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A conda-smithy repository for pandas.

License: BSD 3-Clause "New" or "Revised" License

pandas-feedstock's Introduction

About pandas-feedstock

Feedstock license: BSD-3-Clause

Home: http://pandas.pydata.org

Package license: BSD-3-Clause

Summary: Powerful data structures for data analysis, time series, and statistics

Development: https://github.com/pandas-dev/pandas

Documentation: https://pandas.pydata.org/docs/

Current build status

Travis

Azure

Variant	Status
linux_64_numpy1.22python3.10.____cpythonpython_implcpython
linux_64_numpy1.22python3.9.____73_pypypython_implpypy
linux_64_numpy1.22python3.9.____cpythonpython_implcpython
linux_64_numpy1.23python3.11.____cpythonpython_implcpython
linux_64_numpy1.26python3.12.____cpythonpython_implcpython
linux_aarch64_numpy1.22python3.10.____cpythonpython_implcpython
linux_aarch64_numpy1.22python3.9.____73_pypypython_implpypy
linux_aarch64_numpy1.22python3.9.____cpythonpython_implcpython
linux_aarch64_numpy1.23python3.11.____cpythonpython_implcpython
linux_aarch64_numpy1.26python3.12.____cpythonpython_implcpython
linux_ppc64le_numpy1.22python3.10.____cpythonpython_implcpython
linux_ppc64le_numpy1.22python3.9.____73_pypypython_implpypy
linux_ppc64le_numpy1.22python3.9.____cpythonpython_implcpython
linux_ppc64le_numpy1.23python3.11.____cpythonpython_implcpython
linux_ppc64le_numpy1.26python3.12.____cpythonpython_implcpython
osx_64_numpy1.22python3.10.____cpythonpython_implcpython
osx_64_numpy1.22python3.9.____73_pypypython_implpypy
osx_64_numpy1.22python3.9.____cpythonpython_implcpython
osx_64_numpy1.23python3.11.____cpythonpython_implcpython
osx_64_numpy1.26python3.12.____cpythonpython_implcpython
osx_arm64_numpy1.22python3.10.____cpython
osx_arm64_numpy1.22python3.9.____cpython
osx_arm64_numpy1.23python3.11.____cpython
osx_arm64_numpy1.26python3.12.____cpython
win_64_numpy1.22python3.10.____cpythonpython_implcpython
win_64_numpy1.22python3.9.____73_pypypython_implpypy
win_64_numpy1.22python3.9.____cpythonpython_implcpython
win_64_numpy1.23python3.11.____cpythonpython_implcpython
win_64_numpy1.26python3.12.____cpythonpython_implcpython

Current release info

Name	Downloads	Version	Platforms

Installing pandas

Installing pandas from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, pandas can be installed with conda:

conda install pandas

or with mamba:

mamba install pandas

It is possible to list all of the versions of pandas available on your platform with conda:

conda search pandas --channel conda-forge

or with mamba:

mamba search pandas --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search pandas --channel conda-forge

# List packages depending on `pandas`:
mamba repoquery whoneeds pandas --channel conda-forge

# List dependencies of `pandas`:
mamba repoquery depends pandas --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating pandas-feedstock

If you would like to improve the pandas recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/pandas-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

If the version of a package is not being increased, please add or increase the build/number.
If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

pandas-feedstock's People

Contributors

Stargazers

Watchers

pandas-feedstock's Issues

Pandas and pytables (for hdf I/O)

Issue:

Environment (conda list):

# packages in environment at C:\Anaconda2\envs\test_pandas:
#
# Name                    Version                   Build  Channel
blas                      1.0                         mkl
blosc                     1.14.4            hc56fc5f_1000    conda-forge
bzip2                     1.0.6                     vc9_1  [vc9]  conda-forge
certifi                   2018.8.24                py27_1
hdf5                      1.10.2                    vc9_0  [vc9]  conda-forge
icc_rt                    2017.0.4             h97af966_0
intel-openmp              2019.0                      118
lzo                       2.10                      vc9_0  [vc9]  conda-forge
mkl                       2019.0                      118
mkl_fft                   1.0.6                    py27_0    conda-forge
numexpr                   2.6.6                    py27_0    conda-forge
numpy                     1.15.2           py27hbe4291b_0
numpy-base                1.15.2           py27h2753ae9_0
pandas                    0.23.4           py27h39f3610_0    conda-forge
pip                       18.0                     py27_1    conda-forge
pytables                  3.4.3            py27hdd5b532_1
python                    2.7.15            h2880e7c_1001    conda-forge
python-dateutil           2.7.3                      py_0    conda-forge
pytz                      2018.5                     py_0    conda-forge
setuptools                40.4.0                py27_1000    conda-forge
six                       1.11.0                   py27_1    conda-forge
vc                        9                             0    conda-forge
vs2008_runtime            9.0.30729.6161                0    conda-forge
wheel                     0.31.1                py27_1001    conda-forge
wincertstore              0.2                   py27_1002    conda-forge
zlib                      1.2.11                    vc9_0  [vc9]  conda-forge

Details about conda and system ( conda info ):


     active environment : test_pandas
    active env location : C:\Anaconda2\envs\test_pandas
            shell level : 1
       user config file : C:\Users\abdelouadoud\.condarc
 populated config files : C:\Users\abdelouadoud\.condarc
          conda version : 4.5.4
    conda-build version : not installed
         python version : 2.7.13.final.0
       base environment : C:\Anaconda2  (writable)
           channel URLs : https://conda.anaconda.org/bioconda/win-64
                          https://conda.anaconda.org/bioconda/noarch
                          https://conda.anaconda.org/r/win-64
                          https://conda.anaconda.org/r/noarch
                          https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/win-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/pro/win-64
                          https://repo.anaconda.com/pkgs/pro/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
                          https://conda.anaconda.org/conda-forge/win-64
                          https://conda.anaconda.org/conda-forge/noarch
          package cache : C:\Anaconda2\pkgs
                          C:\Users\abdelouadoud\AppData\Local\conda\conda\pkgs
       envs directories : C:\Anaconda2\envs
                          C:\Users\abdelouadoud\AppData\Local\conda\conda\envs
                          C:\Users\abdelouadoud\.conda\envs
               platform : win-64
             user-agent : conda/4.5.4 requests/2.12.4 CPython/2.7.13 Windows/7 Windows/6.1.7601
          administrator : True
             netrc file : None
           offline mode : False

When running the following code with the environment above activated :

import pandas as pd
pd.Series([4, 5]).to_hdf('test', key='test')

I get

Warning! ***HDF5 library version mismatched error***
The HDF5 header files used to compile this application do not match
the version used by the HDF5 library to which this application is linked.
Data corruption or segmentation faults may occur if the application continues.
This can happen when an application was compiled by one version of HDF5 but
linked with a different version of static or shared HDF5 library.
You should recompile the application or check your shared library related
settings such as 'LD_LIBRARY_PATH'.
You can, at your own risk, disable this warning by setting the environment
variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'.
Setting it to 2 or higher will suppress the warning messages totally.
Headers are 1.8.15, library is 1.10.1
            SUMMARY OF THE HDF5 CONFIGURATION
            =================================

General Information:
-------------------
                   HDF5 Version: 1.10.1
                  Configured on: 2018-02-22
                  Configured by: NMake Makefiles
                    Host system: Windows-6.3.9600
              Uname information: Windows
                       Byte sex: little-endian
             Installation point: C:/bld/hdf5_1519266479706/_b_env/Library

Compiling Options:
------------------
                     Build Mode: RELEASE
              Debugging Symbols:
                        Asserts:
                      Profiling:
             Optimization Level:

