跟进这个问题;保存笨拙1数组的最佳方法?
保存多列嵌套的尴尬1 数组(长度不同);
import awkward1 as ak
dog = ak.from_iter([[1, 2], [5]])
cat = ak.from_iter([[4]])
pets = ak.zip({"dog": dog[np.newaxis], "cat": cat[np.newaxis]}, depth_limit=1)
ak.to_parquet(pets, "pets.parquet")
不幸的是,这似乎不适用于平面列表。
import awkward1 as ak
dog = ak.from_iter([1, 2, 5])
cat = ak.from_iter([4])
pets = ak.zip({"dog": dog[np.newaxis], "cat": cat[np.newaxis]}, depth_limit=1)
ak.to_parquet(pets, "pets.parquet")
创建错误;
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-31-7f3a7fefb261> in <module>
3 cat = ak.from_iter([3])
4 pets = ak.zip({"dog": dog[np.newaxis], "cat": cat[np.newaxis]}, depth_limit=1)
----> 5 ak.to_parquet(pets, "pets.parquet")
~/Programs/anaconda3/envs/tree/lib/python3.7/site-packages/awkward/operations/convert.py in to_parquet(array, where, explode_records, list_to32, string_to32, bytestring_to32, **options)
2983 layout = to_layout(array, allow_record=False, allow_other=False)
2984 iterator = batch_iterator(layout)
-> 2985 first = next(iterator)
2986
2987 if "schema" not in options:
~/Programs/anaconda3/envs/tree/lib/python3.7/site-packages/awkward/operations/convert.py in batch_iterator(layout)
2978 )
2979 yield pyarrow.RecordBatch.from_arrays(
-> 2980 pa_arrays, schema=pyarrow.schema(pa_fields)
2981 )
2982
~/Programs/anaconda3/envs/tree/lib/python3.7/site-packages/pyarrow/table.pxi in pyarrow.lib.RecordBatch.from_arrays()
TypeError: object of type 'pyarrow.lib.Tensor' has no len()
遇到此错误的原因是什么?