Pandas Dataframe Find Rows Where all Columns Equal

Pandas Dataframe Find Rows Where all Columns Equal

To find rows in a Pandas DataFrame where all columns have equal values, you can use the .all() method along with boolean indexing. Here's how you can achieve this:

import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3], 'B': [1, 1, 3], 'C': [1, 1, 1]} df = pd.DataFrame(data) # Find rows where all columns have equal values equal_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] print(equal_rows) 

In this example, the .eq() method is used to compare each column with the first column along the rows. The .all(axis=1) method is then used to check if all comparisons along the columns for each row are True.

The resulting equal_rows DataFrame will contain rows where all columns have equal values.

The output will be:

 A B C 0 1 1 1 1 2 1 1 

This approach allows you to find rows where all columns have equal values, and you can adjust the comparison based on your specific requirements.

Examples

  1. How to find rows in Pandas DataFrame where all columns have the same value?

    • Description: This query aims to identify rows in a Pandas DataFrame where all columns have identical values.
    import pandas as pd # Find rows where all columns have the same value same_value_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  2. Pandas DataFrame find rows where all elements are equal?

    • Description: This query looks for a method to locate rows in a Pandas DataFrame where all elements across columns are the same.
    import pandas as pd # Find rows where all elements are equal across columns equal_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  3. How to locate rows where all columns in Pandas DataFrame have the same value?

    • Description: This query seeks a way to pinpoint rows in a Pandas DataFrame where all columns contain identical values.
    import pandas as pd # Locate rows where all columns have the same value same_value_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  4. Find rows in Pandas DataFrame where all values are equal across columns?

    • Description: This query aims to find rows in a Pandas DataFrame where all values across columns are the same.
    import pandas as pd # Find rows where all values are equal across columns equal_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  5. How to identify rows in Pandas DataFrame with identical values across all columns?

    • Description: This query looks for a method to identify rows in a Pandas DataFrame where all columns contain the same value.
    import pandas as pd # Identify rows with identical values across all columns identical_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  6. Pandas DataFrame find rows where all entries are equal to a specific value?

    • Description: This query seeks a way to find rows in a Pandas DataFrame where all entries are equal to a specified value.
    import pandas as pd # Find rows where all entries are equal to a specific value equal_rows = df[df.eq(value).all(axis=1)] 
  7. How to check for rows where all elements are the same in Pandas DataFrame?

    • Description: This query aims to check for rows in a Pandas DataFrame where all elements are identical across columns.
    import pandas as pd # Check for rows where all elements are the same same_value_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  8. Pandas DataFrame find rows with uniform values across columns?

    • Description: This query looks for a method to find rows in a Pandas DataFrame where all values are uniform across columns.
    import pandas as pd # Find rows with uniform values across columns uniform_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 
  9. How to find rows in Pandas DataFrame where all columns match a given value?

    • Description: This query seeks a way to find rows in a Pandas DataFrame where all columns match a specified value.
    import pandas as pd # Find rows where all columns match a given value matching_rows = df[df.eq(value).all(axis=1)] 
  10. Pandas DataFrame find rows where all values are identical?

    • Description: This query aims to find rows in a Pandas DataFrame where all values across columns are identical.
    import pandas as pd # Find rows where all values are identical identical_rows = df[df.eq(df.iloc[:, 0], axis=0).all(axis=1)] 

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