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torcharrow

The torcharrow package contains data structures for two-dimensional, potentially heterogeneous tabular data, denoted as dataframe. It also defines relational operations over these dataframes. Additionally, it provides utilities for conversion with other formats (especially zero-copy conversion with Arrow arrays), and other useful utilities.

Creation and Conversion Ops

column([data, dtype, device])

Creates a TorchArrow Column.

dataframe([data, dtype, columns, device])

Creates a TorchArrow DataFrame.

from_arrow(data[, dtype, device])

Convert arrow array/table to a TorchArrow Column/DataFrame.

Column.to_arrow()

Convert self to arrow array

Mutating Ops

concat(columns)

Returns concatenated columns.

if_else(cond, left, right)

Return a column of elements where each of them is selected from either left column or righ column, depending on the value in the corresponding position in cond column.

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