将行追加到pandas DataFrame而不创建新副本 [英] Append rows to a pandas DataFrame without making a new copy

问题描述

熊猫文档包含注释:

请注意，与list.append方法不同，后者会追加到原始列表，但不返回任何内容，而append不会修改df1并返回添加了df2的副本.

Note Unlike list.append method, which appends to the original list and returns nothing, append here does not modify df1 and returns its copy with df2 appended.

如何在不复制的情况下附加到现有DataFrame?还是按照注释的方式，如何通过附加df2来修改df1而​​什么也不返回?

How can I append to an existing DataFrame without making a copy? Or in the terms of the note how can I modify df1 in place by appending df2 and return nothing?

推荐答案

请参见即将发布的熊猫0.13版本将允许通过loc在不存在的索引数据上添加行.

Upcoming pandas 0.13 version will allow to add rows through loc on non existing index data.

说明位于此处这个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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