vastorbit.VastColumn.max¶

VastColumn.max() → Annotated[bool | float | str | timedelta | datetime, 'Python Scalar']¶

Aggregates the VastFrame by applying the ‘MAX’ aggregation, which calculates the maximum value, for the input column. This aggregation provides insights into the highest values within the dataset, aiding in understanding the data distribution.

Returns:: maximum
Return type:: PythonScalar

Examples

For this example, let’s generate a dataset and calculate the maximum of a column:

import vastorbit as vo

data = vo.VastFrame(
    {
        "x": [1, 2, 4, 9, 10, 15, 20, 22],
        "y": [1, 2, 1, 2, 1, 1, 2, 1],
        "z": [10, 12, 2, 1, 9, 8, 1, 3],
    }
)
data["x"].max()

Note

All the calculations are pushed to the database.

Hint

For more precise control, please refer to the aggregate method.