[英]Add indexed column to DataFrame with pandas
I'm a beginning pandas user, and after studying the documentation I still can't find a straightforward way to do the following. 我是一个庞大的熊猫用户,在研究了文档后,我仍然无法找到一种直接的方法来执行以下操作。
I have a DataFrame with a pandas.DateRange index, and I want to add a column with values for part of the same DateRange. 我有一个带有pandas.DateRange索引的DataFrame,我想添加一个包含相同DateRange部分值的列。
Suppose I have 假设我有
df
A B
2010-01-01 00:00:00 0.340717 0.702432
2010-01-01 01:00:00 0.649970 0.411799
2010-01-01 02:00:00 0.932367 0.108047
2010-01-01 03:00:00 0.051942 0.526318
2010-01-01 04:00:00 0.518301 0.057809
2010-01-01 05:00:00 0.779988 0.756221
2010-01-01 06:00:00 0.597444 0.312495
and 和
df2
C
2010-01-01 03:00:00 5
2010-01-01 04:00:00 5
2010-01-01 05:00:00 5
How can I obtain something like this: 我怎样才能获得这样的东西:
A B C
2010-01-01 00:00:00 0.340717 0.702432 nan
2010-01-01 01:00:00 0.649970 0.411799 nan
2010-01-01 02:00:00 0.932367 0.108047 nan
2010-01-01 03:00:00 0.051942 0.526318 5
2010-01-01 04:00:00 0.518301 0.057809 5
2010-01-01 05:00:00 0.779988 0.756221 5
2010-01-01 06:00:00 0.597444 0.312495 nan
df['C'] = df2['C']
也适用于这种情况。
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