test: test plotting data from prev. made fuctions

Handle_emg_data.py

@@ -14,9 +14,8 @@ class CSV_handler:
 
     # Extracts out the timestamp and the selected emg signal into a new dataframe 
     def get_time_emg_table(self, filename, emg_nr):
-
         tot_data_frame = self.make_df(filename)
-        emg_str = self.get_emg_str(emg_nr)
+        emg_str = 'emg' + str(emg_nr)
         filtered_df = tot_data_frame[["timestamp", emg_str]]
         return filtered_df
     
@@ -26,3 +25,5 @@ class CSV_handler:
     
 
 
+
+

Test_functions.py

@@ -1,11 +1,21 @@
 from Handle_emg_data import CSV_handler
+import matplotlib.pyplot as plt
 
-def test_df_extraction():
+def test_df_extraction(emg_nr):
     handler = CSV_handler()
 
-    filename = "Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1810/myoLeftEmg.csv"
-    subject1_left_emg1 = handler.get_time_emg_table(filename, 1)
+    file = "/Exp20201205_2myo_hardTypePP/HaluskaMarek_20201207_1810/myoLeftEmg.csv"
+    subject1_left_emg1 = handler.get_time_emg_table(file, emg_nr)
+    print(subject1_left_emg1.head)
 
-    print(subject1_left_emg1.head())
+    return subject1_left_emg1, emg_nr
 
-test_df_extraction()
+
+
+# running
+handler = CSV_handler
+df, emg_nr = test_df_extraction(1)
+print(emg_nr)
+emg_str = handler.get_emg_str(emg_nr)
+lines = df.plot.line(x='timestamp', y=emg_str)
+plt.show()