ModuleNotFoundError：没有名为“pyarrow.lib”的模块

Question

这是完整的错误消息。

Traceback (most recent call last):
  File "C:\Users\adi\OneDrive\Desktop\Python310\machine learning project.py", line 3, in <module>
    import streamlit as st
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\__init__.py", line 70, in <module>
    from streamlit.delta_generator import DeltaGenerator as _DeltaGenerator
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\delta_generator.py", line 19, in <module>
    from streamlit import cursor, caching
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\cursor.py", line 18, in <module>
    from streamlit.scriptrunner import get_script_run_ctx
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\scriptrunner\__init__.py", line 16, in <module>
    from .script_runner import (
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\scriptrunner\script_runner.py", line 35, in <module>
    from streamlit.state import (
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\state\__init__.py", line 27, in <module>
    from .session_state_proxy import (
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\state\session_state_proxy.py", line 24, in <module>
    from streamlit.type_util import Key
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\streamlit\type_util.py", line 22, in <module>
    import pyarrow as pa
  File "C:\Users\adi\OneDrive\Desktop\Python310\lib\site-packages\pyarrow\__init__.py", line 65, in <module>
    import pyarrow.lib as _lib

我正在为一个项目使用 streamlit，但无法解决这个问题。 我曾尝试卸载并重新安装 streamlit，但这没有帮助。

我使用 python 3.8

Answer 1

卸载并重新安装为我解决了这个问题：

pip uninstall pyarrow
pip install pyarrow

我想我在我的 Conda 环境中更改了 Python 版本，把事情搞砸了。

Answer 2

你需要安装pyarrow

python3 -m pip install pyarrow

Answer 3

检查这两件事（对我有用）-

1-如果您最近更改了 python 版本，请卸载所有库，然后安装。（可以通过pip uninstall -r requirements.txt -y & 然后pip install -r requirements.txt -y轻松完成

2- 如果您在不同的环境中安装了 pyarrow。