Problem In calling a Function from another python file of project

[vinod2810]

Thanks for your valuable reply facing another problem similar like this I am posting my error and code below please provide your suggestion

Error faced is described below:
Backend TkAgg is interactive backend. Turning interactive mode on.
Exception in Tkinter callback
Traceback (most recent call last):
File "C:\Users\LM HealthCare\AppData\Local\Programs\Python\Python37-32\lib\tkinter\__init__.py", line 1705, in __call__
return self.func(*args)
File "C:\Users\LM HealthCare\Documents\Pycharm\Projects\EEG\EEG.py", line 47, in click
Click_Listner.Start_click(line)
AttributeError: module 'Click_Listner' has no attribute 'Start_click'



Code for EEG.py

from tkinter import *
import numpy as np
import Digital_Filter
import array as arr
import matplotlib.pyplot as plt
import Click_Listner
import Test
# some program constants
alpha_band_Hz = [8.0, 10.5]   # where to look for the alpha peak
noise_band_Hz = [14.0, 20.0]  # was 20-40 Hz
NFFT = 400      # pitck the length of the fft
fs_Hz = 100.0   # assumed sample rate for the EEG data
f_lim_Hz = [0, 40]      # frequency limits for plotting
t_lim_sec = [0, 0]      # default plot time limits [0,0] will be ignored
alpha_lim_sec = [0, 0]  # default
output = [] # Array to store float data coverted from string


main = Tk()
# Reading text file in
def read_file():
    with open("C:\\Users\\LM HealthCare\\Desktop\\Desktop C drive desktop\\EEG,ECG txt Data\\delta_Band_Power.txt", "r") as f:
        eeg_data = f.read()
        eeg_data = eeg_data.split('\n')
        n = 0



        for line in eeg_data:
            line1 = float(eeg_data[n])
            output.append(line1)
            n += 1
    # Applying filters
    Filtered_Data = Digital_Filter.apply_filter1hz_Highpass(output)
    t_sec = np.array(range(0, Filtered_Data.size)) / 250
    #ax[0].plot(t_sec, Filtered_Data, color='green')
    Filtered_Data = Digital_Filter.apply_filter60hz_Notch(Filtered_Data)
    #ax[1].plot(t_sec, Filtered_Data, color='red')
    Filtered_Data = Digital_Filter.apply_filter120hz_Notch(Filtered_Data)
    return Filtered_Data

# Functions for click events
def click():
    Test.Ft_data=read_file()
    for line in Test.Ft_data:
        Click_Listner.Start_click(line)

# Setting Main Window of the Application
main.title('NeuroCare')
screen_width = main.winfo_screenwidth()
screen_height = main.winfo_screenheight()
main_Window_width = screen_width - 8
main_Window_height = screen_height - 90

main.geometry("{}x{}+{}+{}".format(main_Window_width, main_Window_height, -5, -3))
main.resizable(0, 0)
Filtered_Data = []


# Adding menubar and menu options
menu = Menu(main)
menu.bg = 'black'
main.config(menu=menu)

filemenu = Menu(menu)
menu.add_cascade(label="File", menu=filemenu)
filemenu.add_command(label='New')

editmenu = Menu(menu)
menu.add_cascade(label='Edit', menu=editmenu)

# Adding Toolbar options
toolbar = Frame(main.master, bd=1, relief=RAISED, bg='light blue')
New_button = Button(toolbar, text='Start', activebackground='light grey', command=click ).pack(side=LEFT, padx=2, pady=2)
toolbar.pack(side=TOP, fill=X)

# Add a canvas to plot eeg waves
eeg_canvas = Canvas(main, bg='yellow', width=main_Window_width, height=main_Window_height - 40, relief = SUNKEN).pack(fill=X, side="top")

Raw_data = []


#plt.plot(output, 'k-', label='input')
#plt.show()


# fig, ax  = plt.subplots(2,1)
#
#
# ax[0].plot(t_sec, Filtered_Data, color='blue')
# ax[0].set_ylim(-100, 100)
# ax[0].set_xlim(0, 30)
# ax[0].set_ylabel('EEG (uV)')
# ax[0].set_xlabel('Time (sec)')
#
# plt.ylim(-100, 100)
# plt.ylabel('EEG (uV)')
# plt.xlabel('Time (sec)')
# plt.xlim(70, 120)
#Filtered_Data = Filtered_Data.__format__('%.5f')


#plt.show()


#plt.plot(Filtered_Data, 'b-', linewidth=1.5, label='filtered')
#plt.show()
#Filtered_Data = Filtered_Data.split('\n')
x=10

main.mainloop()

Code for click_listner:

import Functions
#import Test
def Start_click(xvalue):
   # for line in Test.Ft_data:
        Functions.dataEnter = True
        Functions.Print_Canavas(xvalue)
   # x=True

Code for functions:

import EEG
currentX = 0
lastX = 0
y1 = 200
y2=  200
dataEnter = False
def Print_Canavas(xvalue):
    currentx = lastX + 0.1
    if dataEnter == True :
        EEG.eeg_canvas.create_line(lastX, y1, currentX , (y2-xvalue), fill = 'Green')
        EEG.eeg_canvas.create_line(0, 50 * 2, 400, 50 * 2)

        y1= ( y2 - xvalue )
        dataEnter = False
    lastX = currentX
    if lastX == EEG.eeg_canvas.width:
        lastx = 0

Code for Test:

Ft_data=[]