[英]How can I calculate cumulative percentage change from beginning period
I am trying to create a DataFrame
with a rolling cumulative percentage change. 我正在尝试创建一个滚动累积百分比变化的DataFrame
。 I would like to show the percentage change of the stock from the initial buy date (2014-09-05). 我想显示股票从最初购买日期(2014-09-05)的百分比变化。
import pandas as pd
import pandas.io.data as web
cvs = web.get_data_yahoo('cvs', '2014-09-05')['Adj Close']
cvsChange = cvs[1:] / cvs.shift(1) - 1
Thank you @EdChum 谢谢@EdChum
What I was looking for was... 我在寻找的是......
PriceChange = cvs.diff().cumsum()
PercentageChange = PriceChange / cvs.iloc[0]
这个怎么样:
(cvs.iloc[-1] - cvs.iloc[0]) / cvs.iloc[0] * 100
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