How to Fix AttributeError: ‘DataFrame’ object has no attribute ‘map’

Diagram

AttributeError: ‘DataFrame’ object has no attribute ‘map’ error typically occurs when you try to “use the map() method on a Pandas DataFrame.” The map() method is used to apply a function to each element in an iterable, but it is not defined for DataFrames.

Here are three ways to fix the AttributeError: ‘DataFrame’ object has no attribute ‘map’ error.

1. Using the map() function single column
2. Using the applymap() function on an entire DataFrame
3. Using the apply() function on an Axis of the DataFrame

Reproduce the error

import pandas as pd

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

# Apply the map method to the 'a' column
df['a'] = df.map(lambda x: x * 2)

print(df)

Output

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

How to fix it?

Solution 1: Using the map() function on DataFrame column

import pandas as pd

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

# Apply the map method to the 'a' column
df['a'] = df['a'].map(lambda x: x * 2)

print(df)

Output

Solution 2: Using the applymap() function on an Entire DataFrame

import pandas as pd

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

# Apply the function to every element in the DataFrame
df = df.applymap(lambda x: x * 2)

print(df)

Output

   a   b
0  2   8
1  4  10
2  6  12

Solution 3: Using the apply() function on an axis of a DataFrame

import pandas as pd

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

# Apply the function to each column (axis=0) or row (axis=1)
df = df.apply(lambda x: x * 2, axis=0)

print(df)

Output

   a   b 
0  2   8
1  4  10
2  6  12 

I hope this helps! Let me know if you have any other questions.

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Krunal

Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.