Explanation:
The error message “TypeError: read_csv() got an unexpected keyword argument ‘error_bad_lines'” occurs when the read_csv()
function in pandas is being called with an invalid keyword argument error_bad_lines
. This means that the error_bad_lines
argument is not a valid argument for the read_csv()
function.
Examples:
Let’s consider an example to understand it better:
# Import the pandas library
import pandas as pd
# Create a DataFrame
data = {'Name': ['John', 'Emma', 'Sam'],
'Age': [25, 28, 30]}
df = pd.DataFrame(data)
# Save the DataFrame to a CSV file
df.to_csv('data.csv', index=False)
# Read the CSV file with error_bad_lines argument
df = pd.read_csv('data.csv', error_bad_lines=False) # This will throw the error
# Correct way to read the CSV file
df = pd.read_csv('data.csv')
In the above example, we first create a DataFrame and save it to a CSV file named ‘data.csv’. Then, we try to read the CSV file using the read_csv()
function and pass error_bad_lines=False
as an argument, which is not a valid argument for read_csv()
. This will result in the mentioned error.
To resolve the error, we need to remove the error_bad_lines=False
argument from the read_csv()
function call or use the correct arguments based on the pandas documentation.
# Correct way to read the CSV file
df = pd.read_csv('data.csv')
In the corrected code above, we removed the invalid argument error_bad_lines=False
and now the read_csv()
function will execute without any error.