[英]Pandas: Average values in groups of X days
我想以 10 天为一组(JAN/01 到 JAN/10)平均 AAPL.High 的值,使用第 10 天作为参考号。
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')
代码的思想大概是:
df1['demand'] = df1.groupby(['supplier_name', 'date'])['difference'].transform('mean').fillna(0)
将索引定义为日期的简单案例,然后只需使用resample()
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')
df.index = pd.to_datetime(df["Date"])
df.resample("10d").agg({"AAPL.High":np.mean})
output
AAPL.High
Date
2015-02-17 130.657501
2015-02-27 129.675001
2015-03-09 126.661251
2015-03-19 127.134283
2015-03-29 126.533333
... ...
2017-01-07 119.532001
2017-01-17 120.841248
2017-01-27 125.740000
2017-02-06 133.172500
2017-02-16 135.899994
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