AttributeError: ‘DataFrame’ object has no attribute ‘reshape’ error typically occurs when you try to “use the reshape() method on a Pandas DataFrame.” The reshape() method is used to change the shape of a NumPy array, but it is not defined for DataFrames.
To fix the AttributeError: ‘DataFrame’ object has no attribute ‘reshape’ error, you can use the “pivot()”, “melt()”, “.values” or other reshaping methods provided by Pandas, depending on what you want to achieve.
Reproduce the error
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3, 4], 'b': [5, 6, 7, 8]})
df1 = df.reshape()
print(df1)Output
AttributeError: 'DataFrame' object has no attribute 'reshape'
How to fix it?
Here are three ways to fix the AttributeError: ‘DataFrame’ object has no attribute ‘reshape’ error.
- Using “df[‘col’].values.reshape()”
- Using “df.pivot()”
- Using “df.melt()”
Solution 1: Using df[‘col’].values.reshape() method
The easiest solution to fix the error is using the reshape() function on the values of the columns, not the entire dataframe or series.
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3, 4], 'b': [5, 6, 7, 8], c: [9, 10, 11, 12]})
reshaped_df = df['b'].values.reshape(2, 2)
print(reshaped_df)
Output
[[5 6]
[7 8]]
Solution 2: Using the df.pivot() method
The pivot() method ” converts a long-form DataFrame, where each row represents a single observation, into a wide-form DataFrame, where each unique value in a column becomes a new column in the resulting DataFrame.”
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3, 4],
'b': [5, 6, 7, 8],
'c': [9, 10, 11, 12]})
reshaped_df = df.pivot(index='a', columns='b', values='c')
print(reshaped_df)Output
Solution 3: Using the df.melt() method
The df.melt() method is used to do the opposite, converting a wide-form DataFrame into a long-form DataFrame.
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3, 4],
'b': [5, 6, 7, 8],
'c': [9, 10, 11, 12]})
df_melted = df.melt(id_vars='a', value_vars=['b', 'c'])
print(df_melted)
Output
That’s it!
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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.
