如何读取txt.file中没有分隔符或固定宽度的数据框

Question

I'm working on a raw data which is a text file. However, it doesn't have separator or fixed width. Each column has different length. For example, the length of column 1 is 12; the length of column 2 is 5; and so forth.

I was wondering is there a function from some packages that can handle this kind of file given the length of each column. One way I think that may work is using regular expression to iterate each row and column.

Answer 1

This is still a fixed width file (that just means size of each field is fixed, it does not have to be equal). So you can use pandas.read_fwf , with the widths argument as [21,5,5,12...] to read this. https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_fwf.html

Answer 2

The easiest way, assuming there are no separators , would just be to hard code the string slices:

with open("text.txt", "r+") as fh:
  for row in fh:
    row.write(row[0:12]+","+row[12:17]+","+row[17:23]... ) #finish

Then you could just specify the separator when you create the dataframe.