Support numpy 2.0.0

[dennisbader]

Describe the bug
Numpy released version 2.0.0. Many of our dependencies are currently broken. We set an upper cap on numpy<2.0.0 in #2413.

Dependencies explicitly capping numpy<2.0.0 (obtained using pipdeptree)

• contourpy==1.2.0 [requires: numpy>=1.20,<2.0]
• matplotlib==3.8.3 [requires: numpy>=1.21,<2]
• numba==0.59.0 [requires: numpy>=1.22,<1.27]
• pandas==2.2.1 [requires: numpy>=1.23.2,<2]
• pyarrow==15.0.0 [requires: numpy>=1.16.6,<2]
• scikit-learn==1.4.1.post1 [requires: numpy>=1.19.5,<2.0]
• scipy==1.12.0 [requires: numpy>=1.22.4,<1.29.0]
• statsmodels==0.14.1 [requires: numpy>=1.18,<2]

[lorentzenchr]

Numpy 2.0 compatibility of all dependencies is available:

• contourpy 1.2.1
• matplotlib 3.8.4
• numba 0.60
• pandas 2.2.2
• pyarrow 16.0.0
• scikit-learn 1.4.2
• scipy 1.13.0
• statsmodels 0.14.2

See also numpy/numpy#26191.

[furkancanturk]

Hi @dennisbader
Do you plan a release supporting Numpy 2?

[madtoinou]

Thanks @lorentzenchr for checking this.

Hi @furkancanturk, yes, the point of this issue to make sure all the dependencies are supporting numpy 2 before removing the version cap for darts. However, we are planning on one last release for python 3.8 before tackling this.

[swertz]

Be warned that catboost does not explicitly cap its numpy dependency, but does not support numpy 2.0 yet: catboost/catboost#2671

[felixdivo]

This might also be a problem: alkaline-ml/pmdarima#577