

如果要比较由window.confirm() function创建的列的日期，并且标量日期需要date：

df['status change date'] = pd.to_datetime(df['status change date'])
referencePeriodStartDate =  pd.to_datetime('01/01/2017')
referencePeriodEndDate = pd.to_datetime('30/03/2017')

resultdf = df[(df['status change date'].dt.date > referencePeriodEndDate.date()) | 
              (df['status change date'].dt.date < referencePeriodStartDate.date())]
print (resultdf)
    identifier department organisation status change date
1           14    Finance     Accounts         2018-09-19
2           19  Marketing  Advertising         2016-09-19
54         790  Relations        Sales         2017-03-31

或者对于比较日期时间，只需删除日期或使用~ df['status change date'] = pd.to_datetime(df['status change date']) referencePeriodStartDate = '01/01/2017' referencePeriodEndDate = '30/03/2017' resultdf = df[(df['status change date'] > referencePeriodEndDate) | (df['status change date'] < referencePeriodStartDate)] print (resultdf) identifier department organisation status change date 1 14 Finance Accounts 2018-09-19 2 19 Marketing Advertising 2016-09-19 54 790 Relations Sales 2017-03-31以及mask = ~df['status change date'].between(referencePeriodStartDate, referencePeriodEndDate) resultdf = df[mask] print (resultdf) identifier department organisation status change date 1 14 Finance Accounts 2018-09-19 2 19 Marketing Advertising 2016-09-19 54 790 Relations Sales 2017-03-31

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Answer 2

就像Jezrael提到的代码一样，你正在使用＆＃39;＆amp;＆＃39;来切片。您的日期不能在x＆＃39;＆amp;＆＃39;之后在＆＃39; y之前的同一时间。将字符串转换为datetype，然后使用＆＃39;或＆＃39;或者＆＃39; |＆＃39;

过滤日期范围之外的行日期的数据框

2 个答案: