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Collecting pandas==2.2.0 Downloading pandas-2.2.0.tar.gz (4.4 MB) ---------------------------------------- 4.4/4.4 MB 3.8 MB/s eta 0:00:00 Installing build dependencies: started Installing build dependencies: finished with status 'error' error: subprocess-exited-with-error pip subprocess to install build dependencies did not run successfully. exit code: 1 [167 lines of output] Collecting meson-python==0.13.1 Downloading meson_python-0.13.1-py3-none-any.whl.metadata (4.1 kB) Collecting meson==1.2.1 Downloading meson-1.2.1-py3-none-any.whl.metadata (1.7 kB) Collecting wheel Downloading wheel-0.45.1-py3-none-any.whl.metadata (2.3 kB) Collecting Cython==3.0.5 Using cached Cython-3.0.5-py2.py3-none-any.whl.metadata (3.2 kB) Collecting numpy<=2.0.0.dev0,>1.22.4 Downloading numpy-1.26.4.tar.gz (15.8 MB) -------------------------------------- 15.8/15.8 MB 903.2 kB/s eta 0:00:00 Installing build dependencies: started Install

时间: 2025-04-29 07:26:53 浏览: 80
<think>好的,我现在需要帮助用户解决在安装pandas 2.2.0时遇到的构建依赖错误,错误信息是build dependencies failed,退出代码1。首先,我得回想一下常见的Python包安装问题可能的原因。用户提到的错误可能涉及多个方面,比如Python版本不兼容、依赖项冲突、缺少构建工具,或者系统库缺失等。 根据用户提供的引用内容,引用[1]提到numpy 1.19安装时的问题,可能涉及到旧版本的兼容性问题。引用[2]显示用户之前尝试安装torch 1.6.0时失败,因为版本过旧,可能Python版本不支持。引用[3]显示用户使用的是Python 3.7.9,而引用[4]是关于conda的更新命令。因此,我需要考虑用户的Python版本是否满足pandas 2.2.0的要求。 首先,查阅pandas 2.2.0的官方文档或PyPI页面,确认其支持的Python版本。假设pandas 2.2.0需要Python 3.8或更高版本,而用户当前使用的是3.7.9,这可能导致兼容性问题。如果是这样,用户需要升级Python或者使用更低版本的pandas。 另外,构建依赖失败可能涉及setuptools、wheel或Cython等工具版本过旧。用户可能需要更新这些工具,确保它们是最新的。例如,运行pip install --upgrade setuptools wheel Cython。 另一个可能性是缺少系统级的开发库。例如,在Linux系统中,安装pandas可能需要gcc、g++、python3-dev等。用户需要安装这些系统依赖项,比如使用apt-get install build-essential python3-dev。 此外,依赖项冲突也是一个常见问题。如果用户的环境中已经安装了某些旧版本的库,比如numpy,可能会与新版本的pandas产生冲突。这时候,可以尝试创建一个新的虚拟环境,隔离现有环境,然后安装pandas 2.2.0及其依赖。 还有,使用conda来安装可能更顺利,因为conda会自动处理依赖关系,尤其是在跨平台编译的情况下。用户可以使用conda install pandas=2.2.0,或者先安装conda-forge通道的版本。 最后,如果以上方法都失败,可能需要检查具体的错误日志,查看详细的报错信息。用户可以在安装时添加--verbose参数,获取更多输出,从而定位问题根源。</think>针对安装pandas 2.2.0时出现的构建依赖错误(exit code 1),可通过以下步骤排查解决: --- ### 一、检查Python版本兼容性 1. **pandas 2.2.0要求Python ≥3.8** 根据官方文档,pandas 2.x版本需要Python 3.8及以上环境[^3]。若当前Python版本为3.7.x(如用户环境Python 3.7.9[^3]),需升级Python: ```bash conda update python=3.8 # 使用conda升级Python版本[^4] ``` --- ### 二、更新构建工具 2. **更新setuptools、wheel和Cython** 旧版本工具可能导致编译失败: ```bash pip install --upgrade setuptools wheel Cython ``` --- ### 三、安装系统级依赖 3. **Linux/macOS需安装开发库** - Ubuntu/Debian: ```bash sudo apt-get install build-essential python3-dev ``` - macOS需安装Xcode Command Line Tools: ```bash xcode-select --install ``` --- ### 四、使用conda安装(推荐) 4. **通过conda解决依赖冲突** conda能自动处理二进制依赖,避免编译问题: ```bash conda create -n pandas_env python=3.8 # 创建新环境 conda activate pandas_env conda install pandas=2.2.0 -c conda-forge # 优先使用conda-forge通道 ``` --- ### 五、排查依赖版本冲突 5. **检查numpy版本兼容性** pandas 2.2.0依赖numpy≥1.22.4。若环境中存在旧版numpy(如numpy 1.19[^1]),需先升级: ```bash pip uninstall numpy # 卸载旧版本 pip install numpy>=1.22.4 ``` --- ### 六、查看完整错误日志 6. **获取详细错误信息** 添加`--verbose`参数查看具体报错位置: ```bash pip install pandas==2.2.0 --verbose ``` --- ### 七、替代方案 7. **降级pandas版本** 若问题持续,可暂时安装兼容旧Python的版本: ```bash pip install pandas==1.5.3 # 支持Python 3.7的稳定版本 ``` ---
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Requirement already satisfied: gast<0.5.0,>=0.2.1 in /usr/local/lib/python3.8/dist-packages (from tensorflow==2.7.0 0.4.0) Requirement already satisfied: tensorboard~=2.6 in /usr/local/lib/python3.8/dist-packages (from tensorflow==2.7.0) n12.3) Collecting tensorflow-estimator<2.8,~=2.7.0rc0 (from tensorflow==2.7.10) Downloading tensorflow_estimator-2.7.0-py2.py3-none-any.whl.metadata' (1.2 kB) Collecting keras<2.8,>=2.7.0rc0 (from tensorflow==2.7.0) Downloading keras-2.7.0-py2.py3-none-any.whl.metadata (1.3 kB Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.21.0in /usr/local/lib/python3.8/dist-packages (from te kensorflow==2.7.0) (0.34.0) Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.8/dist-packages (from tensorflow==2.7.0) (1.70.0) Collecting cirq-core==0.13.1 (from tensorflow-quantum==0.7.2) Downloading cirq_core-0.13.1-py3-none-any.whl.metadata (2.1 KEB) Collecting cirq-google>=0.13.1 (from tensorflow-quantum==0.7.2) Downloading cirq_google-1.1.0-py3-none-any.whl.metadata (2.0 kB) KeCollecting sympy==1.8 (from tensorflow-quantum==0.7.2) Downloading sympy-1.8-py3-none-any.whl.metadata (11 kB) Collecting googleapis-common-protos==1.52.0 (from tensorflowquantum==0.7.2) Downloading googleapis_common_protos-1.52.0-py2.py3-none-any.whl.metadata (1.3 kB) Collecting google-api-core==1.21.0 (from tensorflow-quantum==0.7.2) Downloading google_api_core-1.21.0-py2.py3-none-any.whl.metadata (2.3 kB) Collecting google-auth==1.18.0 (from tensorflow-quantum==0.7.2) Downloading google_auth-1.18.0-py2.py3-none-any.whl.metadata (3.1kB) INFO: pip is looking at multiple versions of tensorflow-quantum to determine which version is compatible with other re quirements. This could take a while. RROR: Cannot install protobuf=3.20.3, tensorflow-quantum=0.7.2 and tensortflow=2.7.0 hecause these package versions have conflicting dependencies, The conflict is caused by: The user requested protobuf==3.20.3 ke tensorflow 2.7.0 depends on protobuf>=

