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When performing an operation with NumPy 1.14 that appears to be deprecated, the warning seems to be tracking back to IPython or the IPython Kernel depending on context, which is a bit misleading. In the Jupyter Notebook, it adds a little extra text stating, This is separate from the ipykernel package so we can avoid doing imports until and trails off just like that (hence raising here first). Not sure if this is an issue in IPython, the IPython Kernel, or NumPy. Here is an MRE though.
Example:
In [1]: import numpy as np
In [2]: a = np.arange(24).reshape(1, 2, 3, 4)
In [3]: np.expand_dims(a.min(), a.ndim)
/zopt/conda2/envs/test/bin/ipython:1: DeprecationWarning: Both axis > a.ndim and axis < -a.ndim - 1 are deprecated and will raise an AxisError in the future.
#!/zopt/conda2/envs/test/bin/python
Out[3]: array([0])Environment:
name: test
channels:
- conda-forge
- defaults
dependencies:
- appnope=0.1.0=py36_0
- backcall=0.1.0=py_0
- blas=1.1=openblas
- ca-certificates=2018.1.18=0
- certifi=2018.1.18=py36_0
- decorator=4.2.1=py36_0
- ipython=6.3.1=py36_0
- ipython_genutils=0.2.0=py36_0
- jedi=0.11.1=py36_0
- libgfortran=3.0.0=0
- ncurses=5.9=10
- numpy=1.14.2=py36_blas_openblas_200
- openblas=0.2.20=7
- openssl=1.0.2n=0
- parso=0.1.1=py_0
- pexpect=4.4.0=py36_0
- pickleshare=0.7.4=py36_0
- pip=9.0.3=py36_0
- prompt_toolkit=1.0.15=py36_0
- ptyprocess=0.5.2=py36_0
- pygments=2.2.0=py36_0
- python=3.6.5=1
- readline=7.0=0
- setuptools=39.0.1=py36_0
- simplegeneric=0.8.1=py36_0
- six=1.11.0=py36_1
- sqlite=3.20.1=2
- tk=8.6.7=0
- traitlets=4.3.2=py36_0
- wcwidth=0.1.7=py36_0
- wheel=0.31.0=py36_0
- xz=5.2.3=0
- zlib=1.2.11=0tqfjo
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