[英]Remove subdirectories from String in Dataframe Column in Python
I am trying to use l and rsplit to remove the subdirectories from this dataframe and preserve just the file name in the dataframe's column. 我正在尝试使用l和rsplit从此数据帧中删除子目录,并仅在数据帧的列中保留文件名。
import pandas as pd
data = ['D:/xyz/abc/123/file_1.txt', 'D:/xyz/abc/file2.txt', 'D:/xyz/file_2.txt']
data = pd.DataFrame(data)
data[0].str.rsplit('/').str[3]
Returns: 返回值:
Out[1]:
0 123
1 file2.txt
2 NaN
Name: 0, dtype: object
As you can see, this does not preserve just the txt file names regardless of the str[]
function. 如您所见,无论
str[]
函数如何,它都不会仅保留txt文件名。
Desired output: 所需的输出:
Out[1]:
0 file_1.txt
1 file2.txt
2 file_2.txt
Name: 0, dtype: object
Any insight would be appreciated. 任何见识将不胜感激。 Thanks.
谢谢。
Try rsplit
with limit 1 and pick last item 尝试使用限制1的
rsplit
并选择最后一项
data[0].str.rsplit('/', n=1).str[-1]
Out[194]:
0 file_1.txt
1 file2.txt
2 file_2.txt
Name: 0, dtype: object
Can use os.path.split
to get the last section of the path 可以使用
os.path.split
来获取路径的最后一部分
https://docs.python.org/3.3/library/os.path.html?highlight=path#os.path.split https://docs.python.org/3.3/library/os.path.html?highlight=path#os.path.split
import os
f = lambda x: os.path.split(x)[1]
data[0] = data[0].map(f)
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