Pandas, multiply all the numeric values in the data frame by a constant

Pandas, multiply all the numeric values in the data frame by a constant

You can multiply all the numeric values in a Pandas DataFrame by a constant using the .applymap() function. Here's how you can do it:

import pandas as pd # Create a sample DataFrame data = { 'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9] } df = pd.DataFrame(data) # Constant to multiply with constant = 2 # Multiply all numeric values by the constant using applymap result_df = df.applymap(lambda x: x * constant if pd.api.types.is_numeric_dtype(x) else x) print("Original DataFrame:") print(df) print("\nDataFrame after multiplication:") print(result_df)

In this example, the applymap() function is used with a lambda function. The lambda function checks if the value is of numeric type using pd.api.types.is_numeric_dtype(), and if so, it multiplies the value by the constant. If the value is not numeric, it remains unchanged.

The result_df will contain the DataFrame with all numeric values multiplied by the constant.

Examples

  1. "Pandas multiply all numeric values in DataFrame by constant"

    Description: This query seeks to multiply all numeric values in a Pandas DataFrame by a constant factor.

    import pandas as pd # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply all numeric values by a constant constant = 2 df *= constant

  2. "Pandas multiply all numeric values in DataFrame by scalar"

    Description: This query is about multiplying all numeric values in a Pandas DataFrame by a scalar value.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply all numeric values by scalar scalar = 1.5 df *= scalar

  3. "Pandas multiply DataFrame values by constant"

    Description: This query aims to multiply all values in a Pandas DataFrame by a constant factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply DataFrame values by constant constant = 3 df = df.applymap(lambda x: x * constant if pd.api.types.is_numeric_dtype(x) else x)

  4. "Pandas apply scalar multiplication to DataFrame"

    Description: This query looks into applying scalar multiplication to all numeric values in a Pandas DataFrame.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Apply scalar multiplication to DataFrame scalar = 0.5 df = df * scalar

  5. "Pandas multiply all numeric DataFrame values by factor"

    Description: This query intends to multiply all numeric values in a Pandas DataFrame by a given factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply all numeric DataFrame values by factor factor = 1.2 df.update(df.select_dtypes(include='number').mul(factor))

  6. "Pandas multiply all numeric values in DataFrame by constant factor"

    Description: This query aims to multiply all numeric values in a Pandas DataFrame by a constant factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply all numeric values by constant factor constant_factor = 1.5 df = df.apply(lambda x: x * constant_factor if pd.api.types.is_numeric_dtype(x) else x)

  7. "Pandas multiply DataFrame elements by constant"

    Description: This query is about multiplying all elements in a Pandas DataFrame by a constant factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply DataFrame elements by constant constant = 1.5 df = df.multiply(constant)

  8. "Pandas scale DataFrame by constant"

    Description: This query explores scaling (multiplying) all values in a Pandas DataFrame by a constant factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Scale DataFrame by constant constant = 0.8 df *= constant

  9. "Pandas element-wise multiplication DataFrame by constant"

    Description: This query looks into performing element-wise multiplication of all DataFrame values by a constant factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Element-wise multiplication DataFrame by constant constant = 2 df = df.apply(lambda x: x * constant if pd.api.types.is_numeric_dtype(x) else x)

  10. "Pandas multiply all numeric DataFrame values by given factor"

    Description: This query involves multiplying all numeric values in a Pandas DataFrame by a specific factor.

    # Example DataFrame df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # Multiply all numeric DataFrame values by given factor factor = 0.75 df *= factor

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