问题
我想将 pandas 数据框中的一列拆分为 2 列，在百分比列(见下文)中，每个条目都以大写字母字符开头，我想在这封信之后立即拆分“百分比”列，新列标记为“氨基酸”。
当前代码:
import pandas as pd
df = pd.read_csv('foo.csv')
df['Amino Acid'], df['Percentage'] = zip(*df['Percentage'].map(lambda x: x.split('[^a-zA-Z]')))
df.to_csv('bar.csv',index=False)
输入数据示例
+-----------------------------+-------+-----+-----------+---------------------------------------------------------------------------------------------+
| Species | ID | OGT | DB | Percentage |
+-----------------------------+-------+-----+-----------+---------------------------------------------------------------------------------------------+
| Halogeometricum borinquense | 60847 | 37 | ATCC/DSMZ | E is 8.333003365670164% in ./archaea/GCF_000337855.1/GCF_000337855.1_ASM33785v1_protein.faa |
| Halogeometricum borinquense | 60847 | 37 | ATCC/DSMZ | R is 6.310991522830762% in ./archaea/GCF_000337855.1/GCF_000337855.1_ASM33785v1_protein.faa |
| Halogeometricum borinquense | 60847 | 37 | ATCC/DSMZ | A is 10.22668778459711% in ./archaea/GCF_000337855.1/GCF_000337855.1_ASM33785v1_protein.faa |
+-----------------------------+-------+-----+-----------+---------------------------------------------------------------------------------------------+
所需输出示例
+-----------------------------+-------+-----+-----------+------------+--------------------------------------------------------------------------------------------+
| Species | ID | OGT | DB | Amino Acid | Percentage |
+-----------------------------+-------+-----+-----------+------------+--------------------------------------------------------------------------------------------+
| Halogeometricum borinquense | 60847 | 37 | ATCC/DSMZ | E | is 8.333003365670164% in ./archaea/GCF_000337855.1/GCF_000337855.1_ASM33785v1_protein.faa |
| Halogeometricum borinquense | 60847 | 37 | ATCC/DSMZ | R | is 6.310991522830762% in ./archaea/GCF_000337855.1/GCF_000337855.1_ASM33785v1_protein.faa |
| Halogeometricum borinquense | 60847 | 37 | ATCC/DSMZ | A | is 10.22668778459711% in ./archaea/GCF_000337855.1/GCF_000337855.1_ASM33785v1_protein.faa |
+-----------------------------+-------+-----+-----------+------------+--------------------------------------------------------------------------------------------+
最佳答案
可以直接提取第一个字母:
df['Amino Acid'] = df['Percentage'].str[0]
df['Percentage'] = df['Percentage'].str[1:]
关于python - 在单元格中的第一个字母之后拆分 Pandas 数据框列(一分为二)，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/51243702/