我在一个容器里使用熊猫,我得到了以下错误:
Traceback (most recent call last):
File "/volumes/dependencies/site-packages/celery/app/trace.py", line 374, in trace_task
R = retval = fun(*args, **kwargs)
File "/volumes/dependencies/site-packages/celery/app/trace.py", line 629, in __protected_call__
return self.run(*args, **kwargs)
File "/volumes/code/autoai/celery/data_template/api.py", line 16, in run_data_template_task
data_template.run(data_bundle, columns=columns)
File "/volumes/code/autoai/models/data_template.py", line 504, in run
self.to_parquet(data_bundle, columns=columns)
File "/volumes/code/autoai/models/data_template.py", line 162, in to_parquet
}, parquet_path=data_file.path, directory="", dataset=self)
File "/volumes/code/autoai/core/datasets/parquet_converter.py", line 46, in convert
file_system.write_dataframe(parquet_path, chunk, directory, append=append)
File "/volumes/code/autoai/core/file_systems.py", line 76, in write_dataframe
append=append)
File "/volumes/dependencies/site-packages/pandas/core/frame.py", line 1945, in to_parquet
compression=compression, **kwargs)
File "/volumes/dependencies/site-packages/pandas/io/parquet.py", line 256, in to_parquet
impl = get_engine(engine)
File "/volumes/dependencies/site-packages/pandas/io/parquet.py", line 40, in get_engine
return FastParquetImpl()
File "/volumes/dependencies/site-packages/pandas/io/parquet.py", line 180, in __init__
import fastparquet
File "/volumes/dependencies/site-packages/fastparquet/__init__.py", line 8, in <module>
from .core import read_thrift
File "/volumes/dependencies/site-packages/fastparquet/core.py", line 13, in <module>
from . import encoding
File "/volumes/dependencies/site-packages/fastparquet/encoding.py", line 11, in <module>
from .speedups import unpack_byte_array
File "__init__.pxd", line 861, in init fastparquet.speedups
ValueError: numpy.ufunc has the wrong size, try recompiling. Expected 192, got 216我在other answers上读到,当熊猫是针对比你安装的版本更新的numpy版本编译时,这条消息就会显示出来。但是更新熊猫和numpy对我没有用。我试图找出我是否有几个版本的numpy,但pip show numpy似乎显示了最新的版本。
而且,奇怪的是,只有当我在本地部署而不是在服务器上部署时,才会发生这种情况。
有什么办法解决这个问题吗?或者至少如何调试我的numpy和熊猫版本(如果有多个版本,我如何检查)
我试过:升级两个软件包并删除和重新安装它们。那里没有帮助。
发布于 2019-03-12 09:46:11
其实我的问题是通过某种方式解决的
pip uninstall numpy
pip install numpy真正的过程是
➜ ~ pip3 uninstall numpy -y
Uninstalling numpy-1.14.5:
Successfully uninstalled numpy-1.14.5
➜ ~ pip3 install numpy
Requirement already satisfied: numpy in /usr/lib/python3/dist-packages (1.16.1)
➜ ~ pip3 uninstall numpy
Uninstalling numpy-1.16.1:
Would remove:
/usr/bin/f2py3
/usr/bin/f2py3.7
/usr/lib/python3/dist-packages/numpy
/usr/lib/python3/dist-packages/numpy-1.16.1.egg-info
Proceed (y/n)? y
Successfully uninstalled numpy-1.16.1
➜ ~ pip3 install numpy
Collecting numpy...这意味着问题可能是版本冲突?
https://stackoverflow.com/questions/53904157
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