针对你遇到的错误 "error in pandas setup command: 'install_requires' must be a string or list of strings",我们可以从以下几个方面进行分析和解决: 理解错误信息: 错误信息表明,在pandas的setup.py文件中,install_requires字段的格式不正确。它必须是一个字符串或者字符串的列表,但当前可能不是这种格式。 ...
ubuntu16.04LTS安装pandas报错(Command “python setup.py egg_info” failed with error code 1 in /tem/pip-build-jclhqtam/pandas) 尝试按照图一中黄色字体部分去更新pip命令,然后再次安装pandas 用的上的话,帮忙点个赞,这样就可以帮助更多的萌新啦嘻嘻~... ...
它会执行setup.py中的setup()函数,并根据setup()函数中的参数生成相关的元数据。通常,这个错误消息表示在生成这些元数据时出现了问题。下面是一个示例的setup.py文件: fromsetuptoolsimportsetup,find_packages setup(name='example_package',version='1.0.0',packages=find_packages(),install_requires=['numpy','...
遇到这样的情况，通常是打开任何来源即可轻松解决，下面讲一下Mac应用程序无法打开或文件损坏的处理方法，解答Mac没有任何来源选项怎么开启?的问题，为您轻松解决打开任何来源解决Mac提示文件“已损坏”的问题，一起看下。 原因 在 MAC 下安装一些软件时提示”来自身份不明开发者“，其实这是MAC新系统启用了新的安全...
location='westeurope' # VNET details vnet_name='vnet' vnet_address_range='10.0.0.0/16' vnet_aml_subnet='10.0.1.0/24' vnet_anf_subnet='10.0.2.0/24' # AML details workspace_name='aml-anf' az group create -n $rg -l $location
error in setup command: Error parsing /edx/app/edxapp/edx-analytics/edx-analytics-pipeline/setup.cfg: Exception: Versioning for this project requires either an sdist tarball, or access to an upstream git repository. Are you sure that git is installed?
7、采用pip install gym/gym[all]安装gym,提示如下错误The headers or library files could not be found for zlib, a required dependency when compiling Pillow from source.Please see the install instructions at: Pillow (PIL Fork) 8.2.0.dev0 documentationERROR: Command errored out with exit status 1...
#pip install pandas==1.1.1 pip install pandas #Successfully installed pandas-2.1.2 pip install patsy==0.5.1 pip install pluggy==0.13.1 pip install py==1.9.0 pip install pyparsing==2.4.7 pip install pytest==6.0.1 pip install pytest-cov==2.10.1 ...
PANDAS_UDF_PLACEMENT, MATERIALIZED_VIEW_OUTPUT_WITHOUT_EXPLICIT_ALIAS, MATERIALIZED_VIEW_UNSUPPORTED_OPERATION, MULTI_UDF_INTERFACE_ERROR, NAMED_PARAMETERS_NOT_SUPPORTED_FOR_SQL_UDFS, NAMED_PARAMETER_SUPPORT_DISABLED, NOT_SUPPORTED_CHANGE_COLUMN, NOT_SUPPORTED_COMMAND_FOR_V2_TABLE, NOT_SUPPORTED_COMMAND_...
You can explicitly invalidate the cache in Spark by running ‘REFRESH TABLE tableName’ command in SQL or by recreating the Dataset/DataFrame involved. If disk cache is stale or the underlying files have been removed, you can invalidate disk cache manually by restarting the cluster....