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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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