Linking Options:
----------------
                      Libraries:
  Statically Linked Executables: OFF
                        LDFLAGS: /machine:x64
                     H5_LDFLAGS:
                     AM_LDFLAGS:
                Extra libraries: C:/bld/hdf5_1519266479706/_b_env/Library/lib/z.lib
                       Archiver:
                         Ranlib:

Languages:
----------
                              C: yes
                     C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 9.0/VC/bin/amd64/cl.exe 15.0.30729.1
                       CPPFLAGS:
                    H5_CPPFLAGS:
                    AM_CPPFLAGS:
                         CFLAGS: /DWIN32 /D_WINDOWS /W3
                      H5_CFLAGS:
                      AM_CFLAGS:
               Shared C Library: YES
               Static C Library: YES

                        Fortran: OFF
               Fortran Compiler:
                  Fortran Flags:
               H5 Fortran Flags:
               AM Fortran Flags:
         Shared Fortran Library: YES
         Static Fortran Library: YES

                            C++: ON
                   C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 9.0/VC/bin/amd64/cl.exe 15.0.30729.1
                      C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
                   H5 C++ Flags:
                   AM C++ Flags:
             Shared C++ Library: YES
             Static C++ Library: YES

                            JAVA: OFF
                   JAVA Compiler:

Features:
---------
                  Parallel HDF5: OFF
             High-level library: ON
                   Threadsafety: ON
            Default API mapping: v110
 With deprecated public symbols: ON
         I/O filters (external):  DEFLATE
                            MPE:
                     Direct VFD:
                        dmalloc:
 Packages w/ extra debug output:
                    API Tracing: OFF
           Using memory checker: OFF
Memory allocation sanity checks: OFF
            Metadata trace file:
         Function Stack Tracing: OFF
      Strict File Format Checks: OFF
   Optimization Instrumentation:
Bye...

This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.

This is currently reproducible only on the conda-forge channel (everything works as expected on the defaults) but we need to use the conda-forge channel to be able to use geopandas.

@conda-forge-admin, please update version

Is it possible to create a v1.5.x branch for Python 3.12 compatibility?

Comment:

I've got a quick question for the awesome folks behind pandas-feedstock project on conda-forge. I was wondering if it would be possible to create a v1.5.x branch to enable compatibility with Python 3.12.

Just recently, I had a fantastic experience on a rebuild PR for the pydantic project. Now I'm keen to send a pull request that ensures the latest version within the 1.x release range of pandas aslo works with Python 3.12.

I've already created the branch with a new commit here. So, could you consider creating a branch based on 66ac579 for this purpose?

256sum of source tarball doesn't match

$ sha256sum v0.19.2.tar.gz 
af634dd6ed3ca1f8635183f41e7f7769108531ccca8213067d9627857461702e  v0.19.2.tar.gz

The recipe says it should be:

wget https://github.com/pydata/pandas/archive/v0.19.2.tar.gz

dd2ee30e21804675a6ef41bea854a023b8be3b840fd2aa33e7e1cc38066e781c

@conda-forge-admin, please add user @anmyachev

Additional comment:

No response

conda install pandas installs an rc candidate

Issue:

I would except conda install -c conda-forge pandas to install the latest release that is not a beta, alpha, rc, etc. Currently 0.24.0rc1 gets installed into my environment and seems to have some breaking features.

Environment (conda list):

$ conda list
moorepants@garuda:teamo(master)$ conda list pandas
# packages in environment at /home/moorepants/miniconda3:
#
# Name                    Version                   Build  Channel
pandas                    0.24.0rc1        py36hfc679d8_0    conda-forge

Details about conda and system ( conda info ):

$ conda info
moorepants@garuda:teamo(master)$ conda info

     active environment : None
       user config file : /home/moorepants/.condarc
 populated config files : /home/moorepants/.condarc
          conda version : 4.5.12
    conda-build version : 3.16.3
         python version : 3.6.7.final.0
       base environment : /home/moorepants/miniconda3  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          http://repo.continuum.io/pkgs/free/linux-64
                          http://repo.continuum.io/pkgs/free/noarch
                          https://conda.anaconda.org/pydy/linux-64
                          https://conda.anaconda.org/pydy/noarch
                          https://conda.anaconda.org/moorepants/linux-64
                          https://conda.anaconda.org/moorepants/noarch
          package cache : /home/moorepants/miniconda3/pkgs
                          /home/moorepants/.conda/pkgs
       envs directories : /home/moorepants/miniconda3/envs
                          /home/moorepants/.conda/envs
               platform : linux-64
             user-agent : conda/4.5.12 requests/2.21.0 CPython/3.6.7 Linux/4.15.0-43-generic ubuntu/18.04 glibc/2.27
                UID:GID : 1000:1000
             netrc file : /home/moorepants/.netrc
           offline mode : False

Add run_constrained for optional dependencies

Comment:

Currently, installing pandas doesn't constrain the versions of any of the 'optional-dependencies' specified in the project's metadata. This means its easy to find yourself in situations where importing pandas results in warnings being emitted (slightly contrived example):

$ mamba create -n test pandas numexpr=2.7
$ conda activate test
$ python3 -c "import pandas"
/home/duncan/opt/mambaforge/envs/test/lib/python3.10/site-packages/numexpr/expressions.py:21: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  _np_version_forbids_neg_powint = LooseVersion(numpy.__version__) >= LooseVersion('1.12.0b1')
/home/duncan/opt/mambaforge/envs/test/lib/python3.10/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.0' or newer of 'numexpr' (version '2.7.3' currently installed).
  from pandas.core.computation.check import NUMEXPR_INSTALLED

Is it reasonable to add requirements/run_constrained to this recipe to map the version constraints for the optional dependencies?

I worry about the scope of this, given that there are ~35 optional dependencies, all with version constraints, and I don't want to burden the maintainers of this feedstock with more grunt work.

pytables?

Hey-lo,

Was just playing around with storing data in hdf, and got an error because pytables wasn't installed. Should it be included here as a dependency?

Specfically:

...
 File "/opt/anaconda3/envs/my_env/lib/python2.7/site-packages/pandas/core/generic.py", line 1101, in to_hdf
    return pytables.to_hdf(path_or_buf, key, self, **kwargs)
  File "/opt/anaconda3/envs/my_env/lib/python2.7/site-packages/pandas/io/pytables.py", line 259, in to_hdf
    complib=complib) as store:
  File "/opt/anaconda3/envs/my_env/lib/python2.7/site-packages/pandas/io/pytables.py", line 389, in __init__
    'importing'.format(ex=str(ex)))
ImportError: HDFStore requires PyTables, "No module named tables" problem importing

@conda-forge-admin, please update version

Test failures with `test_rolling_var_numerical_issues` on Linux `ppc64le`

Seeing some mismatches in the Linux ppc64le builds with test_rolling_var_numerical_issues:

=================================== FAILURES ===================================
_______________ test_rolling_var_numerical_issues[var-1-values0] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

func = 'var', third_value = 1, values = [5e+33, 0, 0.5, 0.5, 2, 0]

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, 0.0, -2.7212384506478592e+17, -2.7212384506478592e+17, -2.7212384506478592e+17, 0.0]
E   [right]: [nan, 5e+33, 0.0, 0.5, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:167: AssertionError
_______________ test_rolling_var_numerical_issues[std-1-values1] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

func = 'std', third_value = 1
values = [7.071068e+16, 0, 0.7071068, 0.7071068, 1.414214, 0]

