import matplotlib as matplotlib matplotlib.use("TkAgg") from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg import pandas as pd import talib as talib import mplfinance as mpf import tkinter as tk def drawChart(df): # Calculate Stochastic df["slowk"], df["slowd"] = talib.STOCH(df["High"], df["Low"], df["Close"], fastk_period=5, slowk_period=3, slowk_matype=0, slowd_period=3, slowd_matype=0) # Calculate Bollinger Band df["upperband"], df["middleband"], df["lowerband"] = talib.BBANDS(df["Close"], timeperiod=5, nbdevup=2, nbdevdn=2, matype=0) # Prune data to last 30 values df = df[-30:] # Place Stochastic in Lower Panel mpfStoch = mpf.make_addplot(df[["slowk", "slowd"]], panel="lower") # Place Upper and Lower Bollinger Band in Upper Panel mpfBB = mpf.make_addplot(df[["upperband", "lowerband"]]) # List of added Plots addedPlots = [mpfStoch, mpfBB] # Generate the plots and and return the figure fig, _ = mpf.plot(df, type='candlestick', volume=True, returnfig=True, addplot=addedPlots, figscale=2.0) # Make a top level window top = tk.Toplevel() # Add a canvas containing the figure canvas = FigureCanvasTkAgg(fig, top) # Draw it canvas.draw() canvas.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True)