Python Pandas Error tokenizing data

I'm trying to use pandas to manipulate a .csv file but I get this error:

pandas.parser.CParserError: Error tokenizing data. C error: Expected 2 fields in line 3, saw 12

I have tried to read the pandas docs, but found nothing.

My code is simple:

path = 'GOOG Key Ratios.csv'
#print(open(path).read())
data = pd.read_csv(path)

How can I resolve this? Should I use the csv module or another language ?

File is from Morningstar

you could also try;

data = pd.read_csv('file1.csv', on_bad_lines='skip')

Do note that this will cause the offending lines to be skipped.

It might be an issue with

• the delimiters in your data
• the first row, as @TomAugspurger noted

To solve it, try specifying the sep and/or header arguments when calling read_csv. For instance,

df = pandas.read_csv(filepath, sep='delimiter', header=None)

In the code above, sep defines your delimiter and header=None tells pandas that your source data has no row for headers / column titles. Thus saith the docs: "If file contains no header row, then you should explicitly pass header=None". In this instance, pandas automatically creates whole-number indices for each field {0,1,2,...}.

According to the docs, the delimiter thing should not be an issue. The docs say that "if sep is None [not specified], will try to automatically determine this." I however have not had good luck with this, including instances with obvious delimiters.

Another solution may be to try auto detect the delimiter

# use the first 2 lines of the file to detect separator
temp_lines = csv_file.readline() + '\n' + csv_file.readline()
dialect = csv.Sniffer().sniff(temp_lines, delimiters=';,')

# remember to go back to the start of the file for the next time it's read
csv_file.seek(0) 

df = pd.read_csv(csv_file, sep=dialect.delimiter)