Adapt to matplotlib 3.5 (#86)

* Require Matplotlib >=3.5

* Fix changed arguments basex, basey

Author: dweindl

petab/visualize/plotter.py

@@ -244,7 +244,7 @@ def generate_subplot(self,
         elif subplot.yScale == LOG10:
             ax.set_yscale("log")
         elif subplot.yScale == LOG:
-            ax.set_yscale("log", basey=np.e)
+            ax.set_yscale("log", base=np.e)
 
         if subplot.plotTypeSimulation == BAR_PLOT:
             for data_plot in subplot.data_plots:
@@ -273,7 +273,7 @@ def generate_subplot(self,
             elif subplot.xScale == LOG10:
                 ax.set_xscale("log")
             elif subplot.xScale == LOG:
-                ax.set_xscale("log", basex=np.e)
+                ax.set_xscale("log", base=np.e)
             # equidistant
             elif subplot.xScale == 'order':
                 ax.set_xscale("linear")

petab/visualize/plotting_config.py

@@ -47,7 +47,7 @@ def plot_lowlevel(plot_spec: pd.Series,
     elif plot_spec[Y_SCALE] == LOG10:
         ax.set_yscale("log")
     elif plot_spec[Y_SCALE] == LOG:
-        ax.set_yscale("log", basey=np.e)
+        ax.set_yscale("log", base=np.e)
 
     # add yOffset
     ms.loc[:, 'mean'] = ms['mean'] + plot_spec[Y_OFFSET]
@@ -71,7 +71,7 @@ def plot_lowlevel(plot_spec: pd.Series,
         elif plot_spec[X_SCALE] == LOG10:
             ax.set_xscale("log")
         elif plot_spec[X_SCALE] == LOG:
-            ax.set_xscale("log", basex=np.e)
+            ax.set_xscale("log", base=np.e)
         # equidistant
         elif plot_spec[X_SCALE] == 'order':
             ax.set_xscale("linear")

setup.py

@@ -57,7 +57,7 @@ def absolute_links(txt):
       packages=find_packages(exclude=['doc*', 'test*']),
       install_requires=['numpy>=1.15.1',
                         'pandas>=1.2.0',
-                        'matplotlib>=2.2.3',
+                        'matplotlib>=3.5.0',
                         'python-libsbml>=5.17.0',
                         'sympy',
                         'colorama',