How to display matplotlib numpy.ndarray in tkinter - python-3.x

Question

I want to display numpy.ndarray matplotlib in tkinter.
I tried in backend it works fine, but does not display in tkinter and show the canvas with graph empty.instead the code below display the picture in separate window as pop-up. How can I display it in the canvas and inside the window?
from tkinter import *
from tkinter import ttk
import numpy as np
import pandas as pd
from scipy.stats import norm
import requests
from pandas_datareader import data as wb
import matplotlib.pyplot as plt
%matplotlib inline
from yahoofinancials import YahooFinancials
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib
matplotlib.use('TkAgg')
class Scr:
def __init__(self, master):
master.geometry('300x300+120+60')
self.frame_content = ttk.Frame(master)
self.frame_content.pack()
tickers = ['AAPL']
new_data = pd.DataFrame()
for t in tickers :new_data[t] = wb.DataReader(t, data_source ='yahoo', start = '2004-1-1')['Adj Close']
lr = np.log(1+new_data.pct_change())
var=lr.var()
mean=lr.mean()
drift = mean-(0.5 * var)
stdv=lr.std()
norm.ppf(0.95)
x = np.random.rand(10,2)
norm.ppf(x)
Ze=norm.ppf(np.random.rand(10,2))
t_intervals =1000
iteration=10
daily_returns=np.exp(drift.values + stdv.values * norm.ppf(np.random.rand(t_intervals,iteration)))
S=new_data.iloc[-1]
am = np.zeros_like(daily_returns)
am[0] = S
for t in range (1, t_intervals):
am[t]=am[t-1] * daily_returns[t]
graph3=ttk.Frame(master)
graph3.pack()
graph3.place(x=750,y=550)
plt.plot(am)
fig3 = matplotlib.pyplot.Figure(figsize=(6,6))
canvas3 = FigureCanvasTkAgg(fig3, graph3)
canvas3.get_tk_widget().pack()
ax3 = fig3.add_subplot(211)
am.plot(kind='line', legend=True, ax=ax3).grid(linestyle = 'dashed')
def main():
root = Tk()
scr = Scr(root)
root.mainloop()
if __name__ == "__main__": main()
The error message I got is :
'numpy.ndarray' object has no attribute 'plot'

Answer 1

am is numpy.ndarray
am = np.zeros_like(daily_returns)
and it doesn't have am.plot().
But pandas.DataFrame has it. You have to convert am to DataFrame
df = pd.DataFrame(am)
df.plot(kind='line', legend=True, ax=ax3).grid(linestyle = 'dashed')
(and you can remove plt.plot(am))
And remove graph3.place(x=750,y=550) which moves plot far away and it is invisible. You have to manually resize window to see plot.
from tkinter import *
from tkinter import ttk
import numpy as np
import pandas as pd
from scipy.stats import norm
import requests
from pandas_datareader import data as wb
import matplotlib.pyplot as plt
from yahoofinancials import YahooFinancials
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib
matplotlib.use('TkAgg')
class Scr:
def __init__(self, master):
master.geometry('300x300+120+60')
self.frame_content = ttk.Frame(master)
self.frame_content.pack()
tickers = ['AAPL']
new_data = pd.DataFrame()
for t in tickers:
new_data[t] = wb.DataReader(t, data_source='yahoo', start='2004-1-1')['Adj Close']
lr = np.log(1+new_data.pct_change())
var = lr.var()
mean = lr.mean()
drift = mean-(0.5 * var)
stdv = lr.std()
norm.ppf(0.95)
x = np.random.rand(10,2)
norm.ppf(x)
Ze = norm.ppf(np.random.rand(10,2))
t_intervals =1000
iteration = 10
daily_returns = np.exp(drift.values + stdv.values * norm.ppf(np.random.rand(t_intervals,iteration)))
am = np.zeros_like(daily_returns)
am[0] = new_data.iloc[-1]
for t in range (1, t_intervals):
am[t]=am[t-1] * daily_returns[t]
graph3 = ttk.Frame(master)
graph3.pack()
#graph3.place(x=750,y=550)
fig3 = matplotlib.pyplot.Figure(figsize=(6,6))
canvas3 = FigureCanvasTkAgg(fig3, graph3)
canvas3.get_tk_widget().pack()
ax3 = fig3.add_subplot(211)
df = pd.DataFrame(am)
df.plot(kind='line', legend=True, ax=ax3).grid(linestyle = 'dashed')
def main():
root = Tk()
scr = Scr(root)
root.mainloop()
if __name__ == "__main__":
main()