Sev application for multivariate analysis added

sev/exp/py/src/makefile

+include $(pwre_dir_symbols)
+
+ifndef variables_mk
+ include $(pwre_kroot)/tools/bld/src/variables.mk
+endif
+
+ifndef rules_mk
+ include $(pwre_kroot)/tools/bld/src/rules.mk
+endif
+
+vpath %.py $(co_source)
+
+source_dirs := $(co_source)
+
+py_sources := $(sort \
+             $(foreach file, \
+               $(foreach dir, \
+                 $(source_dirs), \
+                 $(wildcard $(dir)/*.py) \
+               ), $(notdir $(file)) \
+             ) \
+           )
+
+export_py := $(patsubst %.py, $(exe_dir)/%.py, $(py_sources))
+clean_py := $(patsubst %.py, clean_%.py, $(py_sources))
+
+
+.PHONY : all init copy lib exe clean realclean\
+         $(clean_py)
+
+all : init copy | silent
+
+init : silent
+
+copy : $(export_py) | silent
+
+lib : silent
+
+exe : silent
+
+clean :
+
+realclean : clean $(clean_py)
+
+silent :
+	@ :
+
+$(export_py) : $(exe_dir)/%.py : %.py
+	@ echo "Exporting $< ..."
+	@ $(cp) $(cpflags) $(source) $(target)
+
+$(clean_py) : clean_%.py : %.py
+	@ rm $(exe_dir)/$*.py

