您好，我以 DataFrame 的形式读取 Excel 文件，其行包含多个值。 df 的形状如下:
Welding
0 65051020 ...
1 66053510 66053550 ...
2 66553540 66553560 ...
3 67053540 67053505 ...
现在我想拆分每一行并将每个条目写入自己的行，例如
Welding
0 65051020
1 66053510
2 66053550
....
n 67053505
我试过了:
[new.append(df.loc[i,"Welding"].split()) for i in range(len(df))]
df2=pd.DataFrame({"Welding":new})
print(df2)
Welding
0 66053510
1 66053550
2 66053540
3 66053505
4 66053551
5 [65051020, 65051010, 65051030, 65051035, 65051...
6 [66053510, 66053550, 66053540, 66053505, 66053...
7 [66553540, 66553560, 66553505, 66553520, 66553...
8 [67053540, 67053505, 67057505]
9 [65051020, 65051010, 65051030, 65051035, 65051...
10 [66053510, 66053550, 66053540, 66053505, 66053...
11 [66553540, 66553560, 66553505, 66553520, 66553...
12 [67053540, 67053505, 67057505]
13 [65051020, 65051010, 65051030, 65051035, 65051...
14 [66053510, 66053550, 66053540, 66053505, 66053...
15 [66553540, 66553560, 66553505, 66553520, 66553...
16 [67053540, 67053505, 67057505]
但这并没有返回预期的结果。
感谢每一个帮助!
最佳答案
df = df['Welding'].str.split(expand=True).stack().reset_index(drop=True).to_frame('Welding')
print (df)
Welding
0 65051020
1 66053510
2 66053550
3 66553540
4 66553560
5 67053540
6 67053505
关于python - 为 df rows 中的每个条目创建单行，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/46400926/