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.0, 0.7071068, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:167: AssertionError
_______________ test_rolling_var_numerical_issues[var-2-values2] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

func = 'var', third_value = 2, values = [5e+33, 0.5, 0, 0.5, 2, 0]

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 5e+33, -2.7212384506478592e+17, 0.0, -2.7212384506478592e+17, -2.7212384506478592e+17, 0.0]
E   [right]: [nan, 5e+33, 0.5, 0.0, 0.5, 2.0, 0.0]

pandas/_libs/testing.pyx:167: AssertionError
_______________ test_rolling_var_numerical_issues[std-2-values3] _______________
[gw1] linux -- Python 3.9.15 $PREFIX/bin/python

func = 'std', third_value = 2
values = [7.071068e+16, 0.7071068, 0, 0.7071068, 1.414214, 0]

    @pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
    @pytest.mark.parametrize(
        ("func", "third_value", "values"),
        [
            ("var", 1, [5e33, 0, 0.5, 0.5, 2, 0]),
            ("std", 1, [7.071068e16, 0, 0.7071068, 0.7071068, 1.414214, 0]),
            ("var", 2, [5e33, 0.5, 0, 0.5, 2, 0]),
            ("std", 2, [7.071068e16, 0.7071068, 0, 0.7071068, 1.414214, 0]),
        ],
    )
    def test_rolling_var_numerical_issues(func, third_value, values):
        # GH: 37051
        ds = Series([99999999999999999, 1, third_value, 2, 3, 1, 1])
        result = getattr(ds.rolling(2), func)()
        expected = Series([np.nan] + values)
>       tm.assert_series_equal(result, expected)

$TEST_ENV/lib/python3.9/site-packages/pandas/tests/window/test_rolling.py:1209: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: Series are different
E   
E   Series values are different (42.85714 %)
E   [index]: [0, 1, 2, 3, 4, 5, 6]
E   [left]:  [nan, 7.071067811865475e+16, 0.0, 0.0, 0.0, 0.0, 0.0]
E   [right]: [nan, 7.071068e+16, 0.7071068, 0.0, 0.7071068, 1.414214, 0.0]

pandas/_libs/testing.pyx:167: AssertionError

Here's a link to the CI build (attached log for posterity).

@conda-forge-admin, please update version

Building with NumPy 2.0.0rc1

NumPy 2.0.0 is in the process of being released (currently on 2.0.0rc1) with a number of changes ( numpy/numpy#24300 ). Most notably the way we build with NumPy may need changes. This will involve building with the latest NumPy and then configuring builds to support older NumPy versions (and validating binaries target the intended NumPy version)

There is some discussion about this in issue ( conda-forge/numpy-feedstock#311 ) along with details on how to test builds with NumPy 2.0.0rc1. The next step to take here would be to try building the Pandas packages with NumPy 2.0.0rc1

Not sure what the state of Pandas support for NumPy 2 is (and whether we need an RC or new fixes). So getting a better idea on what is still needed on the Pandas side would help

add pandas-all

Comment:

I tried to install all of the optional dependencies with conda install -c conda-forge pandas-all, but that package isn't found.

Pandas dropna/isna is not working properly in float columns pandas 2.1.0

I've just upgrade Big Sur 11.0.1 and I'm facing some issue. Could anyone help ?

Issue:
Applying dropna/isna functions to DataFrame/Series. I've noted when the column is type 'object' it works properly.
Example:
df = pd.DataFrame([np.nan, 7, 5.5])
df.isna()

I get as result:
False
False
False

Example2:
df = pd.DataFrame([np.nan, 7, 5.5])
df.dropna()

I get as result the same DataFrame/Series:
Nan
7.0
5.5

pypy support

xref: conda-forge/climlab-feedstock#63

xref: #88

xref: #129

Are we building for pypy or are waiting for pypy38 to renable it? I don't see pypy in #129

@conda-forge-admin, please update version

Removed version 0.25.0

pandas 0.25.0 had some bugs with indexing that are solved in 0.25.1 but, for some reason, some users are getting the 0.25.0 in their envs. To avoid headaches in a workshop next week I removed the 0.25.0 from the main channel.

Failure with PyPy 7.3.12

Traceback (most recent call last):
  File "/Users/runner/miniforge3/conda-bld/pandas_1693426048240/test_tmp/run_test.py", line 2, in <module>
    import pandas
  File "/Users/runner/miniforge3/conda-bld/pandas_1693426048240/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeho/lib/pypy3.9/site-packages/pandas/__init__.py", line 46, in <module>
    from pandas.core.api import (
  File "/Users/runner/miniforge3/conda-bld/pandas_1693426048240/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeho/lib/pypy3.9/site-packages/pandas/core/api.py", line 1, in <module>
    from pandas._libs import (
  File "/Users/runner/miniforge3/conda-bld/pandas_1693426048240/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeho/lib/pypy3.9/site-packages/pandas/_libs/__init__.py", line 18, in <module>
    from pandas._libs.interval import Interval
TypeError: type 'cython_function_or_method' is not an acceptable base type

Do I need Cython 3 for this to work?
(pandas is currently pinned to 0.29.36 since we have some perf regressions on Cython 3)
cc @mattip

My Python 3.7 conda environment is forcing the base channel versions of pandas and numpy

Issue: I built a new conda environment with Python 3.7 (Python 3.7.1 conda-forge, which is latest at conda-forge), channels list being 'conda-forge' at top and 'defaults' at 2nd place. Most packages are from conda-forge in the env but curiously, numpy and pandas are from the defaults channel. Manually trying to install numpy and pandas from conda-forge channel is also not working.
conda install -c conda-forge pandas numpy

Collecting package metadata: done
Solving environment: done

## Package Plan ##

  environment location: /<>/anaconda3/envs/<>

  added / updated specs:
    - numpy
    - pandas


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    blas-1.0                   |              mkl           6 KB
    ------------------------------------------------------------
                                           Total:           6 KB

The following packages will be UPDATED:

  blas                                          conda-forge --> pkgs/main


Proceed ([y]/n)? n


Exiting.

Environment (conda list):

