vastorbit.VastColumn.min¶

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

Aggregates the VastFrame by applying the MIN aggregation, which calculates the minimum value, for the input column. This aggregation provides insights into the lowest values within the dataset, aiding in understanding the data distribution.

Returns:: minimum
Return type:: PythonScalar

Examples

For this example, let’s generate a dataset and calculate the minimum 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"].min()

Note

All the calculations are pushed to the database.

Hint

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