added a Matplolib Plotter for async data

Plotter.py

@@ -0,0 +1,53 @@
+import queue
+import threading
+import tkinter as tk
+
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+from matplotlib.figure import Figure
+
+
+class Plotter(tk.Frame):
+    def __init__(self, root, percent_lim: bool = False):
+        super().__init__(root)
+
+        self.figure = Figure(figsize=(8, 8))
+        self.axes = self.figure.add_subplot()
+        self.canvas = FigureCanvasTkAgg(self.figure, master=self)
+        self.canvas.get_tk_widget().pack()
+
+        self.__queue = queue.Queue()
+        self.data = {}
+
+        self.percent_lim = percent_lim
+
+        self.master.after(1000, self.__update)
+
+    def append(self, name: str, value):
+        self.__queue.put((name, value))
+
+    def __update(self):
+        to_update = False
+        while not self.__queue.empty():
+            to_update = True
+            name, value = self.__queue.get()
+
+            if name in self.data:
+                self.data[name].append(value)
+            else:
+                self.data[name] = [value]
+
+        if to_update:
+            self.__update_plot()
+
+        self.master.after(1000, self.__update)
+
+    def __update_plot(self):
+        self.axes.cla()
+        if self.percent_lim:
+            self.axes.set_ylim(0, 1)
+        self.axes.set_xlim(left=0, auto=True)
+        for (name, values) in self.data.items():
+            self.axes.plot(values, label=name)
+
+        self.axes.legend()
+        self.canvas.draw()