用 Pandas 加载 .dat 文件，制作两列，其中 '\\' 是分隔符

Question

How to load .dat file in two columns with slash as separator with pandas library?

0     NaN\t1.000000      NaN
1     0.00\t-3.0         NaN
2     0.04\t-4.9         NaN
3     0.08\t-4.47        NaN

With code:

df = pd.read_csv("dummy.dat", sep="\",skiprows = 0)

I get an error

File "<ipython-input-7-8a49552b5bf1>", line 6 df = pd.read_csv("dummy.dat", sep="\", header=None, skiprows=0) ^ 

SyntaxError: EOL while scanning string literal

Answer 1

Look at your syntax highlighting, it is your friend:

df = pd.read_csv("dummy.dat", sep="\",skiprows = 0)

See how the right bracket after skiprows is not coloured the same was as the opening bracket? That's a hint that there is a problem in between.

Using separator="\\" you have escaped the " rather than making a closing quote. Compare it with

df = pd.read_csv("dummy.dat", sep="\"",skiprows = 0)

In any case, your separator is \\t not \\ , for at least part of your data, so try

df = pd.read_csv("dummy.dat", sep='\t',skiprows = 0)

You should clean up your data before importing it, however. It looks like you have a mix of tab characters (we can see between columns) and escaped tabs (which we see between columns 2 and 3, as in 0.00\\t-3.0 ). If you convert those escaped \\t to actual tabs.