$ conda list

# packages in environment at /<>/anaconda3/envs/<>:
#
# Name                    Version                   Build  Channel
atk                       2.25.90           hf2eb9ee_1001    conda-forge
attrs                     18.2.0                     py_0    conda-forge
backcall                  0.1.0                      py_0    conda-forge
blas                      1.0                         mkl    conda-forge
bleach                    3.1.0                    pypi_0    pypi
bzip2                     1.0.6             h14c3975_1002    conda-forge
ca-certificates           2018.11.29           ha4d7672_0    conda-forge
cairo                     1.14.12           h80bd089_1005    conda-forge
certifi                   2018.11.29            py37_1000    conda-forge
cycler                    0.10.0                     py_1    conda-forge
dbus                      1.13.0            h4e0c4b3_1000    conda-forge
decorator                 4.3.0                      py_0    conda-forge
entrypoints               0.3                   py37_1000    conda-forge
expat                     2.2.5             hf484d3e_1002    conda-forge
fontconfig                2.13.1            h2176d3f_1000    conda-forge
freetype                  2.9.1             h3cfcefd_1004    conda-forge
gdk-pixbuf                2.36.12           h4f1c04b_1001    conda-forge
gettext                   0.19.8.1          h9745a5d_1001    conda-forge
glib                      2.56.2            had28632_1001    conda-forge
gmp                       6.1.2             hf484d3e_1000    conda-forge
gobject-introspection     1.56.1          py37h9e29830_1001    conda-forge
graphite2                 1.3.13            hf484d3e_1000    conda-forge
gst-plugins-base          1.12.5            h3865690_1000    conda-forge
gstreamer                 1.12.5            h0cc0488_1000    conda-forge
gtk2                      2.24.31           h5baeb44_1000    conda-forge
harfbuzz                  1.9.0             he243708_1001    conda-forge
icu                       58.2              hf484d3e_1000    conda-forge
intel-openmp              2019.1                      144  
ipykernel                 5.1.0           py37h24bf2e0_1001    conda-forge
ipython                   7.2.0           py37h24bf2e0_1000    conda-forge
ipython_genutils          0.2.0                      py_1    conda-forge
ipywidgets                7.4.2                      py_0    conda-forge
jedi                      0.13.2                py37_1000    conda-forge
jinja2                    2.10                       py_1    conda-forge
jpeg                      9c                h14c3975_1001    conda-forge
jsonschema                3.0.0a3               py37_1000    conda-forge
jupyter                   1.0.0                      py_1    conda-forge
jupyter_client            5.2.4                      py_0    conda-forge
jupyter_console           6.0.0                      py_0    conda-forge
jupyter_contrib_core      0.3.3                      py_2    conda-forge
jupyter_contrib_nbextensions 0.5.1                    py37_0    conda-forge
jupyter_core              4.4.0                      py_0    conda-forge
jupyter_highlight_selected_word 0.2.0                 py37_1000    conda-forge
jupyter_latex_envs        1.4.4                 py37_1000    conda-forge
jupyter_nbextensions_configurator 0.4.1                    py37_0    conda-forge
kiwisolver                1.0.1           py37h6bb024c_1002    conda-forge
libffi                    3.2.1             hf484d3e_1005    conda-forge
libgcc-ng                 7.3.0                hdf63c60_0    conda-forge
libgfortran               3.0.0                         1    conda-forge
libgfortran-ng            7.2.0                hdf63c60_3    conda-forge
libiconv                  1.15              h14c3975_1004    conda-forge
libpng                    1.6.36            h84994c4_1000    conda-forge
libsodium                 1.0.16            h14c3975_1001    conda-forge
libstdcxx-ng              7.3.0                hdf63c60_0    conda-forge
libtiff                   4.0.10            h648cc4a_1001    conda-forge
libuuid                   2.32.1            h14c3975_1000    conda-forge
libxcb                    1.13              h14c3975_1002    conda-forge
libxml2                   2.9.8             h143f9aa_1005    conda-forge
libxslt                   1.1.32            h4785a14_1002    conda-forge
lxml                      4.3.0           py37h23eabaa_1000    conda-forge
markupsafe                1.1.0           py37h14c3975_1000    conda-forge
matplotlib                3.0.2           py37h8a2030e_1001    conda-forge
matplotlib-base           3.0.2           py37h167e16e_1001    conda-forge
mistune                   0.8.4           py37h14c3975_1000    conda-forge
mkl                       2019.1                      144  
mkl_fft                   1.0.10           py37ha843d7b_0  
mkl_random                1.0.2            py37hd81dba3_0  
nbconvert                 5.3.1                      py_1    conda-forge
nbformat                  4.4.0                      py_1    conda-forge
ncurses                   6.1               hf484d3e_1002    conda-forge
notebook                  5.7.4                 py37_1000    conda-forge
numpy                     1.15.4           py37h7e9f1db_0  
numpy-base                1.15.4           py37hde5b4d6_0  
openblas                  0.3.5             h9ac9557_1000    conda-forge
openssl                   1.0.2p            h14c3975_1002    conda-forge
pandas                    0.23.4          py37h637b7d7_1000    conda-forge
pandoc                    2.5                           0    conda-forge
pandocfilters             1.4.2                      py_1    conda-forge
pango                     1.40.14           hf0c64fd_1003    conda-forge
parso                     0.3.1                      py_0    conda-forge
patsy                     0.5.1                      py_0    conda-forge
pcre                      8.41              hf484d3e_1003    conda-forge
pexpect                   4.6.0                 py37_1000    conda-forge
pickleshare               0.7.5                 py37_1000    conda-forge
pip                       18.1                  py37_1000    conda-forge
pixman                    0.34.0            h14c3975_1003    conda-forge
prometheus_client         0.5.0                      py_0    conda-forge
prompt_toolkit            2.0.7                      py_0    conda-forge
pthread-stubs             0.4               h14c3975_1001    conda-forge
ptyprocess                0.6.0                 py37_1000    conda-forge
pygments                  2.3.1                      py_0    conda-forge
pyparsing                 2.3.1                      py_0    conda-forge
pyqt                      5.6.0           py37h13b7fb3_1008    conda-forge
pyrsistent                0.14.9          py37h14c3975_1000    conda-forge
python                    3.7.1             hd21baee_1000    conda-forge
python-dateutil           2.7.5                      py_0    conda-forge
pytz                      2018.9                     py_0    conda-forge
pyyaml                    3.13            py37h14c3975_1001    conda-forge
pyzmq                     17.1.2          py37h6afc9c9_1001    conda-forge
qt                        5.6.2             hf516382_1011    conda-forge
qtconsole                 4.4.3                      py_0    conda-forge
readline                  7.0               hf8c457e_1001    conda-forge
scikit-learn              0.20.2           py37hd81dba3_0  
scipy                     1.1.0            py37h7c811a0_2  
send2trash                1.5.0                      py_0    conda-forge
setuptools                40.6.3                   py37_0    conda-forge
sip                       4.18.1          py37hf484d3e_1000    conda-forge
six                       1.12.0                py37_1000    conda-forge
sqlite                    3.26.0            h67949de_1000    conda-forge
statsmodels               0.9.0           py37h3010b51_1000    conda-forge
terminado                 0.8.1                 py37_1001    conda-forge
testpath                  0.4.2                 py37_1000    conda-forge
tk                        8.6.9             h84994c4_1000    conda-forge
tornado                   5.1.1           py37h14c3975_1000    conda-forge
tqdm                      4.29.1                     py_0    conda-forge
traitlets                 4.3.2                 py37_1000    conda-forge
wcwidth                   0.1.7                      py_1    conda-forge
webencodings              0.5.1                      py_1    conda-forge
wheel                     0.32.3                   py37_0    conda-forge
widgetsnbextension        3.4.2                 py37_1000    conda-forge
xorg-kbproto              1.0.7             h14c3975_1002    conda-forge
xorg-libice               1.0.9             h14c3975_1004    conda-forge
xorg-libsm                1.2.3             h4937e3b_1000    conda-forge
xorg-libx11               1.6.6             h14c3975_1000    conda-forge
xorg-libxau               1.0.8             h14c3975_1006    conda-forge
xorg-libxdmcp             1.1.2             h14c3975_1007    conda-forge
xorg-libxext              1.3.3             h14c3975_1004    conda-forge
xorg-libxrender           0.9.10            h14c3975_1002    conda-forge
xorg-libxt                1.1.5             h14c3975_1002    conda-forge
xorg-renderproto          0.11.1            h14c3975_1002    conda-forge
xorg-xextproto            7.3.0             h14c3975_1002    conda-forge
xorg-xproto               7.0.31            h14c3975_1007    conda-forge
xz                        5.2.4             h14c3975_1001    conda-forge
yaml                      0.1.7             h14c3975_1001    conda-forge
zeromq                    4.2.5             hf484d3e_1006    conda-forge
zlib                      1.2.11            h14c3975_1004    conda-forge

Details about conda and system ( conda info ):

