我有数据集
Food Name Protein Calorie Carbohydrate Calcium
Butter, salted 0.85 717 0.06 24.0
Butter, whipped 0.49 718 2.87 23.0
Butter oil 0.28 876 0.00 4.0
Cheese, blue 21.40 353 2.34 528.0
Cheese, brick 23.24 371 2.79 674.0
还有一行...
Protein Calorie Carbohydrate Calcium
56 2200 130 8
这里哪一行与该行最匹配？
最佳答案
我相信你需要:
#get diffrence of matched columns, convert to absolute
df3 = df1[df2.columns].sub(df2.iloc[0]).abs()
#compare by minimal values, count them by sum
s = df3.eq(df3.min()).sum(axis=1)
#filter rows with maximal count
df = df1[s.eq(s.max())]
print (df)
Food Name Protein Calorie Carbohydrate Calcium
2 Butter oil 0.28 876 0.0 4.0
关于python - 如何根据行获取数据框中行的最佳最近值？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/59319932/