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The `error_bad_lines` parameter is used to skip rows with too many fields instead of raising an error. However, this parameter is only available in the `read_csv()` function of the Python library ‘csv’. It is not available in the `read_csv()` function of pandas.
To resolve this issue, you need to remove or correct the use of the ‘error_bad_lines’ parameter. Here’s an example:
“`python
import pandas as pd
# Incorrect usage of error_bad_lines parameter
df = pd.read_csv(‘data.csv’, error_bad_lines=False) # This will raise an error
# Correct usage without error_bad_lines parameter
df = pd.read_csv(‘data.csv’) # This will not raise an error
“`
In the example above, the incorrect usage of ‘error_bad_lines’ causes an error. By removing the ‘error_bad_lines’ parameter, the `read_csv()` function will work correctly without any unexpected keyword argument error.