$ conda info

     active environment : <>
    active env location : /<>/anaconda3/envs/<>
            shell level : 1
       user config file : /<>/.condarc
 populated config files : /<>/.condarc
          conda version : 4.6.0
    conda-build version : 3.17.5
         python version : 3.6.7.final.0
       base environment : /<>/anaconda3  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/linux-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /<>/anaconda3/pkgs
                          /<>/.conda/pkgs
       envs directories : /<>/anaconda3/envs
                          /<>/.conda/envs
               platform : linux-64
             user-agent : conda/4.6.0 requests/2.21.0 CPython/3.6.7 Linux/4.15.0-43-generic ubuntu/18.04.1 glibc/2.27
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False

Mac py3.6 build is failing

https://travis-ci.org/conda-forge/pandas-feedstock/builds/186561914

End of log says (https://travis-ci.org/conda-forge/pandas-feedstock/jobs/186561921):

creating build/temp.macosx-10.7-x86_64-3.6/pandas

gcc -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -arch x86_64 -Ipandas/src/klib -Ipandas/src -I/Users/travis/miniconda3/envs/_build_placehold_placehold_placehold_placehold_pla/lib/python3.6/site-packages/numpy/core/include -I/Users/travis/miniconda3/envs/_build_placehold_placehold_placehold_placehold_pla/include/python3.6m -c pandas/lib.c -o build/temp.macosx-10.7-x86_64-3.6/pandas/lib.o -Wno-unused-function

error: $MACOSX_DEPLOYMENT_TARGET mismatch: now "10.6" but "10.7" during configure

Command failed: /bin/bash -x -e /Users/travis/miniconda3/conda-bld/work/pandas-0.19.2/conda_build.sh

@conda-forge-admin, update version

Additional comment:

No response

Pandas 2.0.3 crashing on all 3 major platforms

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

Seeing

Traceback (most recent call last):
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/test_tmp/run_test.py", line 2, in <module>
    import arch
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/__init__.py", line 2, in <module>
    from .univariate.mean import arch_model
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/univariate/__init__.py", line 5, in <module>
    from arch.univariate import recursions_python
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/univariate/recursions_python.py", line 9, in <module>
    from arch.compat.numba import jit
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/compat/numba.py", line 5, in <module>
    from arch.utility.exceptions import PerformanceWarning
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/utility/__init__.py", line 5, in <module>
    from arch.utility.cov import cov_nw
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/utility/cov.py", line 5, in <module>
    from arch.typing import Float64Array
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/arch/typing.py", line 8, in <module>
    from pandas import DataFrame, Series, Timestamp
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/pandas/__init__.py", line 22, in <module>
    from pandas.compat import is_numpy_dev as _is_numpy_dev  # pyright: ignore # noqa:F401
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/pandas/compat/__init__.py", line 25, in <module>
    from pandas.compat.numpy import (
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/pandas/compat/numpy/__init__.py", line 4, in <module>
    from pandas.util.version import Version
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/pandas/util/__init__.py", line 2, in <module>
    from pandas.util._decorators import (  # noqa:F401
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/pandas/util/_decorators.py", line 14, in <module>
    from pandas._libs.properties import cache_readonly
  File "/Users/runner/miniforge3/conda-bld/arch-py_1695814679546/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/lib/pypy3.9/site-packages/pandas/_libs/__init__.py", line 13, in <module>
    from pandas._libs.interval import Interval
TypeError: type 'cython_function_or_method' is not an acceptable base type

when importing pandas. THis has affected the statsmodels feedstock and arch-py feedstock.

Installed packages

libffi:                  3.4.2-h8ffe710_5            conda-forge
    libhwloc:                2.9.3-default_haede6df_1009 conda-forge
    libiconv:                1.17-h8ffe710_0             conda-forge
    liblapack:               3.9.0-18_win64_mkl          conda-forge
    libsqlite:               3.43.0-hcfcfb64_0           conda-forge
    libxml2:                 2.11.5-hc3477c8_1           conda-forge
    libzlib:                 1.2.13-hcfcfb64_5           conda-forge
    m2w64-gcc-libgfortran:   5.3.0-6                     conda-forge
    m2w64-gcc-libs:          5.3.0-7                     conda-forge
    m2w64-gcc-libs-core:     5.3.0-7                     conda-forge
    m2w64-gmp:               6.1.0-2                     conda-forge
    m2w64-libwinpthread-git: 5.0.0.4634.697f757-2        conda-forge
    mkl:                     2022.1.0-h6a75c08_874       conda-forge
    msys2-conda-epoch:       20160418-1                  conda-forge
    numpy:                   1.25.2-py39h821adfb_0       conda-forge
    openssl:                 3.1.3-hcfcfb64_0            conda-forge
    packaging:               23.1-pyhd8ed1ab_0           conda-forge
    pandas:                  2.0.3-py39haf6a60e_1        conda-forge
    patsy:                   0.5.3-pyhd8ed1ab_0          conda-forge
    pip:                     23.2.1-pyhd8ed1ab_0         conda-forge
    platformdirs:            3.10.0-pyhd8ed1ab_0         conda-forge
    pooch:                   1.7.0-pyha770c72_3          conda-forge
    pthreads-win32:          2.9.1-hfa6e2cd_3            conda-forge
    pypy3.9:                 7.3.12-h994e1e7_5           conda-forge
    pysocks:                 1.7.1-pyh0701188_6          conda-forge
    python:                  3.9.17-0_73_pypy            conda-forge
    python-dateutil:         2.8.2-pyhd8ed1ab_0          conda-forge
    python-tzdata:           2023.3-pyhd8ed1ab_0         conda-forge
    python_abi:              3.9-4_pypy39_pp73           conda-forge
    pytz:                    2023.3.post1-pyhd8ed1ab_0   conda-forge
    requests:                2.31.0-pyhd8ed1ab_0         conda-forge
    scipy:                   1.11.2-py39hbf2a3dc_0       conda-forge
    setuptools:              68.2.2-pyhd8ed1ab_0         conda-forge
    six:                     1.16.0-pyh6c4a22f_0         conda-forge
    sqlite:                  3.43.0-hcfcfb64_0           conda-forge
    statsmodels:             0.14.0-py39hea5744f_1       conda-forge
    tbb:                     2021.10.0-h91493d7_1        conda-forge
    tk:                      8.6.13-hcfcfb64_0           conda-forge
    typing-extensions:       4.8.0-hd8ed1ab_0            conda-forge
    typing_extensions:       4.8.0-pyha770c72_0          conda-forge
    tzdata:                  2023c-h71feb2d_0            conda-forge
    ucrt:                    10.0.22621.0-h57928b3_0     conda-forge
    urllib3:                 2.0.5-pyhd8ed1ab_0          conda-forge
    vc:                      14.3-h64f974e_17            conda-forge
    vc14_runtime:            14.36.32532-hdcecf7f_17     conda-forge
    vs2015_runtime:          14.36.32532-h05e6639_17     conda-forge
    wheel:                   0.41.2-pyhd8ed1ab_0         conda-forge
    win_inet_pton:           1.1.0-pyhd8ed1ab_6          conda-forge
    xz:                      5.2.6-h8d14728_0            conda-forge
    zlib:                    1.2.13-hcfcfb64_5           conda-forge



