#!/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