DataFrame.append() Migration Guide
Notice: DataFrame.append() is Removed
The df.append() method was deprecated and permanently removed in Pandas 2.0. If you run legacy code using append(), Python will raise an AttributeError.
All row-adding and concatenation tasks should now use the high-performance pd.concat() function:
Why Old Code Fails (Legacy Reference)
Previously, developers used to append rows or dictionaries directly to a DataFrame using the instance method:
# LEGACY CODE (DO NOT USE IN PANDAS 2.0+)
import pandas as pd
df = pd.DataFrame({'Name': ['Ravi'], 'Marks': [85]})
new_row = {'Name': 'Raju', 'Marks': 90}
# This will throw an AttributeError in modern Pandas
# df = df.append(new_row, ignore_index=True)
Error Raised:
AttributeError: 'DataFrame' object has no attribute 'append'How to Fix It with pd.concat()
To achieve the exact same result in modern Pandas, wrap your dictionary into a single-row DataFrame and pass it to pd.concat():
# MODERN PANDAS 2.0+ EQUIVALENT
import pandas as pd
df = pd.DataFrame({'Name': ['Ravi'], 'Marks': [85]})
new_row_df = pd.DataFrame([{'Name': 'Raju', 'Marks': 90}])
# Use pd.concat instead
df = pd.concat([df, new_row_df], ignore_index=True)
print(df)
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Subhendu Mohapatra
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