在 python 中拆分 dataframe 中的空格分隔值列

Question

I have dataframe with two columns with several values,devided by space:

first_column             second_column
Arkhangelsk P BP -       2.4 3.0 4.8 22.2
Koryazhma N - -          1.5 0.5 5.0 5.8

I need to devide tables in 8 columns:

0           1 2  3 4   5   6   7
Arkhangelsk P BP - 2.4 3.0 4.8 22.2
Koryazhma   N -  - 1.5 0.5 5.0 5.8

How should I solve this problem?

Answer 1

try:

d1 = df['first_column'].str.split(' ', expand=True)
d2 = df['second_column'].str.split(' ', expand=True)
d2.columns = d1.columns + d1.shape[1]
res = pd.concat([d1,d2],axis=1)

res:

	0	1	2	3	4	5	6	7
0	Arkhangelsk	P	BP	-	2.4	3.0	4.8	22.2
1	Koryazhma	N	-	-	1.5	0.5	5.0	5.8

Answer 2

Are you importing this data from a csv? Because it seems you could use a sep = " " in the argument section of your pd.read_csv.