Question

我目前正在处理由许多数据帧组成的数据库。我想在这些数据框之一中添加一列。我试图在日期上添加条件，以便在df1中为该日期添加该日期在df2中的信息。紧接着，仅当df1中的ID与df2中的ID相同时，它才必须添加该信息。我正在努力增加这一条件。有人可以帮忙吗，我在这个问题上坚持了太久了。这是我到目前为止的内容：

conditions = [
    (df1['colDate'] < '2015-11-30'),
    (df1['colDate'] >= '2015-11-30') & (df1['colDate'] < '2016-11-30'),
    (df1['colDate'] >= '2016-11-30') & (df1['colDate'] < '2017-11-30'),
    (df1['colDate'] >= '2017-11-30') & (df1['colDate'] < '2018-11-30'),
    (df1['colDate'] >= '2018-11-30') & (df1['colDate'] < '2019-12-02'),
    (df1['colDate'] >= '2019-12-02') & (df1['colDate'] < '2020-06-03'),
    (df1['colDate'] >= '2020-06-03')
    ]

#create the list of values to apply for each condition
scores = [df2.loc[df2['colDate'] == '2014-11-30' & df1['colId'] == df2['colId'], 'colScore'],
          df2.loc[df2['colDate'] == '2015-11-30' & df1['colId'] == df2['colId'], 'colScore'],
          df2.loc[df2['colDate'] == '2016-11-30' & df1['colId'] == df2['colId'], 'colScore'],
          df2.loc[df2['colDate'] == '2017-11-30' & df1['colId'] == df2['colId'], 'colScore'],
          df2.loc[df2['colDate'] == '2018-11-30' & df1['colId'] == df2['colId'], 'colScore'],
          df2.loc[df2['colDate'] == '2019-12-02' & df1['colId'] == df2['colId'], 'colScore'],
          df2.loc[df2['colDate'] == '2020-06-03' & df1['colId'] == df2['colId'], 'colScore']]

#create the new column in Index_data
df1['score']=np.select(conditions, scores)

并返回该错误

TypeError: Cannot perform 'rand_' with a dtyped [object] array and scalar of type [bool]

谢谢！

Python：将列添加到在多个数据框上具有复杂条件的现有数据框

0 个答案: