Pandas `CParserError`: How to Solve 'Expected X fields, saw Y'?

pandas.parser.CParserError: The Error Tokenizing Data Enigma

When attempting to read a .csv file using the pandas library, users encounter an enigmatic error: pandas.parser.CParserError: Error tokenizing data. C error: Expected 2 fields in line 3, saw 12. Despite consulting the pandas documentation, no clear resolution is found.

The deceptively simple code snippet:

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

falls prey to this elusive error. The question arises: how to conquer this obstacle? Should alternative modules or even programming languages be considered?

A Ray of Hope

Fear not, fellow developers! The solution lies within the realm of pandas itself. By adding the following argument to the pd.read_csv() function, the error can be gracefully overcome:

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

This modification instructs pandas to disregard any lines that cause parsing issues, effectively sidestepping the problem. Additionally, if you seek more control over the handling of corrupted lines, you can define a custom callback function to provide tailored responses.

For versions of Pandas prior to 1.3.0, the following syntax applies:

data = pd.read_csv("file1.csv", error_bad_lines=False)

With these adjustments, the mysterious error vanishes, leaving you free to harness the power of pandas for your data manipulation needs.

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