Removed matplotlib dependency.

.github/workflows/python-publish.yml

@@ -57,6 +57,7 @@ jobs:
 
     - name: Publish to PyPI
       run: |
+        . ./venv/bin/activate
         python -m twine upload --repository pypi --username __token__ --password ${{ secrets.PYPI }} dist/* 
       env:
         PYPI: ${{ secrets.PYPI }}

pyproject.toml

@@ -14,7 +14,6 @@ classifiers = [
 ]
 dependencies = [
     "h5py",
-    "matplotlib",
 ]
 
 [build-system]
@@ -24,7 +23,6 @@ requires = [
     "Cython",
     "h5py",
     "numpy",
-    'matplotlib',
 ]
 
 build-backend = "setuptools.build_meta"

src/limedriver/hdf_reader.py

@@ -1,6 +1,5 @@
 import h5py
 import numpy as np
-import matplotlib.pyplot as plt
 
 # class for accessing data of stored HDF5 file this is from the limr program by andrin doll
 class HDF():
@@ -131,12 +130,6 @@ class HDF():
                     
             print('{:<5}: {:>50}    {:<25}'.format(key, val, self.parsoutp[key][1]))
             
-    def plot_dta(self):
-        plt.plot(self.tdx, self.tdy.real)
-        plt.xlabel('$t$ [$\mu$s]')
-        plt.ylabel('$y$ [Counts]')
-        plt.show()
-                
 # empty class to store dynamic attributes, basically for the attributes in HDF keys
 class dynclass:
     pass