isEmpty

Returns true if this DataFrame has no rows or no columns.

Removing all columns with remove keeps the number of rows, so a DataFrame can have rows and no columns. Such a DataFrame holds no values, so it counts as empty as well as one without rows.

A ColumnGroup is a DataFrame too, and both cases apply to it: a column group is empty when it has no nested columns, or when the DataFrame that holds it has no rows.

Nested DataFrames of a FrameColumn are not taken into account: a DataFrame whose frame column holds only empty DataFrames is not empty itself.

For more information: See isEmpty on the documentation website.

See also:

• isNotEmpty — the opposite check.

• rowsCount and columnsCount — the two numbers behind it.

• DataFrame.Empty, DataFrame.empty and emptyDataFrame — create an empty DataFrame.

Example

The examples below use this DataFrame, the same data as the isEmpty page on the documentation website:

df.isEmpty() // false
df.filter { age > 100 }.isEmpty() // true: no row is left
df.remove { all() }.isEmpty() // true: no column is left, while both rows are still there

values().all { it == null }