Resolve 'AttributeError' by Using pd.concat in Pandas

AttributeError: 'DataFrame' object has no attribute 'append'

The error message you're seeing, AttributeError: 'DataFrame' object has no attribute 'append', indicates that you are trying to use the append method on a pandas DataFrame, but it is not available. This could be due to a few reasons:

1. Pandas Version: The append method was deprecated in pandas version 1.4.0 and removed in version 2.0.0. If you are using a version of pandas that is 2.0.0 or later, the append method will not be available.

2. Typo or Incorrect Object: Ensure that you are working with a pandas DataFrame and not some other type of object.

To resolve this issue, you can use the pd.concat function, which is the recommended way to concatenate DataFrames in recent versions of pandas. Here is an example of how to use pd.concat:

Example

Suppose you have two DataFrames, df1 and df2, and you want to append df2 to df1.

import pandas as pd

# Sample DataFrames
df1 = pd.DataFrame({
    'A': [1, 2, 3],
    'B': [4, 5, 6]
})

df2 = pd.DataFrame({
    'A': [7, 8, 9],
    'B': [10, 11, 12]
})

# Using pd.concat to append df2 to df1
result = pd.concat([df1, df2], ignore_index=True)

print(result)

Explanation

• pd.concat([df1, df2]): Concatenates df1 and df2 along the default axis (rows).
• ignore_index=True: Resets the index in the resulting DataFrame.

Updating Pandas

If you are using an older version of pandas and want to update to the latest version, you can do so using pip:

pip install --upgrade pandas

After updating, you can use pd.concat as shown in the example above.

Summary

• Use pd.concat instead of append for concatenating DataFrames.
• Ensure you are using a compatible version of pandas.
• Check for typos or incorrect object types.