diff --git a/python/linktest/report.py b/python/linktest/report.py
index e340599484de3be3796a8e15da20c2ddbdf8800c..4374e386ff41de09b1a358158e393f6ebc64c027 100644
--- a/python/linktest/report.py
+++ b/python/linktest/report.py
@@ -52,25 +52,28 @@ figure_size_cm          =[21  ,29.7          ] #A4 Paper
 # Taken from https://github.com/matplotlib/matplotlib/issues/20964
 class NotRoundedAxesImage(AxesImage):
     """AxesImage subclass which does not round image extents to fit frame. This rounding leads to improper alignment between data and image."""
+    def __init__(self,axis):
+        super().__init__(axis)
+    
     def make_image(self,renderer,magnification=1.0,unsampled=False):
         x1,x2,y1,y2=self.get_extent()
         bbox=Bbox(array([[x1,y1],[x2,y2]]))
         return self._make_image(self._A,bbox,TransformedBbox(bbox,self.get_transform()),((self.get_clip_box() or self.axes.bbox) if self.get_clip_on() else self.figure.bbox),magnification,unsampled=unsampled,round_to_pixel_border=False)
 
 def fixedPixelImage(axis,data,cmap,vmin,vmax):
-    image=NotRoundedAxesImage(axis,interpolation="none")                          # Create image object
+    image=NotRoundedAxesImage(axis)                                               # Create image object
     image.set(cmap=cmap,data=data,norm=Normalize(vmin=vmin,vmax=vmax,clip=False)) # Add data to image object
     axis.add_image(image)                                                         # Add image object to axis object
-    axis.set_ylim(axis.get_ylim()[::-1])                                          #Invert y-axis
+    axis.set_ylim(axis.get_ylim()[::-1])                                          # Invert y-axis
     return image
 
 def fixedPixelImage_shiftLabels(figure,axis):
-        label_offset=ScaledTranslation( 0.000,0.025,figure.dpi_scale_trans)
-        for label in axis.xaxis.get_majorticklabels():
-            label.set_transform(label.get_transform()+label_offset)
-        label_offset=ScaledTranslation(-0.025,0.000,figure.dpi_scale_trans)
-        for label in axis.yaxis.get_majorticklabels():
-            label.set_transform(label.get_transform()+label_offset)
+    label_offset=ScaledTranslation( 0.000,0.025,figure.dpi_scale_trans)
+    for label in axis.xaxis.get_majorticklabels():
+        label.set_transform(label.get_transform()+label_offset)
+    label_offset=ScaledTranslation(-0.025,0.000,figure.dpi_scale_trans)
+    for label in axis.yaxis.get_majorticklabels():
+        label.set_transform(label.get_transform()+label_offset)
 
 def find_renderer(fig):
     """
@@ -514,7 +517,7 @@ def timing___report(pdf,
     if correct_image_dimensions:
         TTT_Image=fixedPixelImage(axis=TTT_axis,data=timingData["Timings"],cmap=get_cmap(matrix_colormap,2048),vmin=minMaxPlotTimings[0],vmax=minMaxPlotTimings[1])
     else:
-        TTT_Image=TTT_axis.imshow(timingData["Timings"],interpolation="none",clip_on=False,cmap=get_cmap(matrix_colormap,2048),vmin=minMaxPlotTimings[0],vmax=minMaxPlotTimings[1])
+        TTT_Image=TTT_axis.imshow(timingData["Timings"],interpolation="none",rasterized=True,clip_on=False,cmap=get_cmap(matrix_colormap,2048),vmin=minMaxPlotTimings[0],vmax=minMaxPlotTimings[1])
     ticks=arange(0,numHosts,1)
     TTT_axis.set_xticks(append(ticks[0:-1:down_sample_factor],[ticks[-1]]))
     TTT_axis.set_xticklabels([f"{rank:0{numDigitsLastHostRank}d}" for rank in list(range(len(hosts))[0:-1:down_sample_factor])+[len(hosts)-1]],rotation=90,fontsize=font_scale_factor)
@@ -1008,7 +1011,7 @@ def pattern__report(pdf,
     if correct_image_dimensions:
         TTS_Image=fixedPixelImage(axis=TTS_axis,data=timingData["Access Pattern"],cmap=cMap,vmin=1,vmax=numSteps)
     else:
-        TTS_Image=TTS_axis.imshow(timingData["Access Pattern"],interpolation="none",clip_on=False,cmap=cMap,vmin=1,vmax=numSteps)
+        TTS_Image=TTS_axis.imshow(timingData["Access Pattern"],interpolation="none",rasterized=True,clip_on=False,cmap=cMap,vmin=1,vmax=numSteps)
     # Configure Ticks
     ticks=arange(0,numHosts,1)
     TTS_axis.set_xticks(append(ticks[0:-1:down_sample_factor_y],ticks[-1]))
@@ -1058,7 +1061,7 @@ def pattern__report(pdf,
     if correct_image_dimensions:
         TST_Image=fixedPixelImage(axis=TST_axis,data=TST,cmap=cMap,vmin=minMaxPlotTimings[0],vmax=minMaxPlotTimings[1])
     else:
-        TST_Image=TST_axis.imshow(TST,interpolation="none",clip_on=False,cmap=get_cmap(matrix_colormap,2048),vmin=minMaxPlotTimings[0],vmax=minMaxPlotTimings[1])
+        TST_Image=TST_axis.imshow(TST,interpolation="none",rasterized=True,clip_on=False,cmap=get_cmap(matrix_colormap,2048),vmin=minMaxPlotTimings[0],vmax=minMaxPlotTimings[1])
     # Configure Ticks
     TST_axis.set_aspect(numSteps/numHosts)
     xticks=arange(0,numSteps,1)