jetson@ubuntu:~$ pip install write Defaulting to user installation because normal site-packages is not writeable Collecting write Downloading write-2020.12.3.tar.gz (1.5 kB) Preparing metadata (setup.py) ... done INFO: pip is looking at multiple versions of write to determine which version is compatible with other requirements. This could take a while. Downloading write-2020.7.1.tar.gz (1.6 kB) Preparing metadata (setup.py) ... done Discarding https://files.pythonhosted.org/packages/75/e2/07bf5efaa9e0f389b0720c20e9cfb6c11d2b743f807e5b15943da5d73eca/write-2020.7.1.tar.gz (from https://pypi.org/simple/write/): Requested write from https://files.pythonhosted.org/packages/75/e2/07bf5efaa9e0f389b0720c20e9cfb6c11d2b743f807e5b15943da5d73eca/write-2020.7.1.tar.gz has inconsistent version: expected '2020.7.1', but metadata has '0.0.0' Downloading write-2019.4.13.tar.gz (1.6 kB) Preparing metadata (setup.py) ... done Downloading write-2019.3.24-py2.py3-none-any.whl.metadata (1.6 kB) Downloading write-2018.11.22-py2.py3-none-any.whl.metadata (1.4 kB) Downloading write-2018.11.20-py2.py3-none-any.whl.metadata (1.4 kB) Collecting fullpath (from write) Downloading fullpath-0.0.post0.tar.gz (683 bytes) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [14 lines of output] running egg_info creating /tmp/pip-pip-egg-info-z__4kqr0/fullpath.egg-info writing /tmp/pip-pip-egg-info-z__4kqr0/fullpath.egg-info/PKG-INFO writing dependency_links to /tmp/pip-pip-egg-info-z__4kqr0/fullpath.egg-info/dependency_links.txt writing top-level names to /tmp/pip-pip-egg-info-z__4kqr0/fullpath.egg-info/top_level.txt writing manifest file '/tmp/pip-pip-egg-info-z__4kqr0/fullpath.egg-info/SOURCES.txt' reading manifest file '/tmp/pip-pip-egg-info-z__4kqr0/fullpath.egg-info/SOURCES.txt' writing manifest file '/tmp/pip-pip-egg-info

