vastorbit.VastColumn.memory_usage¶

VastColumn.memory_usage() → float¶

Returns the VastColumn memory usage.

Returns:: VastColumn memory usage (byte)
Return type:: float

Examples

Let’s begin by importing vastorbit.

import vastorbit as vo

Hint

By assigning an alias to vastorbit, we mitigate the risk of code collisions with other libraries. This precaution is necessary because vastorbit uses commonly known function names like “average” and “median”, which can potentially lead to naming conflicts. The use of an alias ensures that the functions from vastorbit are used as intended without interfering with functions from other libraries.

Let us create a dummy dataset and check its memory usage:

vdf = vo.VastFrame({"val": [0, 10, 20]})

	123 val Integer
1	0
2	10
3	20

Rows: 1-3 | Column: val | Type: integer

We can see the memory usage of the VastColumn using:

vdf["val"].memory_usage()