TypeError: int() argument must be a string, a bytes-like object or a number, not 'DataFrame'

This error occurs when you pass a Pandas DataFrame object as an argument to the int() function. The int() function can only accept a string, bytes-like object or a number as its argument.

To fix this error, you need to ensure that you are passing a valid argument to the int() function. If you are trying to convert a column of a DataFrame to integer values, you can use the astype() method to convert the column to an integer data type. For example:

import pandas as pd

# create a DataFrame
df = pd.DataFrame({'col1': ['1', '2', '3'], 'col2': ['4', '5', '6']})

# convert 'col1' to integer data type
df['col1'] = df['col1'].astype(int)

In this example, the astype() method is used to convert the 'col1' column to integer data type. This will ensure that the int() function can be used on this column without raising the TypeError.