我想使用pandas coalesce
4列。我试过这个:
final['join_key'] = final['book'].astype('str') + final['bdr'] + final['cusip'].fillna(final['isin']).fillna(final['Deal'].astype('str')).fillna(final['Id'])
当我使用它时,它返回:
+-------+--------+-------+------+------+------------+------------------+
| book | bdr | cusip | isin | Deal | Id | join_key |
+-------+--------+-------+------+------+------------+------------------+
| 17236 | ETFROS | | | | 8012398421 | 17236.0ETFROSnan |
+-------+--------+-------+------+------+------------+------------------+
字段Id
未正确附加到我的join_key
字段。你知道吗
任何帮助都将不胜感激,谢谢。你知道吗
更新:
+------------+------+------+-----------+--------------+------+------------+----------------------------+
| endOfDay | book | bdr | cusip | isin | Deal | Id | join_key |
+------------+------+------+-----------+--------------+------+------------+----------------------------+
| 31/10/2019 | 15 | ITOR | 371494AM7 | US371494AM77 | 161 | 8013210731 | 20191031|15|ITOR|371494AM7 |
| 31/10/2019 | 15 | ITOR | | | | 8011898573 | 20191031|15|ITOR| |
| 31/10/2019 | 15 | ITOR | | | | 8011898742 | 20191031|15|ITOR| |
| 31/10/2019 | 15 | ITOR | | | | 8011899418 | 20191031|15|ITOR| |
+------------+------+------+-----------+--------------+------+------------+----------------------------+
df['join_key'] = ("20191031|" + df['book'].astype('str') + "|" + df['bdr'] + "|" + df[['cusip', 'isin', 'Deal', 'id']].bfill(1)['cusip'].astype(str))
出于某种原因,此代码没有将Id
作为键的一部分。你知道吗
试试这个:
输出
cusip
的最后一个链fillna
太复杂了。你可以把它改成bfill
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