module load anaconda/5.3.1py3

conda info --envs
# conda environments:
#
base                  *  /sw/centos7/anaconda/5.3.1/py3
accelerate               /sw/centos7/anaconda/5.3.1/py3/envs/accelerate
biopython                /sw/centos7/anaconda/5.3.1/py3/envs/biopython
deeplearning             /sw/centos7/anaconda/5.3.1/py3/envs/deeplearning
keras                    /sw/centos7/anaconda/5.3.1/py3/envs/keras
tensorflow-gpu           /sw/centos7/anaconda/5.3.1/py3/envs/tensorflow-gpu

e.g
module load anaconda/5.3.1py3
source activate keras
pip install soundfile

Instructions from: https://medium.com/@danielwzou/installing-spacy-and-other-packages-without-sudo-or-root-privileges-using-anaconda-59571ec0ecad

First, navigate to your home directory.
module load anaconda/5.3.1py3
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
sh Miniconda3-latest-Linux-x86_64.sh
Now, we have a local installation of the Conda package manager at ~/miniconda3
Let’s add conda to our bash profile so that we can call it from the command line
vim .bash_profile
i
Add this line to the file:
export PATH=$HOME/miniconda3/bin:$PATH
esc :wq
Now, let’s reload our .bash_profile
source .bash_profile
And check that our installation was completed successfully
which conda
Which should return ~/miniconda3/bin/conda
Now that Conda is installed, we can install Spacy or other Python packages
conda install spacy
python -m spacy download en
Now, let’s make sure that Spacy is installed correctly
python
import spacy
nlp = spacy.load('en')
doc = nlp(u'Hello World!')
print([w.lemma_ for w in doc])
Now that you have Conda installed, you can use it to install many packages locally.

module load anaconda3/2019.07py3
 
This should have packages like the tensorflow env. You can find with this:
conda info --envs
 
>>>>> 
conda info --envs
# conda environments:
#
                         /sw/anaconda2/2019.07/envs/bio
                         /sw/anaconda2/2019.07/envs/bioinfoPy27
base                  *  /sw/anaconda3/2019.07
3point6                  /sw/anaconda3/2019.07/envs/3point6
R                        /sw/anaconda3/2019.07/envs/R
bioinformatics           /sw/anaconda3/2019.07/envs/bioinformatics
 
>>>>>>> 
This will give the packages in the base:
conda list
 
source activate 3point6
Next run: " conda list"
This will list the packages installed in that environment.
 
It shows among many others:
pytorch                   1.3.1           cuda100py36h53c1284_0
 
tensorboard               2.0.0              pyhb230dea_0
tensorflow                2.0.0           mkl_py36hef7ec59_0
tensorflow-base           2.0.0           mkl_py36h9204916_0
tensorflow-estimator      2.0.0              pyh2649769_0
termcolor                 1.1.0                      py_2    conda-forge
theano                    1.0.4           py36hf484d3e_1000    conda-forge
 
Remember this cluster has no GPU (currently)

#!/bin/bash
#PBS -N condatest
#PBS -m abe
#PBS -M YourEMAIL@griffith.edu.au
#PBS -l select=1:ncpus=1:mem=4gb,walltime=10:00:00
cd  $PBS_O_WORKDIR
module load anaconda3/2019.07py3 
source activate bioinformatics
trinity <trinityinput>

vi plot.py
>>>>>>>>>>>>>>>>>
import matplotlib.pyplot as plt
import numpy as np

np.random.seed(19680801)
data = np.random.randn(2, 100)

fig, axs = plt.subplots(2, 2, figsize=(5, 5))
axs[0, 0].hist(data[0])
axs[1, 0].scatter(data[0], data[1])
axs[0, 1].plot(data[0], data[1])
axs[1, 1].hist2d(data[0], data[1])

plt.show()
plt.savefig('test')
>>>>>>>>>>>>>>>>>>

module load anaconda3/2022.10
source activate yourenv #this should have the matlibplot packages and others.
python plot.py  would generate a plot named test.png

Reference: https://matplotlib.org/3.4.3/tutorials/introductory/sample_plots.html
Sample codes are here:
https://matplotlib.org/3.4.3/_downloads/55a714c8a6e4dde456b09326202fe492/sample_plots.py

https://matplotlib.org/3.4.3/_downloads/003118d8eb1e7df55671bcdf18bfac3c/sample_plots.ipynb