pandas.read_csv没有以分号分隔符分区数据

Question

I'm having a tough time correctly loading csv file to pandas dataframe. The file is csv saved in MS Excel, where the rows looks like this:

Montservis, s.r.o.;"2 012";"-14.98";"-34.68";"- 11.7";"0.02";"0.09";"0.16";"284.88";"10.32";"

I am using

filep="file_name.csv"
raw_data = pd.read_csv(filep,engine="python",index_col=False, header=None, delimiter=";")

(I have tried several combinations and alternatives of read_csv arguments, but without any success.....I have tried also read_table )

What I want to see in my dataframe that each semi colon separated value will be in separate column (I understand that read_csv works this way(?)).

Unfortunately, I always end up with whole row being placed in first column of dataframe. So basicly after loading I have many rows, but only one column (two if I count also indexes)

I have placed sample here: datafile

Any idea welcomed.

Answer 1

问题是包含\\字符可以忽略的字符。

raw_data = pd.read_csv(filep,engine="python",index_col=False, header=None, delimiter='\;')

Answer 2

Add quoting = 3 . 3 is for QUOTE_NONE refer this .

   raw_data = pd.read_csv(filep,engine="python",index_col=False, header=None, delimiter=";", quoting = 3)

This will give [7 rows x 23 columns] dataframe