Different out when using conda list and pip list - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/forum-7.html) +--- Forum: General Coding Help (https://python-forum.io/forum-8.html) +--- Thread: Different out when using conda list and pip list (/thread-36075.html) |
Different out when using conda list and pip list - Led_Zeppelin - Jan-14-2022 What does it mean when pip list and conda list return the same file in my case numpy, but with different versions? pip list numpy 1.20.2 conda list numpy 1.19.5 Of course, this is the same environment in each case - there is only one. I may be getting other conflicts in version numbers, but this is the one I spotted. I use pip install and conda interchangeably when I am installing libraries in an environment. I am just curious. My program is not running now. Respectfully, LZ RE: Different out when using conda list and pip list - snippsat - Jan-14-2022 Do pip -V and see where it point to.If create with conda create -n venv then no pip will be installed.OS will still try resolve pip on your PATH,so is probably finding the base pip in the Anaconda/miniconda/Python.org install. So this is how i create environment,will get newest Python 3.10.1(with pip) and switch to conda-forge channel. # First update conda in base environment conda update conda # Make environment conda create -n your_env python=3.10.1 -c conda-forge -yTest. (tom_env) G:\div_code λ pip -V pip 21.3.1 from G:\miniconda3\envs\tom_env\lib\site-packages\pip (python 3.10) (tom_env) G:\div_code λ python -V Python 3.10.1 (tom_env) G:\div_code λ conda -V conda 4.11.0 (tom_env) G:\div_code λ which python /g/miniconda3/envs/tom_env/python (tom_env) G:\div_code λ which pip /g/miniconda3/envs/tom_env/Scripts/pipSee that all point to my environment tom_env .So if i eg install Pandas also numpy will be install (tom_env) G:\div_code λ conda install pandas Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: G:\miniconda3\envs\tom_env added / updated specs: - pandas The following packages will be downloaded: package | build ---------------------------|----------------- numpy-1.22.0 | py310hcae7c84_0 5.9 MB conda-forge pandas-1.3.5 | py310hf5e1058_0 11.2 MB conda-forge ------------------------------------------------------------ Total: 17.0 MB The following NEW packages will be INSTALLED: intel-openmp conda-forge/win-64::intel-openmp-2022.0.0-h57928b3_3663 libblas conda-forge/win-64::libblas-3.9.0-12_win64_mkl libcblas conda-forge/win-64::libcblas-3.9.0-12_win64_mkl liblapack conda-forge/win-64::liblapack-3.9.0-12_win64_mkl mkl conda-forge/win-64::mkl-2021.4.0-h0e2418a_729 numpy conda-forge/win-64::numpy-1.22.0-py310hcae7c84_0 pandas conda-forge/win-64::pandas-1.3.5-py310hf5e1058_0 python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0 pytz conda-forge/noarch::pytz-2021.3-pyhd8ed1ab_0 six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 tbb conda-forge/win-64::tbb-2021.5.0-h2d74725_0 Proceed ([y]/n)? y Downloading and Extracting Packages numpy-1.22.0 | 5.9 MB | ############################################################################################################# | 100% pandas-1.3.5 | 11.2 MB | ############################################################################################################# | 100% Preparing transaction: done Verifying transaction: done Executing transaction: done (tom_env) G:\div_code λ pip show numpy Name: numpy Version: 1.22.0 Summary: NumPy is the fundamental package for array computing with Python. Home-page: https://www.numpy.org Author: Travis E. Oliphant et al. Author-email: License: BSD Location: g:\miniconda3\envs\tom_env\lib\site-packages Requires: Required-by: pandas (tom_env) G:\div_code λ conda list # packages in environment at G:\miniconda3\envs\tom_env: # # Name Version Build Channel bzip2 1.0.8 h8ffe710_4 conda-forge ca-certificates 2021.10.8 h5b45459_0 conda-forge intel-openmp 2022.0.0 h57928b3_3663 conda-forge libblas 3.9.0 12_win64_mkl conda-forge libcblas 3.9.0 12_win64_mkl conda-forge libffi 3.4.2 h8ffe710_5 conda-forge liblapack 3.9.0 12_win64_mkl conda-forge libzlib 1.2.11 h8ffe710_1013 conda-forge mkl 2021.4.0 h0e2418a_729 conda-forge numpy 1.22.0 py310hcae7c84_0 conda-forge openssl 3.0.0 h8ffe710_2 conda-forge pandas 1.3.5 py310hf5e1058_0 conda-forge pip 21.3.1 pyhd8ed1ab_0 conda-forge python 3.10.1 hcf16a7b_2_cpython conda-forge python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge python_abi 3.10 2_cp310 conda-forge pytz 2021.3 pyhd8ed1ab_0 conda-forge setuptools 60.5.0 py310h5588dad_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge sqlite 3.37.0 h8ffe710_0 conda-forge tbb 2021.5.0 h2d74725_0 conda-forge tk 8.6.11 h8ffe710_1 conda-forge tzdata 2021e he74cb21_0 conda-forge ucrt 10.0.20348.0 h57928b3_0 conda-forge vc 14.2 hb210afc_6 conda-forge vs2015_runtime 14.29.30037 h902a5da_6 conda-forge wheel 0.37.1 pyhd8ed1ab_0 conda-forge xz 5.2.5 h62dcd97_1 conda-forgeSee that pip and conda both point to numpy 1.22.0 .
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