How to install pyomo compute_canonical_repn in Ubuntu? - python

Pyomo version - 5.6.1
python - 2.7
I am totally new to Ubuntu, how can I install pyomo compute_canonical_repn?
I am getting an error while importing compute_canonical_repn
from pyomo.repn.compute_canonical_repn import preprocess_constraint
ERROR:- No module named compute_canonical_repn
I don't find any specific installation procedures to do
FYI, the same module is working in my windows machine with pyomo version 5.2

From your comment responses, this isn't an issue with the pip install pyomo command.
You want to be able to use preprocess_constraint, which was moved to pyomo.repn.standard_repn.

Have you tried pip install pyomo ?
Reference

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enter image description here
I have encountered a similar issue with another package and the problem wasn't in the IDE but the OS which in my case was mac. I had to install an ubuntu in parallel and migrate the whole project there and it ran perfectly.
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Pre-built binary wheel for Python
If you are planning to use Python, consider installing XGBoost from a pre-built binary wheel, available from Python Package Index (PyPI). You may download and install it by running
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Install Setuptools in site-pakcages
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I also try
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and
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[build]
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tox/conda/travis-ci raises ImportError: _PyErr_ReplaceException

I want to set up Travis-CI to run the locally working test suite of a recently open-sourced Python 2.7 library. For efficiently installing dependencies like Numpy and Scipy, I found some advice to use the Miniconda distribution. Unfortunately, my .travis.yml, which
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ImportError: /home/travis/build/.../.tox/py27-nose/lib/python2.7/lib-dynload/_io.so: undefined symbol: _PyErr_ReplaceException
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You can downgrade by running conda install python=2.7.9 and confirm it resolves your issue.
The conda guys have now released a fixed virtualenv package that no longer has this problem.
Fixed by downgrading my Python version from 2.7.10 to 2.7.9

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