diff --git a/plotter.py b/plotter.py
new file mode 100644
index 0000000..2361b58
--- /dev/null
+++ b/plotter.py
@@ -0,0 +1,74 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Wed Jun 16 13:03:03 2021
+
+@author: -
+"""
+
+import os
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+
+os.chdir('D:\AcA Mike Dijkhof\Scripts') # set path to folder of formules.py
+
+import formules
+    
+rootdir = 'D:\AcA Mike Dijkhof\cwa files\Pt204_csv\Pt204_csv35694_0000020406.resampled' # provide path to .csv files of the cut weekdays 
+d = {}
+
+for subdir, dirs, files in os.walk(rootdir):
+    print(subdir)
+    for file in files:
+        print(file)
+        os.chdir(subdir)
+        
+        d[file] = pd.read_csv(file, infer_datetime_format=True)
+
+Keys = d.keys()
+
+#%%
+
+Check = formules.SlopeWeeker(Keys, d)
+Worklist = Check
+Length = pd.DataFrame(np.zeros(((1,int(len(Check)/7)))))
+
+# Create PtName, this depends on subdir string so has to be changed for each patient
+PtName = subdir.replace('35694_00000', '')
+PtName = PtName.replace('D:\AcA Mike Dijkhof\cwa files\Pt204_csv\Pt204_','') 
+PtName = PtName.replace('resampled-','')
+PtName = PtName.replace('.resampled','')
+PtName = PtName.replace('.csv','')
+
+for i in Length:
+   
+    CheckWeek = Worklist[:7]
+   
+    Worklist = Worklist.drop(CheckWeek.index, axis=0)
+   
+    CheckWeek.loc['Mean','a'] = CheckWeek['a'].median()
+    CheckWeek.loc['Mean','b'] = CheckWeek['b'].median()
+    CheckWeek.loc['Mean','c'] = CheckWeek['c'].median()
+    
+    CheckWeek.to_csv('Formula_Week6.csv')
+   
+    Xscale = np.arange(0,CheckWeek['ENMOmax'].max(), 5)
+   
+    plt.figure()
+    plt.ylim(0,1440)
+    plt.xlim(0,CheckWeek['ENMOmax'].max())
+    plt.title('All weekdays and average plotted ' + PtName)
+    plt.xlabel('Movement intensity [bins of 5 mg]')
+    plt.ylabel('Amount of time spend at intensity [min]')
+    plt.grid()
+   
+    for i, r in CheckWeek.iterrows():
+        Y = formules.func(Xscale, CheckWeek.loc[i,'a'],CheckWeek.loc[i,'b'], CheckWeek.loc[i,'c'] )
+        if i != 'Mean':
+            plt.plot(Xscale, Y, 'grey')
+        else:
+            plt.plot(Xscale, Y, 'k--')
+            
+    plt.show()
+    plt.savefig(fname=('Weekplot ' + PtName+ '.png'))
+