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As I mentioned in #80, a change introduced after 0.2.2 breaks a previously working serialized function call that relied on importing pandas. My suspicion is that serialization of functions that utilize pandas may be broken in recent versions of cloudpickle.
Full backtrace from Dask/prep.py:
Traceback (most recent call last):
File "prep.py", line 64, in <module>
dask.compute(values)
File "/Users/aron/anaconda3/envs/parallel/lib/python3.5/site-packages/dask/base.py", line 204, in compute
results = get(dsk, keys, **kwargs)
File "/Users/aron/anaconda3/envs/parallel/lib/python3.5/site-packages/dask/multiprocessing.py", line 177, in get
raise_exception=reraise, **kwargs)
File "/Users/aron/anaconda3/envs/parallel/lib/python3.5/site-packages/dask/local.py", line 521, in get_async
raise_exception(exc, tb)
File "/Users/aron/anaconda3/envs/parallel/lib/python3.5/site-packages/dask/compatibility.py", line 59, in reraise
raise exc.with_traceback(tb)
File "/Users/aron/anaconda3/envs/parallel/lib/python3.5/site-packages/dask/local.py", line 289, in execute_task
task, data = loads(task_info)
File "/Users/aron/anaconda3/envs/parallel/lib/python3.5/site-packages/cloudpickle/cloudpickle.py", line 840, in subimport
__import__(name)
ImportError: No module named '_pandasujson'
The text was updated successfully, but these errors were encountered:
As I mentioned in #80, a change introduced after 0.2.2 breaks a previously working serialized function call that relied on importing pandas. My suspicion is that serialization of functions that utilize
pandas
may be broken in recent versions of cloudpickle.Full backtrace from Dask/prep.py:
The text was updated successfully, but these errors were encountered: