vastorbit.VastColumn.count¶
- VastColumn.count() int¶
This operation aggregates the VastFrame using the
COUNTaggregation, providing the count of non-missing values for the input column. This is valuable for assessing data completeness and quality.- Returns:
number of non-Missing elements.
- Return type:
int
Examples
For this example, let’s generate a dataset and calculate the count 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"].count()
Note
All the calculations are pushed to the database.
Hint
For more precise control, please refer to the
aggregatemethod.See also
VastFrame.count(): Count for particular columns.VastFrame.count_percent(): Percentage count for particular columns.