What is the best way to install fipy with anaconda?

What is the best way to install fipy with anaconda3 (in a ubuntu 16.04 machine)?
I have tried conda create --name FIPY --channel conda-forge python=3 fipy numpy scipy matplotlib pysparse gmsh but the results in a lot of conflicts like this:

Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: - 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                               

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package libstdcxx-ng conflicts for:
numpy -> python[version='>=3.8,<3.9.0a0'] -> libstdcxx-ng[version='>=7.2.0|>=9.3.0']
matplotlib -> libstdcxx-ng[version='>=7.2.0|>=7.3.0']
gmsh -> libstdcxx-ng[version='>=10.3.0|>=12|>=9.4.0|>=9.3.0|>=7.5.0|>=7.3.0']
gmsh -> libglu -> libstdcxx-ng[version='>=4.9|>=7.2.0']
pysparse -> numpy[version='>=1.9.3,<2.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=12|>=9.4.0|>=7.3.0|>=4.9|>=11.2.0|>=7.5.0|>=7.2.0']
scipy -> libstdcxx-ng[version='>=10.3.0|>=12|>=9.4.0|>=9.3.0|>=7.5.0|>=7.3.0|>=4.9|>=11.2.0|>=7.2.0']
numpy -> libstdcxx-ng[version='>=10.3.0|>=12|>=9.4.0|>=7.3.0|>=4.9|>=11.2.0|>=7.5.0']
python=3 -> libstdcxx-ng[version='>=11.2.0|>=4.9|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0|>=7.2.0']
matplotlib -> matplotlib-base[version='>=3.6.0,<3.6.1.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=12|>=7.5.0|>=4.9|>=11.2.0|>=9.3.0|>=9.4.0']
fipy -> matplotlib-base -> libstdcxx-ng[version='>=10.3.0|>=12|>=9.4.0|>=9.3.0|>=7.5.0|>=7.3.0|>=11.2.0|>=4.9|>=7.2.0']

Package python conflicts for:
pysparse -> numpy[version='>=1.9.3,<2.0a0'] -> python[version='2.7.*|3.5.*|3.6.*|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.*']
scipy -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.*']
python=3
numpy -> python_abi=3.8[build=*_cp38] -> python[version='3.10.*|3.8.*|3.9.*|3.7.*']
fipy -> future -> python[version='2.7.*|3.4.*|3.5.*|3.6.*|>=3.5,<3.6.0a0|>=3.6|>=2.7|3.7.*|3.10.*|3.8.*|3.9.*']
numpy -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.*']
scipy -> python_abi=3.8[build=*_cp38] -> python[version='3.10.*|3.8.*|3.9.*|3.7.*']
matplotlib -> pyqt -> python[version='3.10.*|3.6.*|3.9.*|3.8.*|3.7.*|>=3.6|>=3.0,<=3.9|>=3|>=3.8|<3']
matplotlib -> python[version='2.7.*|3.4.*|3.5.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0']
fipy -> python[version='>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.6,<3.7.0a0']
pysparse -> python[version='>=2.7,<2.8.0a0'] 

Now conda activate FIPY gives me

Could not find conda environment: FIPY
You can list all discoverable environments with `conda info --envs`.

Is it better to create an environment with python 2.7 for fipy? Thanks in advance!

—————– EDIT —————–

Apart from the answer posted by jaguyer, it seems the anaconda prescribed way of installing fipy also works out (at least in my case – ubuntu 16.04, python 3.x in conda base). I will write the steps here:

1. Create a new environment by conda create -n <environment name> e.g., conda create -n fipy
2. Activate the environment by conda activate fipy
3. Install fipy in the new env from conda-forge conda install -c conda-forge fipy

Just entering conda install -c conda-forge fipy in the anaconda base environment did not work for me resulting in: Solving environment: | Found conflicts! Looking for incompatible packages. Hope this helps!