Different out when using conda list and pip list

[Led_Zeppelin]

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

[snippsat]

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 -y

Test.

(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/pip

See 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-forge

See that pip and conda both point to numpy 1.22.0.