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TensorFlow Arrow Blog Part 2 - ArrowDataset
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| import tensorflow_io.arrow as arrow_io | |
| ds = arrow_io.ArrowDataset.from_pandas( | |
| df, | |
| batch_size=2, | |
| preserve_index=False) | |
| # Make an iterator to the dataset | |
| ds_iter = iter(ds) | |
| # Print the first batch | |
| print(next(ds_iter)) | |
| #(<tf.Tensor: id=43, shape=(2, 2), dtype=float64, | |
| # numpy=array([[1.07302346, 1.38554093], | |
| # [-0.8594516, -0.6890264]])>, | |
| # <tf.Tensor: id=44, shape=(2,), dtype=int64, | |
| # numpy=array([1, 0])>) |
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