diff --git a/tools/plots.py b/tools/plots.py
index d852b1cfafddbbadbecde703865dc839b4dc2d8f..f8342c85cea457b898f77217e93a4e4099381e50 100644
--- a/tools/plots.py
+++ b/tools/plots.py
@@ -220,6 +220,20 @@ def check_arguments(plot_type:str, variable:str, byvariable:str):
         return False
     return True
 
+def correct_positions(dataframe:pd.DataFrame):
+    """Inverts the sign of the positions A1, A4 and A5, as it is not done in the database constructor
+    Then, it is a quickfix of the data-processor the 18 Jul, 2024
+
+    Args:
+        dataframe (pd.DataFrame): dataframe to correct
+    """
+    if 'Position_A1' in dataframe.columns:
+        dataframe['Position_A1'] = -dataframe['Position_A1']
+    if 'Position_A4' in dataframe.columns:
+        dataframe['Position_A4'] = -dataframe['Position_A4']
+    if 'Position_A5' in dataframe.columns:
+        dataframe['Position_A5'] = -dataframe['Position_A5']
+
 def plot_all_axis(DB, variable:str, byvariable:str, byvalues:List, MovingMotor:int, Speed:int = 50, Class:int = 0, plot_type:str = 'Lineplot', doposition:bool = False, saving:bool = False):
     """Plots variable's data from the Dataframe on each robot axis (6 subplots), differenciating the data by 'byvariable' column's name.
     Create a 'Lineplot' or a 'Boxplot', depending on the argument plot
@@ -256,6 +270,8 @@ def plot_all_axis(DB, variable:str, byvariable:str, byvalues:List, MovingMotor:i
         rms.append(np.sqrt(np.mean(df[f'{variable}_A{MovingMotor}']**2)))
     print(f'Motor {MovingMotor} runs rms :',rms)
     
+    correct_positions(dataframe)
+    
     fig = plt.figure(figsize=(3*6,2*4)) # Data plot
     for i in range(1,7,1):
         axis = plt.subplot(2,3,i)
@@ -326,7 +342,9 @@ def plot_moving_axes(DB, variable:str, byvariable:str, byvalues:List, Speed:int
                 dataframe = pd.concat([dataframe, df[300:900]])
             rms.append(np.sqrt(np.mean(df[f'{variable}_A{Motor}']**2))) # limits data to 2-3 iterations
         print(f'Motor {Motor} runs rms :',rms)
-                
+        
+        correct_positions(dataframe)
+        
         axis = plt.subplot(2,3,Motor)
         if(plot_type=='Boxplot'):
             sns.boxplot(data=dataframe, y=f'{variable}_A{Motor}', hue=byvariable, ax=axis)
@@ -390,7 +408,8 @@ def plot_grouped_load(DB, variable:str, Classes:List[List], Motor:int, Speed:int
             dataframe = pd.concat([dataframe, df[300:900]]) # limits data to 2-3 iterations
             rms.append(np.sqrt(np.mean(df[f'{variable}_A{Motor}']**2)))
         print(f'Motor {Motor} runs rms :',rms)
-            
+        
+        correct_positions(dataframe)
         lin1 = sns.lineplot(data=dataframe,x='Sample_time', y=f'{variable}_A{Motor}', hue='Class', ax=axis, alpha=0.6) # data plot
         
         if doposition:
@@ -407,6 +426,6 @@ def plot_grouped_load(DB, variable:str, Classes:List[List], Motor:int, Speed:int
         figures = Path(f"figures/{variable} by motor by grouped Load")
         if not figures.exists():
             figures.mkdir(parents=True)
-        fig.savefig(f"figures/{variable} by motor by grouped Load/{variable}_A{Motor}_by_grouped_load.png")
+        fig.savefig(f"figures/{variable} by motor by grouped Load/{variable}_A{Motor}_by_grouped_load{Classes}.png")
     
     return fig
diff --git a/variable_by.py b/variable_by.py
index 3c6687a92db0a86ade38eefafac9df5c42f23714..0d0abcbac54de266dab3f36198f6fc30a7010017 100644
--- a/variable_by.py
+++ b/variable_by.py
@@ -36,4 +36,12 @@ fig2 = plot_grouped_load(DB, 'Current', [[0,2],[4,6],[8,10],[12,14]], 1, 60, dop
 fig3 = plot_moving_axes(DB,'Current','Class',[0,2], doposition=True,saving=True)
 plt.show()
 
+# %% Bungee analysis
+fig2 = plot_grouped_load(DB, 'Current', [[0,4],[0,8],[0,12]], 1, 60, doposition=True, saving=True)
+fig1 = plot_all_axis(DB,'Current','Class',[0,8],MovingMotor=1, saving=True)
+plt.show()
+
+# %%
+fig1 = plot_all_axis(DB,'Current','Class',[0] , MovingMotor=2, doposition=True, saving=True)
+
 # %%