added argparser argument for file format in which the resulting plots shall be saved

plotting/timeseries/aggregateTimeseries.py

@@ -188,7 +188,7 @@ class TimeSeriesAggregator:
         if self.marker_pos_x is not None:
             ax.axvline(self.marker_pos_x, color='red', linestyle=':', label=self.label_text)
         # save file under the predetermined directory
-        output_file = os.path.join(self.output_path + "\\throughput-ts.pdf")
+        output_file = os.path.join(self.output_path + "\\throughput-ts")
         # draw the standard deviation as area around the mean
         mean_t = self.agg_throughput["Mean"]
         std_t = self.agg_throughput["Standard Deviation"]
@@ -201,7 +201,7 @@ class TimeSeriesAggregator:
         # indicating saving process
         print("Saving throughput plot to disk: " + output_file)
         # store the created picture
-        plt.savefig(output_file, format=self.format)
+        plt.savefig(output_file + ".{}".format(self.format), format=self.format)
         plt.close()
 
     def plot_latency(self):
@@ -239,7 +239,7 @@ class TimeSeriesAggregator:
         if self.marker_pos_x is not None:
             ax.axvline(self.marker_pos_x, color='red', linestyle=':', label=str(self.label_text))
         # save file under the predetermined directory
-        output_file = os.path.join(self.output_path + "\\latency-ts.pdf")
+        output_file = os.path.join(self.output_path + "\\latency-ts")
         # draw the standard deviation as area around the mean
         mean_l = self.agg_latency["Mean"]
         std_l = self.agg_latency["Standard Deviation"]
@@ -266,7 +266,7 @@ class TimeSeriesAggregator:
         # indicating saving process
         print("Saving latency plot to disk: " + output_file)
         # store the created picture
-        plt.savefig(output_file, format=self.format)
+        plt.savefig(output_file + ".{}".format(self.format), format=self.format)
 
     # @staticmethod
     def remove_outliers(self, df_in, col_name):