### Environment info

```shell
Log example here:

https://dev.azure.com/conda-forge/feedstock-builds/_build/results?buildId=789882&view=logs&jobId=5be07ae1-d8ba-5406-47b6-8e3a3a12f825&j=5be07ae1-d8ba-5406-47b6-8e3a3a12f825&t=c94d5231-acfc-5e67-dafc-77bdd383ead4

Large package size

Uncompressed this package is around 100MB. For comparison the package on defaults is around 40MB

conda create -n size-pandas-defaults -c defaults pandas nomkl
conda create -n size-pandas -c conda-forge pandas nomkl

$ du -s size-pandas/lib/python3.7/site-packages/* | sort -nr | head -5
106084	size-pandas/lib/python3.7/site-packages/pandas
19676	size-pandas/lib/python3.7/site-packages/numpy
8532	size-pandas/lib/python3.7/site-packages/pip
2772	size-pandas/lib/python3.7/site-packages/pytz
2172	size-pandas/lib/python3.7/site-packages/setuptools

$ du -s size-pandas-defaults/lib/python3.7/site-packages/* | sort -nr | head -5
42436	size-pandas-defaults/lib/python3.7/site-packages/pandas
19592	size-pandas-defaults/lib/python3.7/site-packages/numpy
8388	size-pandas-defaults/lib/python3.7/site-packages/pip
2772	size-pandas-defaults/lib/python3.7/site-packages/pytz
2172	size-pandas-defaults/lib/python3.7/site-packages/setuptools

Rebuild for Python 3.10

What needs to be done to rebuild this for Python 3.10?

As far as I can tell, all of the dependencies from the recipe have been rebuilt already (or are agnostic). However, those rebuilds were triggered automatically, e.g. conda-forge/numpy-feedstock#245 and conda-forge/cython-feedstock#80. Is it just a matter of waiting until @regro-cf-autotick-bot decides to trigger it?

https://conda-forge.org/status/#python310 lists it as unsolvable, which seems odd given the above.

pandas (450) Error: not solvable (bot CI job): master: [
'linux_64_numpy1.21python3.10.____cpython: Encountered problems while solving:\n - package cython-0.29.17-py36he6710b0_0 requires python >=3.6,<3.7.0a0, but none of the providers can be installed\n',
'linux_aarch64_numpy1.21python3.10.____cpython: Encountered problems while solving:\n - nothing provides openssl >=1.0.2p,<1.0.3a needed by python-3.7.1-hd75c258_1001\n',
'linux_ppc64le_numpy1.21python3.10.____cpython: Encountered problems while solving:\n - package cython-0.29.17-py36he6710b0_0 requires python >=3.6,<3.7.0a0, but none of the providers can be installed\n',
'osx_64_numpy1.21python3.10.____cpython: Encountered problems while solving:\n - package cython-0.29.17-py36h0a44026_0 requires python >=3.6,<3.7.0a0, but none of the providers can be installed\n',
'osx_arm64_numpy1.21python3.10.____cpython: Encountered problems while solving:\n - package cython-0.29.23-py38hc4ed4cf_0 requires python >=3.8,<3.9.0a0, but none of the providers can be installed\n',
'win_64_numpy1.21python3.10.____cpython: Encountered problems while solving:\n - package cython-0.29.17-py36ha925a31_0 requires python >=3.6,<3.7.0a0, but none of the providers can be installed\n'
]

I'm not complaining. I'm just trying to understand what the process is.

Duplicated key url in meta.yaml

When trying to process meta.yaml using ruamel_yaml it shows a error. It can be suppressed now, but it will become a real error in future. If you want to use several sources you have to use a list like that:

source:
  - url: <first url here>
    sha256: <checksum for the url above>
  - url: <second url here>

Otherwise YAML parsers raise DuplicatedKeyError or another exception with the same meaning.

Pandas requires specific version of dateutil

Issue:
In updating another package, conda bumped me up to pandas 0.23. However, when running code, I get this error:

ImportError in line 27 of /data/jmeppley/projects/Aloha_2_0/workflows/annotation.gene_catalog.snake:
dateutil 2.5.0 is the minimum required version
  File "/data/jmeppley/projects/Aloha_2_0/workflows/annotation.gene_catalog.snake", line 27, in <module>
  File "/data/jmeppley/projects/Aloha_2_0/catalog/conda.env/lib/python3.5/site-packages/pandas/__init__.py", line 23, in <module>
  File "/data/jmeppley/projects/Aloha_2_0/catalog/conda.env/lib/python3.5/site-packages/pandas/compat/__init__.py", line 421, in <module>

Explicitly updating python-dateutil solved my problem. Should we add the requirement to the latest recipe?

Original Environment:

I don't have the `conda list` output from the broken envirotnment, ``` (/home/jmeppley/projects/Aloha_2_0/catalog/conda.env) [jmeppley@glutamate catalog]$ conda install -c conda-forge -c bioconda -c jmeppley "py-metagenomics=1.1.1" "pandas=0.22" "numpy=1.12" Solving environment: done

==> WARNING: A newer version of conda exists. <==
current version: 4.5.9
latest version: 4.5.11

Please update conda by running

$ conda update -n base -c defaults conda

Package Plan

environment location: /home/jmeppley/projects/Aloha_2_0/catalog/conda.env

added / updated specs:
- numpy=1.12
- pandas=0.22
- py-metagenomics=1.1.1

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
openblas-0.2.20            |                8        17.0 MB  conda-forge
numpy-base-1.14.3          |   py35h0ea5e3f_1         4.0 MB
numpy-1.12.1               |py35_blas_openblas_201         8.5 MB  conda-forge
------------------------------------------------------------
                                       Total:        29.5 MB

The following NEW packages will be INSTALLED:

libgfortran: 3.0.0-1               conda-forge
libopenblas: 0.2.20-h9ac9557_7
openblas:    0.2.20-8              conda-forge

The following packages will be UPDATED:

biopython:       1.70-np112py35_1      bioconda    --> 1.72-py35_0           conda-forge
ca-certificates: 2018.1.18-0           conda-forge --> 2018.8.24-ha4d7672_0  conda-forge
certifi:         2018.1.18-py35_0      conda-forge --> 2018.8.24-py35_1      conda-forge
numpy:           1.12.1-py35hca0bb5e_1             --> 1.14.3-py35hcd700cb_1
openssl:         1.0.2o-0              conda-forge --> 1.0.2p-h470a237_0     conda-forge
pandas:          0.22.0-py35_0         conda-forge --> 0.23.0-py35_0         conda-forge
py-metagenomics: 1.0.0-py35_0          jmeppley    --> 1.1.1-py35_0          jmeppley

Proceed ([y]/n)? y

Downloading and Extracting Packages
biopython-1.72 | 2.8 MB | ############################################################################################################################ | 100%
mkl_fft-1.0.6 | 574 KB | ############################################################################################################################ | 100%
certifi-2018.8.24 | 138 KB | ############################################################################################################################ | 100%
pandas-0.23.0 | 28.9 MB | ############################################################################################################################ | 100%
py-metagenomics-1.1. | 232 KB | ############################################################################################################################ | 100%
numpy-1.14.3 | 41 KB | ############################################################################################################################ | 100%
numpy-base-1.14.3 | 4.1 MB | ############################################################################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(/home/jmeppley/projects/Aloha_2_0/catalog/conda.env) [jmeppley@glutamate catalog]$ conda list | grep date
python-dateutil 2.3 py35_0 bioconda

</details>

<br/>
Simple Environment to reproduce:

I was able to reproduce the error by explicilty installing mismatched packages with:

