如何向 pandas 数据框添加额外的行 [英] How to add an extra row to a pandas dataframe

问题描述

如果我这样有一个空的数据框:

If I have an empty dataframe as such:

columns = ['Date', 'Name', 'Action','ID']
df = pd.DataFrame(columns=columns) 

是否可以将新行追加到此新创建的数据框?当前，我必须创建一个字典，将其填充，然后将字典附加到最后的数据框中.有没有更直接的方法?

is there a way to append a new row to this newly created dataframe? Currently I have to create a dictionary, populate it, then append the dictionary to the dataframe at the end. Is there a more direct way?

推荐答案

即将发布的pandas 0.13版本将允许通过loc在不存在的索引数据上添加行.但是，请注意，这实际上会创建整个DataFrame的副本，因此这不是有效的操作.

Upcoming pandas 0.13 version will allow to add rows through loc on non existing index data. However, be aware that under the hood, this creates a copy of the entire DataFrame so it is not an efficient operation.

说明位于此处，并且此新功能称为放大设置.

Description is here and this new feature is called Setting With Enlargement.

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