如何读取 pandas 中空格分隔值的文件

Question

I try to read the file into pandas. The file has values separated by space, but with different number of spaces I tried:

pd.read_csv('file.csv', delimiter=' ')

but it doesn't work

Answer 1

添加delim_whitespace=True参数，它比正则表达式快。

Answer 2

您可以使用正则表达式作为分隔符：

pd.read_csv("whitespace.csv", header=None, delimiter=r"\s+")

Answer 3

If you can't get text parsing to work using the accepted answer (eg if your text file contains non uniform rows) then it's worth trying with Python's csv library - here's an example using a user defined Dialect :

 import csv

 csv.register_dialect('skip_space', skipinitialspace=True)
 with open(my_file, 'r') as f:
      reader=csv.reader(f , delimiter=' ', dialect='skip_space')
      for item in reader:
          print(item)

Answer 4

Pandas read_fwf for the win:

import pandas as pd

df = pd.read_fwf(file_path)

Answer 5

You can pass a regular expression as a delimiter for read_table also, and it is fast:).

result = pd.read_table('file', sep='\s+')