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numpy.core.multiarray failed to import #22910

Open baneenali444 opened 2 weeks ago

baneenali444 commented 2 weeks ago

Description

What steps will reproduce the problem?

after installing xgboost library the xgboost model did not work at first and then this error kept showing up to me

ImportError: numpy.core.multiarray failed to import after that i have updated numpy to numpy 2.1.3 and the error is still there

Traceback


A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "E:\report2\ana\Lib\site-packages\spyder\plugins\application\container.py", line 492, in _compute_dependencies
    dependencies.declare_dependencies()
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 458, in declare_dependencies
    add(dep['modname'], dep['package_name'],
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 389, in add
    DEPENDENCIES += [Dependency(modname, package_name, features,
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 331, in __init__
    self.installed_version = programs.get_module_version(modname)
  File "E:\report2\ana\Lib\site-packages\spyder\utils\programs.py", line 839, in get_module_version
    mod = __import__(module_name)
  File "E:\report2\ana\Lib\site-packages\matplotlib\__init__.py", line 161, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "E:\report2\ana\Lib\site-packages\matplotlib\rcsetup.py", line 27, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "E:\report2\ana\Lib\site-packages\matplotlib\colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "E:\report2\ana\Lib\site-packages\matplotlib\scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "E:\report2\ana\Lib\site-packages\matplotlib\ticker.py", line 143, in <module>
    from matplotlib import transforms as mtransforms
  File "E:\report2\ana\Lib\site-packages\matplotlib\transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "C:\Users\بنين علي\AppData\Roaming\Python\Python312\site-packages\numpy\core\_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "E:\report2\ana\Lib\site-packages\spyder\plugins\application\container.py", line 492, in _compute_dependencies
    dependencies.declare_dependencies()
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 458, in declare_dependencies
    add(dep['modname'], dep['package_name'],
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 389, in add
    DEPENDENCIES += [Dependency(modname, package_name, features,
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 331, in __init__
    self.installed_version = programs.get_module_version(modname)
  File "E:\report2\ana\Lib\site-packages\spyder\utils\programs.py", line 839, in get_module_version
    mod = __import__(module_name)
  File "E:\report2\ana\Lib\site-packages\pandas\__init__.py", line 26, in <module>
    from pandas.compat import (
  File "E:\report2\ana\Lib\site-packages\pandas\compat\__init__.py", line 27, in <module>
    from pandas.compat.pyarrow import (
  File "E:\report2\ana\Lib\site-packages\pandas\compat\pyarrow.py", line 8, in <module>
    import pyarrow as pa
  File "E:\report2\ana\Lib\site-packages\pyarrow\__init__.py", line 65, in <module>
    import pyarrow.lib as _lib
Traceback (most recent call last):
  File "C:\Users\بنين علي\AppData\Roaming\Python\Python312\site-packages\numpy\core\_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "E:\report2\ana\Lib\site-packages\spyder\plugins\application\container.py", line 492, in _compute_dependencies
    dependencies.declare_dependencies()
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 458, in declare_dependencies
    add(dep['modname'], dep['package_name'],
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 389, in add
    DEPENDENCIES += [Dependency(modname, package_name, features,
  File "E:\report2\ana\Lib\site-packages\spyder\dependencies.py", line 331, in __init__
    self.installed_version = programs.get_module_version(modname)
  File "E:\report2\ana\Lib\site-packages\spyder\utils\programs.py", line 839, in get_module_version
    mod = __import__(module_name)
  File "E:\report2\ana\Lib\site-packages\pandas\__init__.py", line 49, in <module>
    from pandas.core.api import (
  File "E:\report2\ana\Lib\site-packages\pandas\core\api.py", line 1, in <module>
    from pandas._libs import (
  File "E:\report2\ana\Lib\site-packages\pandas\_libs\__init__.py", line 17, in <module>
    import pandas._libs.pandas_datetime  # noqa: F401 # isort: skip # type: ignore[reportUnusedImport]
Traceback (most recent call last):
  File "C:\Users\بنين علي\AppData\Roaming\Python\Python312\site-packages\numpy\core\_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.1.3 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Versions

Dependencies

# Mandatory:
atomicwrites >=1.2.0             :  1.4.0 (OK)
chardet >=2.0.0                  :  4.0.0 (OK)
cloudpickle >=0.5.0              :  2.2.1 (OK)
cookiecutter >=1.6.0             :  2.6.0 (OK)
diff_match_patch >=20181111      :  20200713 (OK)
intervaltree >=3.0.2             :  3.1.0 (OK)
IPython >=8.13.0,<9.0.0,!=8.17.1 :  8.25.0 (OK)
jedi >=0.17.2,<0.20.0            :  0.18.1 (OK)
jellyfish >=0.7                  :  1.0.1 (OK)
jsonschema >=3.2.0               :  4.19.2 (OK)
keyring >=17.0.0                 :  24.3.1 (OK)
nbconvert >=4.0                  :  7.10.0 (OK)
numpydoc >=0.6.0                 :  1.7.0 (OK)
paramiko >=2.4.0                 :  2.8.1 (OK)
parso >=0.7.0,<0.9.0             :  0.8.3 (OK)
pexpect >=4.4.0                  :  4.8.0 (OK)
pickleshare >=0.4                :  0.7.5 (OK)
psutil >=5.3                     :  5.9.0 (OK)
pygments >=2.0                   :  2.15.1 (OK)
pylint >=2.5.0,<3.1              :  2.16.2 (OK)
pylint_venv >=3.0.2              :  3.0.3 (OK)
pyls_spyder >=0.4.0              :  0.4.0 (OK)
pylsp >=1.10.0,<1.11.0           :  1.10.0 (OK)
pylsp_black >=2.0.0,<3.0.0       :  2.0.0 (OK)
qdarkstyle >=3.2.0,<3.3.0        :  3.2.3 (OK)
qstylizer >=0.2.2                :  0.2.2 (OK)
qtawesome >=1.2.1                :  1.2.2 (OK)
qtconsole >=5.5.1,<5.6.0         :  5.5.1 (OK)
qtpy >=2.1.0                     :  2.4.1 (OK)
rtree >=0.9.7                    :  1.0.1 (OK)
setuptools >=49.6.0              :  69.5.1 (OK)
sphinx >=0.6.6                   :  7.3.7 (OK)
spyder_kernels >=2.5.0,<2.6.0    :  2.5.0 (OK)
textdistance >=4.2.0             :  4.2.1 (OK)
three_merge >=0.1.1              :  0.1.1 (OK)
watchdog >=0.10.3                :  4.0.1 (OK)
zmq >=22.1.0                     :  25.1.2 (OK)

# Optional:
cython >=0.21                    :  None (NOK)
matplotlib >=3.0.0               :  None (NOK)
numpy >=1.7                      :  2.1.3 (OK)
pandas >=1.1.1                   :  None (NOK)
scipy >=0.17.0                   :  1.14.1 (OK)
sympy >=0.7.3                    :  1.12 (OK)
dalthviz commented 1 week ago

Hi @baneenali444 thank you for the report! Checking the traceback seems like you are using Spyder from conda (over the E:\report2\ana dir ) but numpy is being imported from a different Python installation over C:\Users\بنين علي\AppData\Roaming\Python\Python312

Did you install numpy from pip? I would suggest you to try to remove/uninstall numpy and also be sure you are installing your packages over the same conda environment where your Spyder installation is. Also, if possible, you should install the packages you need using conda (so not using pip). A check to the Spyder FAQ page related with packages management could be worthy: https://docs.spyder-ide.org/current/faq.html#using-spyder

Let us know if the info above helps!