pip install numpy==1.24.4 Collecting numpy==1.24.4 Downloading numpy-1.24.4.tar.gz (10.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.9/10.9 MB 556.8 kB/s eta 0:00:00 Installing build dependencies ... error error: subprocess-exited-with-error × pip subprocess to install build dependencies did not run successfully. │ exit code: 2 ╰─> [77 lines of output] Collecting setuptools==59.2.0 Downloading setuptools-59.2.0-py3-none-any.whl.metadata (5.0 kB) Collecting wheel==0.37.0 Downloading wheel-0.37.0-py2.py3-none-any.whl.metadata (2.3 kB) Collecting Cython<3.0,>=0.29.30 Downloading Cython-0.29.37-py2.py3-none-any.whl.metadata (3.1 kB) Downloading setuptools-59.2.0-py3-none-any.whl (952 kB) ----------- 262.1/952.0 kB ? eta -:--:-- ERROR: Exception: Traceback (most recent call last): File "D:\Anaconda3\envs\pytorch\Lib\site-packages\pip\_vendor\urllib3\response.py", line 438, in _error_catcher yield File "D:\Anaconda3\envs\pytorch\Lib\site-packages\pip\_vendor\urllib3\response.py", line 561, in read data = self._fp_read(amt) if not fp_closed else b"" ^^^^^^^^^^^^^^^^^^ File "D:\Anaconda3\envs\pytorch\Lib\site-packages\pip\_vendor\urllib3\response.py", line 527, in _fp_read return self._fp.read(amt) if amt is not None else self._fp.read() ^^^^^^^^^^^^^^^^^^ File "D:\Anaconda3\envs\pytorch\Lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 98, in read data: bytes = self.__fp.read(amt) ^^^^^^^^^^^^^^^^^^^ File "D:\Anaconda3\envs\pytorch\Lib\http\client.py", line 479, in read s = self.fp.read(amt) ^^^^^^^^^^^^^^^^^ File "D:\Anaconda3\envs\pytorch\Lib\socket.py", line 720, in readinto return self._sock.recv_into(b) ^^^^^^^^^^^^^^^^^^^^^^^ File "

PS C:\Users\Admin> wsl root@DESKTOP-AMOTP3K:/mnt/c/Users/Admin# pip3 install cirq==0.14.0tensorflow-quantum==0.7.2 Collecting cirq==0.14.0 Downloading cirq-0.14.0-py3-none-any.whl.metadata (7.5 kB) Collecting tensorflow-quantum==0.7.2 Downloading tensorflow_quantum-0.7.2-cp38-cp38-manylinux_2_12_x86_654.manylinux2010_x86_64.whl.metadata (1.8 kB) Collecting cirq-aqt==0.14.0 (from cirq==0.14.0) Downloading cirq_aqt-0.14.0-py3-none-any.whl.metadata (1.6 kB) Collecting cirq-core==0.14.0 (from cirq==0.14.0) Downloading cirq_core-0.14.0-py3-none-any.whl.metadata (2.2 kB) Collecting cirq-google==0.14.0 (from cirq==0.14.0) Downloading cirq_google-0.14.0-py3-none-any.whl.metadata (19 kB) Collecting cirq-ionq==0.14.0 (from cirq==0.14.0) Downloading cirq_ionq-0.14.0-py3-none-any.whl.metadata (1.6kB) Collecting cirq-pasqal==0.14.0 (from cirq==0.14.0) Downloading cirq_pasqal-0.14.0-py3-none-any.whl.metadata (16 kB) Collecting cirq-rigetti==0.14.0 (from cirq==0.14.0) Downloading cirq_rigetti-0.14.0-py3-none-any.whl.metadata (2.4 kB) Collecting cirq-web==0.14.0 (from cirq==0.14.0) Downloading cirq_web-0.14.0-py3-none-any.whl.metadata (2.6 kB) INFO: pip is looking at multiple versions of tensorflow-quantum to determine which version is compatible with other red uirements. This could take a while. ERROR: Cannot install cirq==0.14.9 and tensorflow-quantum=-0.7.2 because these package versions have conflicting depend encies. The conflict is caused by: cirq 0.14.0 depends on cirq-core==0.14.0 tensorflow-quantum 0.7.2 depends on cirq-core==0.13.1 To fix this you could try to: 1. loosen the range of package versions you've specified 2. remove package versions to allow pip to attempt to solvethe dependency conflict ERROK: Resplutionimpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-mesolution/#dealing-with-de pendency-conflicts root@DESKTOP-AMOTP3K:/mnt/c/Users/Admin# _

