DRC01 NaN Regular 0.017 Soft Drinks Second DataFrame: Item_Type mean Soft Drinks 8.7 Dairy 9.7 第一个数据帧中的NaN值应替换为8.7。这是因为Item_Type是软饮料,在第二个数据帧中,软饮料的平均值是8.7。 这是我的密码: for i in range(len(big_mart)): if pd.isna(big_mart.iloc[i, 1]) == ...
Pandas 1.3 >>>importpandasaspd>>>importnumpyasnp>>>df=pd.DataFrame([0.5,np.nan])>>>df.where(pd.notnull(df),None)000.51NaN Problem description Replacing NaN values with None (or any other Python object) should work as in previous Pandas versions. ...
When replacing values in a categorical series with NA, I see the error "boolean value of NA is ambiguous". Expected Behavior If we replace with NumPy's NaN value instead of pandas' NA, it works as expected. import numpy as np import pandas as pd phonetic = pd.DataFrame({ "x": ["al...