conda create -n brokepanda -c conda-forge pandas "python-dateutil<2.5"

<details>

Packages installed:
. . .
The following NEW packages will be INSTALLED:

blas:            1.0-mkl
bzip2:           1.0.6-h470a237_2      conda-forge
ca-certificates: 2018.8.24-ha4d7672_0  conda-forge
certifi:         2018.8.24-py35_1      conda-forge
intel-openmp:    2019.0-118
libffi:          3.2.1-hfc679d8_5      conda-forge
libgcc-ng:       7.2.0-hdf63c60_3      conda-forge
libgfortran-ng:  7.2.0-hdf63c60_3      conda-forge
libstdcxx-ng:    7.2.0-hdf63c60_3      conda-forge
mkl:             2019.0-118
mkl_fft:         1.0.6-py35_0          conda-forge
mkl_random:      1.0.1-py35_0          conda-forge
ncurses:         6.1-hfc679d8_1        conda-forge
numpy:           1.15.0-py35h1b885b7_0
numpy-base:      1.15.0-py35h3dfced4_0
openssl:         1.0.2p-h470a237_0     conda-forge
pandas:          0.23.0-py35_0         conda-forge
pip:             18.0-py35_1           conda-forge
python:          3.5.5-h5001a0f_2      conda-forge
python-dateutil: 2.4.2-py35_0
pytz:            2018.5-py_0           conda-forge
readline:        7.0-haf1bffa_1        conda-forge
setuptools:      40.4.0-py35_0         conda-forge
six:             1.11.0-py35_1         conda-forge
sqlite:          3.25.1-hb1c47c0_0     conda-forge
tk:              8.6.8-ha92aebf_0      conda-forge
wheel:           0.31.1-py35_1         conda-forge
xz:              5.2.4-h470a237_1      conda-forge
zlib:            1.2.11-h470a237_3     conda-forge

. . .


Getting the error:

(brokepanda) [jmeppley@glutamate ~]$ python
Python 3.5.5 | packaged by conda-forge | (default, Jul 23 2018, 23:45:43)
[GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux
Type "help", "copyright", "credits" or "license" for more information.

import pandas
Traceback (most recent call last):
File "", line 1, in
File "/home/jmeppley/.conda/envs/brokepanda/lib/python3.5/site-packages/pandas/init.py", line 23, in
from pandas.compat.numpy import *
File "/home/jmeppley/.conda/envs/brokepanda/lib/python3.5/site-packages/pandas/compat/init.py", line 421, in
raise ImportError('dateutil 2.5.0 is the minimum required version')
ImportError: dateutil 2.5.0 is the minimum required version

</details>

<br/>
Details about  <code>conda</code> and system ( <code>conda info</code> ):
<details>

$ conda info
active environment : /home/jmeppley/projects/Aloha_2_0/catalog/conda.env
active env location : /home/jmeppley/projects/Aloha_2_0/catalog/conda.env
shell level : 1
user config file : /home/jmeppley/.condarc
populated config files :
conda version : 4.5.9
conda-build version : not installed
python version : 3.6.4.final.0
base environment : /data/jmeppley/miniconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
package cache : /data/jmeppley/miniconda3/pkgs
/home/jmeppley/.conda/pkgs
envs directories : /data/jmeppley/miniconda3/envs
/home/jmeppley/.conda/envs
platform : linux-64
user-agent : conda/4.5.9 requests/2.18.4 CPython/3.6.4 Linux/4.8.13-100.fc23.x86_64 fedora/23 glibc/2.22
UID:GID : 2000:520
netrc file : None
offline mode : False

</details>

@conda-forge-admin, please update version

[warning] failed package validation and/or copy for commit d5427e6d3fa3a233598c491a333e6e508327fb70

Hi @conda-forge/pandas! This is the friendly automated conda-forge-webservice!

It appears that one or more of your feedstock's outputs did not copy from the
staging channel (cf-staging) to the production channel (conda-forge). :(

This failure can happen for a lot of reasons, including an outdated feedstock
token. Below we have put some information about the failure to help you debug it.

Rerendering the feedstock will usually fix these problems.

If you have any issues or questions, you can find us on gitter in the
community chat room or you can bump us right here.

error messages:

invalid feedstock token

How to use multiple channels

Hello!

I built a pandas environment from my miniconda via

conda create -n myenv pandas

using conda-forge channel,

and the resulting environment isn't functional on my Linux x64 machine.

When I do the same using defaults channel, I get a functional pandas environment.

I don't have the time to look into it myself, and just wanted to let you know that your feedstock is broken atm.

Best

pandas 1.5.1 is compatible with Python 3.11

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

With Python 3.11 now available from conda-forge, pandas dependencies should be updated to include compatibility with it.

Installed packages

# packages in environment at c:\Users\user\Miniconda3\envs\py311:
#
# Name                    Version                   Build  Channel
bzip2                     1.0.8                h8ffe710_4    conda-forge
ca-certificates           2022.9.24            h5b45459_0    conda-forge
libffi                    3.4.2                h8ffe710_5    conda-forge
libsqlite                 3.39.4               hcfcfb64_0    conda-forge
libzlib                   1.2.13               hcfcfb64_4    conda-forge
openssl                   3.0.5                hcfcfb64_2    conda-forge
pip                       22.3               pyhd8ed1ab_0    conda-forge
python                    3.11.0          hcf16a7b_0_cpython    conda-forge
setuptools                65.5.0             pyhd8ed1ab_0    conda-forge
tk                        8.6.12               h8ffe710_0    conda-forge
tzdata                    2022e                h191b570_0    conda-forge
ucrt                      10.0.22621.0         h57928b3_0    conda-forge
vc                        14.3                 h3d8a991_9    conda-forge
vs2015_runtime            14.32.31332          h1d6e394_9    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
xz                        5.2.6                h8d14728_0    conda-forge

Environment info

active environment : py311
    active env location : c:\Users\user\Miniconda3\envs\py311
            shell level : 2
       user config file : C:\Users\user\.condarc
 populated config files : C:\Users\user\.condarc
          conda version : 22.9.0
    conda-build version : not installed
         python version : 3.9.13.final.0
       virtual packages : __win=0=0
                          __archspec=1=x86_64
       base environment : c:\Users\user\Miniconda3  (writable)
      conda av data dir : c:\Users\user\Miniconda3\etc\conda
  conda av metadata url : None
           channel URLs : https://conda.anaconda.org/conda-forge/win-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : c:\Users\user\Miniconda3\pkgs
                          C:\Users\user\.conda\pkgs
                          C:\Users\user\AppData\Local\conda\conda\pkgs
       envs directories : c:\Users\user\Miniconda3\envs
                          C:\Users\user\.conda\envs
                          C:\Users\user\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/22.9.0 requests/2.28.1 CPython/3.9.13 Windows/10 Windows/10.0.19044
          administrator : False
             netrc file : None
           offline mode : False

Please fix 1.4.x released build dependencies

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

It is currently possible to install incompatible pytz/python-dateutil dependencies, for example using: conda create -n test "pandas==1.4.2" "pytz<2020.1"

For how to do this, see: https://conda-forge.org/docs/maintainer/updating_pkgs.html#removing-broken-packages

Installed packages

bzip2              conda-forge/osx-64::bzip2-1.0.8-h0d85af4_4
  ca-certificates    conda-forge/osx-64::ca-certificates-2022.6.15-h033912b_0
  libblas            conda-forge/osx-64::libblas-3.9.0-15_osx64_openblas