(hyte) root@autodl-container-e82a43b255-08b2c8d6:~/autodl-tmp/HyTE# pip install -r requirements.txt Collecting tensorflow==1.8.0 (from -r requirements.txt (line 1)) Cache entry deserialization failed, entry ignored Using cached https://pypi.tuna.tsinghua.edu.cn/packages/22/c6/d08f7c549330c2acc1b18b5c1f0f8d9d2af92f54d56861f331f372731671/tensorflow-1.8.0-cp36-cp36m-manylinux1_x86_64.whl Collecting requests>=2.20.0 (from -r requirements.txt (line 2)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/2d/61/08076519c80041bc0ffa1a8af0cbd3bf3e2b62af10435d269a9d0f40564d/requests-2.27.1-py2.py3-none-any.whl Collecting scipy==1.0.0 (from -r requirements.txt (line 3)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d8/5e/caa01ba7be11600b6a9d39265440d7b3be3d69206da887c42bef049521f2/scipy-1.0.0-cp36-cp36m-manylinux1_x86_64.whl Collecting numpy==1.14.3 (from -r requirements.txt (line 4)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/71/90/ca61e203e0080a8cef7ac21eca199829fa8d997f7c4da3e985b49d0a107d/numpy-1.14.3-cp36-cp36m-manylinux1_x86_64.whl Collecting scikit_learn==0.19.1 (from -r requirements.txt (line 5)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/3d/2d/9fbc7baa5f44bc9e88ffb7ed32721b879bfa416573e85031e16f52569bc9/scikit_learn-0.19.1-cp36-cp36m-manylinux1_x86_64.whl Collecting pandas==0.24.2 (from -r requirements.txt (line 6)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/19/74/e50234bc82c553fecdbd566d8650801e3fe2d6d8c8d940638e3d8a7c5522/pandas-0.24.2-cp36-cp36m-manylinux1_x86_64.whl Collecting grpcio>=1.8.6 (from tensorflow==1.8.0->-r requirements.txt (line 1)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/81/9a/6b33e8d15850356772f0ee6489bc8346a7aa90f0c86733283e139740865e/grpcio-1.48.2.tar.gz (22.0MB) 100% |████████████████████████████████| 22.0MB 21kB/s Collecting six>=1.10.0 (from tensorflow==1.8.0->-r requirements.txt (line 1)) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl Collecting protobuf>=3.4.0 (from tensorflow==1.8.0->-r requirements.txt (line 1)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6c/be/4e32d02bf08b8f76bf6e59f2a531690c1e4264530404501f3489ca975d9a/protobuf-4.21.0-py2.py3-none-any.whl protobuf requires Python '>=3.7' but the running Python is 3.6.13 tensorflow1.8.0要求python为3.6,但是protobuf要求python>=3.7

Collecting opencv-python==4.4.0.46 Downloading opencv-python-4.4.0.46.tar.gz (88.9 MB) --------------------------------------- 88.9/88.9 MB 10.2 MB/s eta 0:00:00 Installing build dependencies: started Installing build dependencies: finished with status 'error' error: subprocess-exited-with-error pip subprocess to install build dependencies did not run successfully. exit code: 2 [119 lines of output] Ignoring numpy: markers 'python_version == "3.6"' don't match your environment Ignoring numpy: markers 'python_version == "3.7"' don't match your environment Ignoring numpy: markers 'python_version == "3.8"' don't match your environment Collecting setuptools Using cached setuptools-76.0.0-py3-none-any.whl.metadata (6.7 kB) Collecting wheel Using cached wheel-0.45.1-py3-none-any.whl.metadata (2.3 kB) Collecting scikit-build Using cached scikit_build-0.18.1-py3-none-any.whl.metadata (18 kB) Collecting cmake Using cached cmake-3.31.6-py3-none-win_amd64.whl.metadata (6.3 kB) Collecting pip Using cached pip-25.0.1-py3-none-any.whl.metadata (3.7 kB) Collecting numpy==1.19.3 Downloading numpy-1.19.3.zip (7.3 MB) ---------------------------------------- 7.3/7.3 MB 5.0 MB/s eta 0:00:00 Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' ERROR: Exception: Traceback (most recent call last): File "C:\Users\31979\AppData\Local\Programs\Python\Python312\Lib\site-packages\pip\_internal\cli\base_command.py", line 105, in _run_wrapper status = _inner_run() ^^^^^^^^^^^^ File "C:\Users\31979\AppData\Local\Programs\Python\Python312\Lib\site-packages\pip\_internal\cli\base_command.py", line 96, in _inner_run return self.run(options, args) ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\31979\AppData\Loc

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