[已解决]求大神指点一个pandas的问题

火石

已知下列一个dataframe，想新建一列，计算price列每个数相对两天之前的变化幅度。例如2011-05-05 这天的价格2050.07，跟2011-05-03的2114.42相比的变化幅度是（2050.07-2114.42）/2114.42  
data               price
2011-05-03    2114.42
2011-05-04    2056.70
2011-05-05    2050.07
2011-05-06    2037.75
2011-05-09    2036.76
2011-05-10    2057.67
2011-05-11    2048.34
2011-05-12    2021.28
2011-05-13    2043.26
2011-05-16    2019.54
2011-05-17    2033.78
2011-05-18    2053.64
2011-05-19    2046.11
2011-05-20    2052.54

最佳答案

月排行榜 / 总排行榜

月下孤井

2022-9-18 00:23:27

import pandas as pd
df = pd.DataFrame({'data': ['2011-05-03', '2011-05-04', '2011-05-05', '2011-05-06', '2011-05-09', '2011-05-10',
                            '2011-05-11', '2011-05-12', '2011-05-13', '2011-05-16', '2011-05-17', '2011-05-18',
                            '2011-05-19', '2011-05-20'],
                   'price': [2114.42, 2056.70, 2050.07, 2037.75, 2036.76, 2057.67, 2048.34, 2021.28,
                             2043.26, 2019.54, 2033.78, 2053.64, 2046.11, 2052.54]})
df['rangeability2'] = [None, None] + [(df['price'].tolist()[i+2]-df['price'].tolist()[i])/df['price'].tolist()[i] for i in range(len(df['price'].tolist())-2)]
print(df)

跳转到最佳答案楼层

月下孤井

import pandas as pd
df = pd.DataFrame({'data': ['2011-05-03', '2011-05-04', '2011-05-05', '2011-05-06', '2011-05-09', '2011-05-10',
                            '2011-05-11', '2011-05-12', '2011-05-13', '2011-05-16', '2011-05-17', '2011-05-18',
                            '2011-05-19', '2011-05-20'],
                   'price': [2114.42, 2056.70, 2050.07, 2037.75, 2036.76, 2057.67, 2048.34, 2021.28,
                             2043.26, 2019.54, 2033.78, 2053.64, 2046.11, 2052.54]})
df['rangeability2'] = [None, None] + [(df['price'].tolist()[i+2]-df['price'].tolist()[i])/df['price'].tolist()[i] for i in range(len(df['price'].tolist())-2)]
print(df)

火石

月下孤井 发表于 2022-9-18 00:23
import pandas as pd
df = pd.DataFrame({'data': ['2011-05-03', '2011-05-04', '2011-05-05', '2011-05- ...

多谢大神指点