ValueError: The allowed values for a DataFrame are True, False, 0, 1. Found value 2

This error message indicates that there is a value of 2 in the DataFrame where only values of True, False, 0, or 1 are allowed.

To resolve this error, you need to identify the column and row where this value is present and change it to one of the allowed values. You can use the following code to identify the row and column where the value of 2 is present:

import pandas as pd

# create a sample DataFrame
df = pd.DataFrame({'A': [True, False, 0, 1], 'B': [1, 2, 3, 4], 'C': [0, 1, 2, False]})

# identify the row and column where the value of 2 is present
row_idx, col_idx = (df == 2).values.nonzero()

print('Row index:', row_idx[0])
print('Column index:', col_idx[0])

Once you have identified the row and column where the value of 2 is present, you can change it to one of the allowed values using the following code:

# change the value to 1
df.iloc[row_idx[0], col_idx[0]] = 1

Alternatively, if you want to remove the row or column where the value of 2 is present, you can use the following code:

# remove the row where the value of 2 is present
df = df.drop(row_idx[0], axis=0)

# remove the column where the value of 2 is present
df = df.drop(df.columns[col_idx[0]], axis=1)