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verticapy.vDataColumn.memory_usage

vDataColumn.memory_usage() float

Returns the vDataColumn memory usage.

Returns

float

vDataColumn memory usage (byte)

Examples

Let’s begin by importing VerticaPy.

import verticapy as vp

Hint

By assigning an alias to verticapy, we mitigate the risk of code collisions with other libraries. This precaution is necessary because verticapy 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 verticapy are used as intended without interfering with functions from other libraries.

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

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

We can see the memory usage of the vDataColumn using:

vdf["val"].memory_usage()
Out[2]: 1777

See also

vDataFrame.memory_usage() : vDataFrame memory usage.
vDataFrame.explain() : Information on how. Vertica is computing the current vDataFrame relation.