  libcblas           conda-forge/osx-64::libcblas-3.9.0-15_osx64_openblas
  libcxx             conda-forge/osx-64::libcxx-14.0.6-hce7ea42_0
  libffi             conda-forge/osx-64::libffi-3.4.2-h0d85af4_5
  libgfortran        conda-forge/osx-64::libgfortran-5.0.0-9_3_0_h6c81a4c_23
  libgfortran5       conda-forge/osx-64::libgfortran5-9.3.0-h6c81a4c_23
  liblapack          conda-forge/osx-64::liblapack-3.9.0-15_osx64_openblas
  libopenblas        conda-forge/osx-64::libopenblas-0.3.20-openmp_hb3cd9ec_0
  libzlib            conda-forge/osx-64::libzlib-1.2.12-hfe4f2af_1
  llvm-openmp        conda-forge/osx-64::llvm-openmp-14.0.4-ha654fa7_0
  ncurses            conda-forge/osx-64::ncurses-6.3-h96cf925_1
  numpy              conda-forge/osx-64::numpy-1.23.0-py310ha3f357c_0
  openssl            conda-forge/osx-64::openssl-3.0.5-hfe4f2af_0
  pandas             conda-forge/osx-64::pandas-1.4.2-py310h514ec25_1
  pip                conda-forge/noarch::pip-22.1.2-pyhd8ed1ab_0
  python             conda-forge/osx-64::python-3.10.5-hdd68b96_0_cpython
  python-dateutil    conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0
  python_abi         conda-forge/osx-64::python_abi-3.10-2_cp310
  pytz               conda-forge/noarch::pytz-2019.3-py_0
  readline           conda-forge/osx-64::readline-8.1.2-h3899abd_0
  setuptools         conda-forge/osx-64::setuptools-63.1.0-py310h2ec42d9_0
  six                conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
  sqlite             conda-forge/osx-64::sqlite-3.39.0-hd9f0692_0
  tk                 conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
  tzdata             conda-forge/noarch::tzdata-2022a-h191b570_0
  wheel              conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
  xz                 conda-forge/osx-64::xz-5.2.5-haf1e3a3_1
  zlib               conda-forge/osx-64::zlib-1.2.12-hfe4f2af_1

Environment info

active environment : base
    active env location : /Users/chrisjsewell/opt/miniconda3
            shell level : 1
       user config file : /Users/chrisjsewell/.condarc
 populated config files : /Users/chrisjsewell/.condarc
          conda version : 4.13.0
    conda-build version : 3.21.9
         python version : 3.8.13.final.0
       virtual packages : __osx=10.15.7=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /Users/chrisjsewell/opt/miniconda3  (writable)
      conda av data dir : /Users/chrisjsewell/opt/miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://conda.anaconda.org/conda-forge/osx-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/osx-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/osx-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /Users/chrisjsewell/opt/miniconda3/pkgs
                          /Users/chrisjsewell/.conda/pkgs
       envs directories : /Users/chrisjsewell/opt/miniconda3/envs
                          /Users/chrisjsewell/.conda/envs
               platform : osx-64
             user-agent : conda/4.13.0 requests/2.28.1 CPython/3.8.13 Darwin/19.6.0 OSX/10.15.7
                UID:GID : 501:20
             netrc file : None
           offline mode : False

Running test suite on PyPy segfaults

It appears attempting to run the test suite on PyPy segfaults. See this CI build (also included the attached log for posterity). While this log is with Linux, this appears to happen on all OSes.

pypy build failing

In #86 the pypy build failed, possibly on the numpy selector

failed to parse packages from exception: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package certifi conflicts for:
pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
cython[version='>=0.29.16'] -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']

Package expat conflicts for:
python=3.6[build=*_73_pypy] -> pypy3.6=7.3.1 -> expat[version='>=2.2.9,<2.3.0a0']
cython[version='>=0.29.16'] -> pypy3.6[version='>=7.3.1'] -> expat[version='>=2.2.9,<2.3.0a0']

Package readline conflicts for:
pip -> python[version='>=3'] -> readline[version='6.2.*|7.0|>=7.0,<8.0a0|>=8.0,<9.0a0|7.*|7.0.*']
numpy=1.15.4 -> python[version='>=3.7,<3.8.0a0'] -> readline[version='6.2.*|7.0|>=7.0,<8.0a0|>=8.0,<9.0a0|7.*|7.0.*']
cython[version='>=0.29.16'] -> python[version='>=3.6,<3.7.0a0'] -> readline[version='6.2.*|7.0|>=7.0,<8.0a0|>=8.0,<9.0a0|7.*']

Package ca-certificates conflicts for:
pip -> python -> ca-certificates
numpy=1.15.4 -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates

Package python conflicts for:
numpy=1.15.4 -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0']
python=3.6[build=*_73_pypy]
cython[version='>=0.29.16'] -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0']
numpy=1.15.4 -> mkl_fft[version='>=1.0.6,<2.0a0'] -> python[version='2.7.*|3.5.*|3.6.*|>=3.8,<3.9.0a0|>=3.5,<3.6.0a0']
cython[version='>=0.29.16'] -> python_abi=3.6[build=*_cp36m] -> python[version='2.7.*|3.5.*|3.6.*|3.8.*|3.7.*|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|3.4.*']
pip -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.5,<3.6.0a0|3.4.*']

Package libcxx conflicts for:
cython[version='>=0.29.16'] -> python[version='>=3.6,<3.7.0a0'] -> libcxx[version='>=10.0.1|>=9.0.0']
numpy=1.15.4 -> python[version='>=3.7,<3.8.0a0'] -> libcxx[version='>=10.0.0|>=9.0.1|>=9.0.0|>=10.0.1']
cython[version='>=0.29.16'] -> libcxx[version='>=10.0.0|>=9.0.1|>=4.0.1']
numpy=1.15.4 -> libcxx[version='>=4.0.1']
pip -> python[version='>=3'] -> libcxx[version='>=10.0.0|>=10.0.1|>=9.0.1|>=9.0.0|>=4.0.1']
libcxx[version='>=10.0.1']

Package libcxxabi conflicts for:
numpy=1.15.4 -> libcxx[version='>=4.0.1'] -> libcxxabi[version='4.0.1|4.0.1|8.0.0|8.0.0|8.0.0|8.0.0|8.0.1',build='hebd6815_0|3|4|0|2|1|hcfea43d_1']
cython[version='>=0.29.16'] -> libcxx[version='>=4.0.1'] -> libcxxabi[version='4.0.1|4.0.1|8.0.0|8.0.0|8.0.0|8.0.0|8.0.1',build='hebd6815_0|3|4|0|2|1|hcfea43d_1']
Note that strict channel priority may have removed packages required for satisfiability.

@conda-forge-admin, please update version

Should we consider removing the tests files from the final package?

Comment:

Pandas is the largest package in my environments reaching ~73 MB, almost half of that is in the test folder. I don't know how useful the tests are for an installed artifact and I wonder if we should remove them from the final package.

PS: The same happens in the wheel and download times would be greatly improved if the tests were removed there too.

Test failures with NumPy 1.24

Seeing test failures on main like the following (taken from this build also attached log):

<tests>/extension/test_sparse.py::TestReshaping::test_stack[0-columns0]
<tests>/extension/test_sparse.py::TestReshaping::test_stack[0-columns1]
<tests>/extension/test_sparse.py::TestMissing::test_fillna_limit_pad[0]
<tests>/extension/test_sparse.py::TestMissing::test_fillna_limit_backfill[0]
<tests>/extension/test_sparse.py::TestMissing::test_fillna_no_op_returns_copy[0]
<tests>/extension/test_sparse.py::TestMissing::test_fillna_series_method[0]
<tests>/frame/methods/test_sort_values.py::TestDataFrameSortValues::test_sort_values_sparse_no_warning[uint8]
<tests>/frame/methods/test_sort_values.py::TestDataFrameSortValues::test_sort_values_sparse_no_warning[bool]
<tests>/series/test_constructors.py::TestSeriesConstructors::test_constructor_signed_int_overflow_deprecation

Based on discussion offline with @mroeschke, these appear to be due to recent NumPy deprecations.

Note: This resulted in most of the CPython packages from PR ( #147 ) not being published.

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