Attributeerror: dataframe object has no attribute unique

Attributeerror: ‘dataframe’ object has no attribute ‘unique’

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In this article, we will help you fix the attributeerror: 'dataframe' object has no attribute 'unique'.

This is a Python error that occurs when a Pandas DataFrame object is used in a way that assumes it has a unique() method or attribute, but it doesn’t.

AttributeError and Python

What is AttributeError?

An attributeerror is an error that appears in our Python codes when we try to access an attribute of a non-existent object.

In addition, this occurs when we attempt to perform non-supported operations.

What is Python?

Python is one of the most popular programming languages. It is used for developing a wide range of applications.

In addition, Python is a high-level programming language that is usually used by developers nowadays due to its flexibility.

How to solve the error “’dataframe’ object has no attribute ‘unique’” in Python

Time needed: 2 minutes

To solve the error attributeerror: 'dataframe' object has no attribute 'unique', you have to replace the unique() method with an appropriate one.

Here are some alternative methods you can use as a replacement for the unique() method to get unique values from a DataFrame:

  1. nunique() method


    The number of unique values in each column of a DataFrame is returned by this method.

    In addition, this method can be used to determine the number of unique values inside a single column or throughout the entire DataFrame.

    Example:

    import pandas as pd

    s_df = pd.DataFrame({'x': [7, 2, 2, 1], 'y': [13, 7, 0, 1]})

    unique_values = s_df['x'].nunique()
    print(unique_values)

    Output:

    3

  2. drop_duplicates() method


    A DataFrame is returned by this method with duplicate rows removed.

    In addition, this method can be used to determine the DataFrame with only unique rows.

    Example:

    import pandas as pd

    s_df = pd.DataFrame({'x': [7, 2, 2, 1], 'y': [0, 3, 3, 1]})

    unique_df = s_df.drop_duplicates()
    print(unique_df)

    Output:

    x y
    0 7 0
    1 2 3
    3 1 1

  3. value_counts() method


    The count of each unique value in a DataFrame is returned by this method.

    In addition, this method can be used to determine a series object with the count of unique values in a definite column.

    Example:

    import pandas as pd

    s_df = pd.DataFrame({'x': [7, 2, 2, 1], 'y': [0, 3, 3, 1]})

    unique_values = s_df['x'].value_counts()
    print(unique_values)

    Output:

    2 2
    7 1
    1 1
    Name: x, dtype: int64

Conclusion

In conclusion, the error 'dataframe' object has no attribute 'unique' is quick to solve by replacing the unique() method with an appropriate one.

Following the guide above will help you fix this error in just a few minutes.

I think that is all for this article, ITSourceCoders! I hope you have learned a lot from this.

If you have any questions, please leave a comment below. And for more attribute error tutorials, visit our website!

Thank you for reading!

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