diff --git a/__pycache__/main.cpython-39.pyc b/__pycache__/main.cpython-39.pyc
index 88ded3b..c544e39 100644
Binary files a/__pycache__/main.cpython-39.pyc and b/__pycache__/main.cpython-39.pyc differ
diff --git a/__pycache__/plots.cpython-39.pyc b/__pycache__/plots.cpython-39.pyc
index 5bc2636..3cec243 100644
Binary files a/__pycache__/plots.cpython-39.pyc and b/__pycache__/plots.cpython-39.pyc differ
diff --git a/flaskapp.py b/flaskapp.py
index 1f75b6e..89d481b 100644
--- a/flaskapp.py
+++ b/flaskapp.py
@@ -1,17 +1,16 @@
-import io
 from flask import Flask, render_template
 app = Flask("Project Numeri")
-from plots import Cijferlijst
-import base64
-cf = Cijferlijst()
+#from plots import Cijferlijst
+
+#cf = Cijferlijst()
 import matplotlib.pyplot as plt
 from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
 from matplotlib.figure import Figure
+from plots import plot
 
 @app.route('/')
 def index():
     return render_template('index.html', title="joe", imgdata=None)
 
-
 def RunWeb():
     app.run(debug=True, port=5002)
diff --git a/main.py b/main.py
index d302f3f..2d7ae8d 100644
--- a/main.py
+++ b/main.py
@@ -1,40 +1,19 @@
 # based on https://gist.github.com/rduplain/1641344
  
 import random
-import io
- 
+from io import BytesIO
+import base64
 from flask import Flask, make_response, request
 from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
 from matplotlib.figure import Figure
+import plots
  
 app = Flask(__name__)
 
 @app.route('/')
-def root() :
-    return "<form action='/plot.png' method='post'><input type='text' name='data'><input type='submit' value='submit'>"
+def plot_figure():
+    return plots.plot()
 
-@app.route('/plot.png', methods = ['GET', 'POST'])
-def plot() :
-    fig = Figure()
-    axis = fig.add_subplot(1, 1, 1)
- 
-    if request.method == 'GET' :
-        xs = range(100)
-        ys = [random.randint(1, 50) for x in xs]
-    
-    if request.method == 'POST' :
-        ys = map( float, request.form['data'].strip().split(',') )
-        xs = range(len(ys))
-
-    axis.plot(xs, ys)
-    canvas = FigureCanvas(fig)
-    output = io.BytesIO()
-    canvas.print_png(output)
-    response = make_response(output.getvalue())
-    response.mimetype = 'image/png'
-    return response
-
- 
 if __name__ == '__main__':
     app.run(debug=True, port=5002)
 
diff --git a/plots.py b/plots.py
index fe5ca09..75ef879 100644
--- a/plots.py
+++ b/plots.py
@@ -1,32 +1,56 @@
-import pandas as pd
-import numpy as np
 
-GRADE_LIST = "Cijfers-HerrewijnenJonathan.csv"
+from io import BytesIO
+from flask import Flask, render_template
+# app = Flask("Project Numeri")
+from flask import Flask, make_response, request
+from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+from matplotlib.figure import Figure
+import base64
 
-class Cijferlijst:
-    def __init__(self, grade_list=GRADE_LIST):
-        self.grade_list = grade_list
-        self.ps = pd.read_csv(GRADE_LIST, skiprows=2, sep=';')
+app = Flask(__name__)
 
-    '''
-    Get all data from a subject and a (yearly) period:
-    GetSubjectByYear("godsdienst", "2010/2011")
-    '''
-    def GetSubjectByYear(self, subject, year):
-        if(type(subject) == str and type(year) == str):
-            select_year = self.ps[self.ps['Schooljaar(Voortgangsdossier)'] == year] 
-            select_subject =  select_year[select_year["Vak(Voortgangsdossier)"] == subject]
+def plot():
+    # Generate the figure **without using pyplot**.
+    fig = Figure()
+    ax = fig.subplots()
+    ax.plot([1, 2])
+    # Save it to a temporary buffer.
+    buf = BytesIO()
+    fig.savefig(buf, format="png")
+    # Embed the result in the html output.
+    data = base64.b64encode(buf.getbuffer()).decode("ascii")
+    return f"<img src='data:image/png;base64,{data}'/>"
 
-            #filter period and rapport
-            rapports =  select_subject[select_subject['Cijfertype(Voortgangsdossier)'] != "Periodegemiddelde"]
-            return rapports[rapports ['Cijfertype(Voortgangsdossier)'] != "Rapportcijfer"]
-        else:
-            return False
+
+# import pandas as pd
+# import numpy as np
+
+# GRADE_LIST = "Cijfers-HerrewijnenJonathan.csv"
+
+# class Cijferlijst:
+#     def __init__(self, grade_list=GRADE_LIST):
+#         self.grade_list = grade_list
+#         self.ps = pd.read_csv(GRADE_LIST, skiprows=2, sep=';')
+
+#     '''
+#     Get all data from a subject and a (yearly) period:
+#     GetSubjectByYear("godsdienst", "2010/2011")
+#     '''
+#     def GetSubjectByYear(self, subject, year):
+#         if(type(subject) == str and type(year) == str):
+#             select_year = self.ps[self.ps['Schooljaar(Voortgangsdossier)'] == year] 
+#             select_subject =  select_year[select_year["Vak(Voortgangsdossier)"] == subject]
+
+#             #filter period and rapport
+#             rapports =  select_subject[select_subject['Cijfertype(Voortgangsdossier)'] != "Periodegemiddelde"]
+#             return rapports[rapports ['Cijfertype(Voortgangsdossier)'] != "Rapportcijfer"]
+#         else:
+#             return False
 
             
-    def iets(self):
-        print(self.grade_list)
+#     def iets(self):
+#         print(self.grade_list)
     
-    def CalculateMedian(self, subject, year):
-        # Calculates average for all scores without weight!
-        Grades = self.ps['Cijfer(Voortgangsdossier)'].loc[:]
\ No newline at end of file
+#     def CalculateMedian(self, subject, year):
+#         # Calculates average for all scores without weight!
+#         Grades = self.ps['Cijfer(Voortgangsdossier)'].loc[:]
\ No newline at end of file