将变化率添加到 Pandas DataFrame
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Add rate of change to Pandas DataFrame
提问by greenafrican
I have the following Pandas DataFrame:
我有以下 Pandas DataFrame：
lastrun value
0 2013-10-24 13:10:05+00:00 55376
1 2013-10-24 14:10:32+00:00 56738
2 2013-10-24 15:52:31+00:00 58239
3 2013-10-24 23:52:09+00:00 59981
4 2013-10-25 00:52:04+00:00 61001
I would like to add a column into the dataframe with the rate of change so that i end up with:
我想以变化率在数据框中添加一列，以便我最终得到：
lastrun value change
0 2013-10-24 13:10:05+00:00 55376 NaN
1 2013-10-24 14:10:32+00:00 56738 1362
2 2013-10-24 15:52:31+00:00 58239 1501
3 2013-10-24 23:52:09+00:00 59981 1742
4 2013-10-25 00:52:04+00:00 61001 1020
I know the percentage change can be found using pct_change() but I don't know how to include it as a new column in the existing DataFrame and I'm looking for the real value in change and not the % change.
我知道可以使用 pct_change() 找到百分比变化，但我不知道如何将其作为新列包含在现有 DataFrame 中，我正在寻找变化的真实值而不是变化百分比。
What is the most effective way to achieve this in pandas (or python, numpy)?
在 Pandas（或 python、numpy）中实现这一目标的最有效方法是什么？
回答by Saullo G. P. Castro
You can use the diffmethod:
您可以使用以下diff方法：
df['new_column'] = df['source_column'].diff()
