pandas read_csv() for multiple delimiters

Question

I have a file which has data as follows

1000000 183:0.6673;2:0.3535;359:0.304;363:0.1835
1000001 92:1.0
1000002 112:1.0
1000003 154435:0.746;30:0.3902;220:0.         


        

Answer 1

From this question, Handling Variable Number of Columns with Pandas - Python, one workaround to pandas.errors.ParserError: Expected 29 fields in line 11, saw 45. is let read_csv know about how many columns in advance.

my_cols = [str(i) for i in range(45)] # create some col names
df_user_key_word_org = pd.read_csv(filepath+"user_key_word.txt",
                                   sep="\s+|;|:",
                                   names=my_cols, 
                                   header=None, 
                                   engine="python")
# I tested with s = StringIO(text_from_OP) on my computer

Hope this works.