numpy.ufunc的大小不正确,请尝试重新编译。即使是最新的熊猫和麻木的版本

我在容器中使用熊猫,得到以下错误:

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

我读下去 other answers 当根据比您安装的版本更新的numpy版本编译熊猫时,会显示此消息。但是更新熊猫和numpy对我来说都不起作用。我试图找出是否有几个版本的麻木,但是 pip show numpy 似乎显示了最新版本。

而且,这种情况很奇怪,只有在本地部署时才会发生,而不是在服务器上。

有什么解决办法吗?或者至少如何调试我的numpy和pandas版本(如果有多个版本,如何检查)

我尝试了:升级两个软件包,然后删除并重新安装它们。那里没有帮助。