tkinter 画布/框架中的烛台图

Question

我正在尝试将烛台图表创建到 tkinter 中。我有主窗口顶部，我正在特定位置创建一个框架 (graph_frame)。单击按钮后，我想将烛台图表放入该框架中。我正在运行以下代码，但不是将图表放入框架中，而是图表显示在 jupyter notebook 输出中。我想将此图表放入我的 tkinter 窗口和我创建的特定画布框架中。

from tkinter import * 
#import Pmw
import urllib.request
import urllib.parse
from datetime import date
from io import StringIO
import datetime 
from datetime import datetime
import requests
import pandas as pd
import arrow
import datetime
import sys
import json
import yfinance as yf
import plotly.graph_objects as go
import numpy as np
import csv
import matplotlib.pyplot as plt
import plotly.graph_objects as go
import quandl as ql
from matplotlib import dates
%matplotlib inline
import matplotlib.dates as mpdates

from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg,NavigationToolbar2Tk
import tkinter as tk
from tkinter import ttk
import mplfinance as mpf
import matplotlib.pyplot as plt
from mpl_finance import candlestick_ohlc
import pandas as pd
import matplotlib.dates as mpl_dates


top = tk.Tk()   
top.title("NASDAR Stock price range prediction system")
top.geometry("1350x840")


graph_frame = tk.Frame(top, height=350, width=500)

graph_frame.place(x=700,y=250) 
figure = plt.Figure(figsize=(12,8), dpi=50)
ax = figure.add_subplot(111)


df = yf.download('ba', period='500d', interval='1d')

df = df.tail(50)
df['Date'] = pd.to_datetime(df['Date'])
 
# apply map function
df['Date'] = df['Date'].map(mpdates.date2num)


fig, ax = plt.subplots()
fig = FigureCanvasTkAgg(fig, graph_frame)
 
# plotting the data
candlestick_ohlc(ax, df.values, width = 0.6,colorup = 'green', colordown = 'red', alpha = 0.8)
ohlc = df.loc[:, ['Date', 'Open', 'High', 'Low', 'Close']]
ohlc['Date'] = pd.to_datetime(ohlc['Date'])
ohlc['Date'] = ohlc['Date'].apply(mpl_dates.date2num)
ohlc = ohlc.astype(float)


ax.set_xlabel('Date')
ax.set_ylabel('Price')

# Formatting Date
date_format = mpl_dates.DateFormatter('%d-%m-%Y')
ax.xaxis.set_major_formatter(date_format)



ax.set_title('Candlestick chart')    

Answer 1

遵循的代码有效，我能够在 tkinter 中将图形生成到我的特定框架中。 graph_frame 已在主函数的开头声明。

figure = plt.Figure(figsize=(3,4), dpi=100)

#data = yf.download(symbol, period='500d', interval='1d')

data = yf.download('ba', period='500d', interval='1d')
df = convert_to_dataframe_daily(data)
#df = return_data_frame()
df['Date'] = pd.to_datetime(df['Date'])
df['SMA5'] = df['Close'].rolling(5).mean()
df = df.tail(15)

     
    # apply map function
df['Date'] = df['Date'].map(mpdates.date2num)


figure, ax = plt.subplots()

fig = FigureCanvasTkAgg(figure, graph_frame)


ax.set_xlabel('Date')
ax.set_ylabel('Price')

    #fig.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
fig.get_tk_widget().pack(side=tk.RIGHT)
 
        # plotting the data
candlestick_ohlc(ax, df.values, width = 0.6,colorup = 'green', colordown = 'red', alpha = 0.8)
ohlc = df.loc[:, ['Date', 'Open', 'High', 'Low', 'Close']]
#ohlc['Date'] = pd.to_datetime(ohlc['Date'])
#ohlc['Date'] = ohlc['Date'].apply(mpl_dates.date2num)
#ohlc = ohlc.astype(float)
print(ohlc.tail(10))


    #fig.suptitle('Daily Candlestick Chart of NIFTY50')

    # Formatting Date
date_format = mpl_dates.DateFormatter('%d-%m-%Y')
ax.xaxis.set_major_formatter(date_format)

ax.plot(df['Date'], df['EMA21'], color='green', label='EMA 21', linewidth=0.5)

ax.plot(df['Date'], df['EMA8'], color='blue', label='EMA 8', linewidth=0.5)

ax.plot(df['Date'], df['SMA200'], color='darkorange', label='SMA 200', linewidth=1.5)

    
ax.grid(True)

ax.set_title('Candlesticks with moving averages')
    

    
    ```

Answer 2

使用tkchart module（也在GitHub）。

示例代码：

import tkchart

import tkinter

root = tkinter.Tk()

#create chart
chart_1 = tkchart.LineChart(master=root,width=1000 ,height=600 
                         ,chart_line_len=80 ,sections=True 
                         ,sections_count=10 ,values_labels=True  
                         ,values_labels_count=5 ,
                         max_value = 100)
chart_1.pack()


#create lines  for chart
line_1 = tkchart.Line(master=chart_1 ,color="#00ff00" ,height=4)
line_2 = tkchart.Line(master=chart_1 ,height=4 ,color ="#ffff00")

value = [x for x in range(0,100)]
import random
def display():
   chart_1.display(line=line_1 ,values=random.choices(value))
   chart_1.display(line=line_2 ,values=random.choices(value))
   root.after(500,display)
display()