reshape

pylibcudf.reshape.interleave_columns(Table source_table) → Column

Interleave columns of a table into a single column.

Converts the column major table input into a row major column.

Example: in = [[A1, A2, A3], [B1, B2, B3]] return = [A1, B1, A2, B2, A3, B3]

For details, see interleave_columns().

Parameters:

source_table: Table

The input table to interleave

Returns:

Column

A new column which is the result of interleaving the input columns

pylibcudf.reshape.table_to_array(Table input_table, uintptr_t ptr, size_t size, Stream stream=None) → void

Copy a table into a preallocated column-major device array.

Parameters:

input_tableTable

A table with fixed-width, non-nullable columns of the same type.

ptruintptr_t

A device pointer to the beginning of the output buffer.

sizesize_t

The total number of bytes available at ptr. Must be at least num_rows * num_columns * sizeof(dtype).

streamStream | None

CUDA stream on which to perform the operation.

pylibcudf.reshape.tile(Table source_table, size_type count) → Table

Repeats the rows from input table count times to form a new table.

For details, see tile().

Parameters:

source_table: Table

The input table containing rows to be repeated

count: size_type

The number of times to tile “rows”. Must be non-negative

Returns:

Table

The table containing the tiled “rows”