ArcGISpro克隆的python环境导入pandas及geopandas报错：TypeError: expected string or bytes-like object解决方法

项目场景：

在ArcGISpro克隆的python环境下使用第三方库pandas及geopandas

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问题描述

ArcGISpro克隆的python环境使用第三方库pandas报错，报错内容如下：

Traceback (most recent call last):
  File "E:/编程文件python/pythonProject/合并excel表格工具.py", line 12, in <module>
    import pandas
  File "E:\编程文件python\arcgispro_Python_clone\arcgispro-py3-clone1\lib\site-packages\pandas\__init__.py", line 22, in <module>
    from pandas.compat import (
  File "E:\编程文件python\arcgispro_Python_clone\arcgispro-py3-clone1\lib\site-packages\pandas\compat\__init__.py", line 23, in <module>
    from pandas.compat.pyarrow import (
  File "E:\编程文件python\arcgispro_Python_clone\arcgispro-py3-clone1\lib\site-packages\pandas\compat\pyarrow.py", line 9, in <module>
    _palv = Version(_pa_version)
  File "E:\编程文件python\arcgispro_Python_clone\arcgispro-py3-clone1\lib\site-packages\pandas\util\version\__init__.py", line 339, in __init__
    match = self._regex.search(version)
TypeError: expected string or bytes-like object

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原因分析：

分析：错位定位至match = self._regex.search(version)的version变量，根据备注方法备注# Validate the version and parse it into pieces(# 验证版本并将其解析为多个部分),该方法用于版本验证

#修改前
class Version(_BaseVersion):

    _regex = re.compile(r"^\s*" + VERSION_PATTERN + r"\s*$", re.VERBOSE | re.IGNORECASE)

    def __init__(self, version: str) -> None:

        # Validate the version and parse it into pieces
        match = self._regex.search(version)

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解决方案：

解决方法：既然匹配不到就自己给呗，打开pro->python->查看pandas的版本号，嗯是1.2.3，好，值填上吧。

#修改后
class Version(_BaseVersion):

    _regex = re.compile(r"^\s*" + VERSION_PATTERN + r"\s*$", re.VERBOSE | re.IGNORECASE)

    def __init__(self, version: str) -> None:

        # Validate the version and parse it into pieces
        match = self._regex.search('1.2.3')