我正在尝试查找列 ['High'] 和 ['Low'] 之间 5 个周期的滚动相关性。
我设法计算它,但出现错误:
FutureWarning: pd.rolling_corr is deprecated for Series and will be removed in a future version, replace with Series.rolling(window=5).corr(other=)
尝试更换它,但不起作用。有什么帮助吗?
import pandas as pd
df_Gold = pd.read_csv('GoldData.csv')
df_Gold['High_Low'] = pd.rolling_corr(df_Gold['High'],df_Gold['Low'],5)
print(df_Gold.tail())
最佳答案
尝试使用
df['Col1'].rolling(5).corr(df['Col2'])#pandas V 0.20
<小时/>
通知
pd.rolling_corr(df['Col1'],df['Col2'],window=5)#panda V 0.17 (notice pd.rolling_corr is deprecated for Series )
关于python - 错误消息 : replace with Series. 滚动(窗口=5).corr(其他=<系列>),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/46167165/