transformations

Complete guide to data transformations in Ray Data.

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Content

# Ray Data Transformations

Complete guide to data transformations in Ray Data.

## Core operations

### Map batches (vectorized)

```python
# Recommended for performance
def process_batch(batch):
    # batch is dict of numpy arrays or pandas Series
    batch["doubled"] = batch["value"] * 2
    return batch

ds = ds.map_batches(process_batch, batch_size=1000)
```

**Performance**: 10-100× faster than row-by-row

### Map (row-by-row)

```python
# Use only when vectorization not possible
def process_row(row):
    row["squared"] = row["value"] ** 2
    return row

ds = ds.map(process_row)
```

##

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