我有两个数据帧tmp和df。
我想做以下求和
df.iloc[:,2] = tmp.iloc[:,2] + df.iloc[:,2]
tmp.iloc[:,2]
0 NaN
1 NaN
2 NaN
3 1693.0
4 3511.0
5 NaN
6 NaN
7 2285.0
8 63269.0
9 NaN
10 16637.0
11 4319.0
12 5361.0
13 32338.0
14 61578.0
15 9022.0
16 5648.0
17 190.0
18 NaN
19 3840.0
20 13217.0
21 8525.0
22 3725.0
23 552.0
24 NaN
25 NaN
26 3914.0
27 2328.0
28 1980.0
29 15436.0
30 5284.0
31 258.0
Name: (HOMEWORK, GAID), dtype: float64
df.iloc[:,2]
0 NaN
1 NaN
2 NaN
3 3403.0
4 6893.0
5 NaN
6 NaN
7 4605.0
8 126664.0
9 NaN
10 33022.0
11 8700.0
12 10796.0
13 64832.0
14 123594.0
15 18109.0
16 11377.0
17 394.0
18 NaN
19 7656.0
20 26441.0
21 16935.0
22 7572.0
23 1032.0
24 NaN
25 NaN
26 7824.0
27 4659.0
28 3884.0
29 30860.0
30 10562.0
31 510.0
Name: (HOMEWORK, GAID), dtype: float64
但如果尝试
df.iloc[:,2] = tmp.iloc[:,2] + df.iloc[:,2]
我得到以下信息:
TypeError: Cannot convert bool to numpy.ndarray
最佳答案
sum = df['tmp'] + df['df'] # a Series
# and
df['df'] = df['tmp'] + df['df'] # assigned to a column
关于python - 如何对两个不同数据帧的两列求和？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/60169404/