Get first row of dataframe in Python Pandas based on criteria

Get first row of dataframe in Python Pandas based on criteria

To get the first row of a Pandas DataFrame based on certain criteria, you can use the loc indexer along with a condition to filter the DataFrame and then select the first row. Here's an example:

import pandas as pd # Create a sample DataFrame data = {'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eve'], 'Age': [25, 30, 22, 28, 35]} df = pd.DataFrame(data) # Criteria for filtering criteria_age = 28 # Get the first row based on the criteria filtered_row = df.loc[df['Age'] == criteria_age].iloc[0] print(filtered_row)

In this example, we're filtering the DataFrame based on the age criteria (criteria_age) using the loc indexer. Then, we're using .iloc[0] to select the first row that matches the condition.

Keep in mind that if there's a chance that no rows satisfy the condition, you should check the size of the resulting filtered DataFrame before accessing the first row to avoid an IndexError.

Examples

  1. "Pandas get first row based on condition" Description: Users are searching for a way to retrieve the first row of a Pandas DataFrame that meets certain criteria. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Retrieve the first row where column 'A' equals 3 first_row = df[df['A'] == 3].iloc[0] print("First row based on condition:\n", first_row)

  2. "Python Pandas select first row by condition" Description: Users want to select the first row of a Pandas DataFrame based on a given condition. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Select the first row where column 'A' is greater than 2 first_row = df[df['A'] > 2].iloc[0] print("First row based on condition:\n", first_row)

  3. "Pandas get first row if condition met" Description: Users aim to get the first row of a Pandas DataFrame if a specific condition is met. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Get the first row where column 'A' equals 4 first_row = df[df['A'] == 4].iloc[0] print("First row based on condition:\n", first_row)

  4. "Python Pandas select first row if criteria matches" Description: Users want to select the first row of a Pandas DataFrame if certain criteria match. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Select the first row where column 'A' is less than 3 first_row = df[df['A'] < 3].iloc[0] print("First row based on condition:\n", first_row)

  5. "Pandas Python get first row if condition is true" Description: Users are looking to obtain the first row of a Pandas DataFrame if a specific condition evaluates to true. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Get the first row where column 'A' is equal to 2 first_row = df[df['A'] == 2].iloc[0] print("First row based on condition:\n", first_row)

  6. "Python Pandas retrieve first row with certain condition" Description: Users want to retrieve the first row of a Pandas DataFrame that satisfies a certain condition. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Retrieve the first row where column 'A' equals 1 first_row = df[df['A'] == 1].iloc[0] print("First row based on condition:\n", first_row)

  7. "Python Pandas select first row meeting condition" Description: Users are seeking a method to select the first row of a Pandas DataFrame that meets a specific condition. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Select the first row where column 'A' equals 1 first_row = df[df['A'] == 1].iloc[0] print("First row based on condition:\n", first_row)

  8. "Python Pandas get first row with certain criteria" Description: Users are looking for a way to get the first row of a Pandas DataFrame based on certain criteria. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Get the first row where column 'A' is equal to 3 first_row = df[df['A'] == 3].iloc[0] print("First row based on condition:\n", first_row)

  9. "Pandas Python select first row based on condition" Description: Users want to select the first row of a Pandas DataFrame based on a specific condition using Python. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Select the first row where column 'A' is equal to 4 first_row = df[df['A'] == 4].iloc[0] print("First row based on condition:\n", first_row)

  10. "Python Pandas find first row satisfying condition" Description: Users are trying to find the first row of a Pandas DataFrame that satisfies a given condition using Python. Code:

    import pandas as pd # Sample DataFrame data = {'A': [1, 2, 3, 4], 'B': ['foo', 'bar', 'baz', 'qux']} df = pd.DataFrame(data) # Find the first row where column 'A' is greater than 1 first_row = df[df['A'] > 1].iloc[0] print("First row based on condition:\n", first_row)

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