NaN and NA
Using the Kotlin DataFrame library, you might come across the terms NaN
and NA
. This page explains what they mean and how to work with them.
NaN
Float
or Double
values can be represented as NaN
, in cases where a mathematical operation is undefined, such as for dividing by zero. The result of such an operation can only be described as " Not a Number".
This is different from null
, which means that a value is missing and, in Kotlin, can only occur for Float?
and Double?
types.
You can use fillNaNs to replace NaNs
in certain columns with a given value or expression or dropNaNs to drop rows with NaNs
in them.
NA
NA
in Dataframe can be seen as: NaN
or null
. Which is another way to say that the value is " Not Available".
You can use fillNA to replace NAs
in certain columns with a given value or expression or dropNA to drop rows with NAs
in them.