sev/exp/py/src/sev_analyse.py

+#!/usr/bin/python
+#
+# ProviewR   Open Source Process Control.
+# Copyright (C) 2005-2019 SSAB EMEA AB.
+#
+# This file is part of ProviewR.
+#
+# This program is free software; you can redistribute it and/or 
+# modify it under the terms of the GNU General Public License as 
+# published by the Free Software Foundation, either version 2 of 
+# the License, or (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful 
+# but WITHOUT ANY WARRANTY; without even the implied warranty of 
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License 
+# along with ProviewR. If not, see <http://www.gnu.org/licenses/>
+#
+# Linking ProviewR statically or dynamically with other modules is
+# making a combined work based on ProviewR. Thus, the terms and
+# conditions of the GNU General Public License cover the whole 
+# combination.
+#
+# In addition, as a special exception, the copyright holders of
+# ProviewR give you permission to, from the build function in the
+# ProviewR Configurator, combine ProviewR with modules generated by the
+# ProviewR PLC Editor to a PLC program, regardless of the license
+# terms of these modules. You may copy and distribute the resulting
+# combined work under the terms of your choice, provided that every 
+# copy of the combined work is accompanied by a complete copy of 
+# the source code of ProviewR (the version used to produce the
+# combined work), being distributed under the terms of the GNU 
+# General Public License plus this exception.
+#
+
+# Sev data analysis application
+
+
+from Tkinter import *
+import tkFileDialog
+import tkMessageBox
+import sys
+import time
+import pwrrt
+from datetime import datetime
+import statsmodels.api as am
+from statsmodels.sandbox.regression.predstd import wls_prediction_std
+import numpy as np
+import seaborn as sns
+import matplotlib.pyplot as plt
+import pandas as pd
+
+# adapted from http://matplotlib.org/examples/specialty_plots/hinton_demo.html
+def hinton(matrix, max_weight=None, ax=None):
+    """Draw Hinton diagram for visualizing a weight matrix."""
+    ax = ax if ax is not None else plt.gca()
+
+    if not max_weight:
+        max_weight = 2**np.ceil(np.log(np.abs(matrix).max())/np.log(2))
+
+    ax.patch.set_facecolor('lightgray')
+    ax.set_aspect('equal', 'box')
+    ax.xaxis.set_major_locator(plt.NullLocator())
+    ax.yaxis.set_major_locator(plt.NullLocator())
+
+    for (x, y), w in np.ndenumerate(matrix):
+        color = 'red' if w > 0 else 'blue'
+        size = np.sqrt(np.abs(w))
+        if size > 0.98: size = 0.98        
+        rect = plt.Rectangle([x - size / 2, y - size / 2], size, size,
+                             facecolor=color, edgecolor=color)
+        ax.add_patch(rect)
+
+    nticks = matrix.shape[0]
+    ax.xaxis.tick_top()
+    ax.set_xticks(range(nticks))
+    ax.set_xticklabels(list(matrix.columns), rotation=90)
+    ax.set_yticks(range(nticks))
+    ax.set_yticklabels(matrix.columns)
+    ax.grid(False)
+
+    ax.autoscale_view()
+    ax.invert_yaxis()
+
+# Plot callback
+def plot_action_cb(): 
+    cols = []
+    i = 0;
+    for name in wdname:
+        if datasel[i].get():
+            cols.append(wdcol[i])
+        i += 1
+                     
+    if len(cols) != 0:
+        plotdata = wd[cols]
+    else:
+        plotdata = wd
+    ax = plotdata.plot()
+    ax.legend(loc='center left', bbox_to_anchor=(1, 0.5));
+    plt.show()
+
+# Individual plot callback
+def indplot_action_cb(): 
+    cols = []
+    i = 0;
+    ccnt = 0
+    for name in wdname:
+        if datasel[i].get():
+            cols.append(wdcol[i])
+            ccnt += 1
+        i += 1
+                     
+
+    if len(cols) != 0:
+        plotdata = wd[cols]
+    else:
+        plotdata = wd
+        ccnt = wd.shape[1]
+        cols = wdcol
+        
+    layo = ccnt * 100 + 10
+
+    j = 0
+    plt.figure()
+    while j < ccnt:
+        plt.subplot(layo+j+1)
+        plt.plot(wdtime, plotdata[cols[j]])
+        plt.legend(loc='center left', bbox_to_anchor=(1, 0.5));
+        j = j + 1
+
+    plt.show()
+
+# Scatterplot callback
+def scatter_action_cb(): 
+    cols = []
+    i = 0;
+    for name in wdname:
+        if datasel[i].get():
+            cols.append(wdcol[i])
+        i += 1
+                     
+    if len(cols) != 0:
+        plotdata = wd[cols]
+    else:
+        plotdata = wd
+        
+    pd.tools.plotting.scatter_matrix(plotdata, diagonal="kde")
+    plt.tight_layout()
+    plt.show()
+
+# Correlationplot callback
+def corr_action_cb(): 
+    cols = []
+    i = 0;
+    for name in wdname:
+        if datasel[i].get():
+            cols.append(wdcol[i])
+        i += 1
+                     
+    if len(cols) != 0:
+        plotdata = wd[cols]
+    else:
+        plotdata = wd
+    corrmat = plotdata.corr()
+    #print corrmat
+    plt.figure()
+    hinton(corrmat)
+    plt.show()
+
+def corr2_action_cb(): 
+    cols = []
+    i = 0;
+    for name in wdname:
+        if datasel[i].get():
+            cols.append(wdcol[i])
+        i += 1
+                     
+    if len(cols) != 0:
+        plotdata = wd[cols]
+    else:
+        plotdata = wd
+    corrmat = plotdata.corr()
+    plt.figure()
+    sns.heatmap(corrmat, vmin=-1., vmax=1., square=False, cmap='RdBu_r').xaxis.tick_top()
+    plt.show()
+
+# Regressionplot callback
+def regr_action_cb(): 
+    cols = []
+    i = 0;
+    for name in wdname:
+        if datasel[i].get():
+            cols.append(wdcol[i])
+        i += 1
+                     
+    if len(cols) != 2:
+        tkMessageBox.showerror("Error", "Select two attributes")
+        return
+
+    plotdata = wd[cols]
+    plt.figure()
+    sns.regplot(x=cols[0],y=cols[1],data=plotdata)
+    plt.show()
+
+# Clip reset callback
+def clipreset_action_cb():
+    global wd
+    global wdtime
+    global wdcol
+    global wdname
+    
+    wd = origdata.loc[:,origcol[1]:]
+    wdtime = origdata.loc[:,origcol[0]]
+
+    wdcol = []
+    wdname = []
+
+    i = 0
+    while i < wd.shape[1]:
+        colname = "A" + str(i+1)
+        wdcol.append(colname)
+        wdname.append(origcol[i+1])
+        i += 1
+
+    wd.columns = wdcol
+
+    dataframe.pack_forget()
+    dataframe.destroy()
+    actionframe.pack_forget()
+    actionframe.destroy()
+    create_dataframe()
+    create_actionframe()    
+
+# Clip callback
+def clip_action_cb():
+    global minentry
+    global maxentry
+    global clipdia
+    
+    clipdia = Toplevel(window, bg=bgcolor)
+    clipdia.title('Clip')
+
+    defaultmin = StringVar()
+    minlabel = Label(clipdia, text='Min', bg=bgcolor)
+    minlabel.grid(column=0, row=0, padx=20, pady=5, sticky=W)
+    minentry = Entry(clipdia, textvariable=defaultmin, bg=bgcolor)
+    defaultmin.set(str(0))
+    minentry.grid(column=1, row=0, padx=20, pady=5, sticky=W)
+
+    # Max entry
+    defaultmax = StringVar()
+    maxlabel = Label(clipdia, text='Max', bg=bgcolor)
+    maxlabel.grid(column=0, row=1, padx=20, pady=5, sticky=W)
+    maxentry = Entry(clipdia, textvariable=defaultmax, bg=bgcolor)
+    defaultmax.set(str(wd.shape[0]))
+    maxentry.grid(column=1, row=1, padx=20, pady=5, sticky=W)
+
+    readdatabutton = Button(clipdia, text="Apply", command=clip_action_ok_cb, bg=buttoncolor);
+    readdatabutton.grid(column=0, row=2, padx=60, pady=20, sticky=W)
+
+    readdatabutton = Button(clipdia, text="Cancel", command=clip_action_cancel_cb, bg=buttoncolor);
+    readdatabutton.grid(column=1, row=2, padx=60, pady=20, sticky=W)
+
+def clip_action_cancel_cb():
+    clipdia.destroy()
+
+def clip_action_ok_cb():
+    global wd
+    global wdtime
+    global wdname
+    global wdcol
+
+    minvalue = int(minentry.get())
+    maxvalue = int(maxentry.get())
+    clipdia.destroy()
+    
+    i = 0
+    new_wdcol = []
+    new_wdname = []
+    cols = []
+    for name in wdname:
+        if datasel[i].get():
+            new_wdcol.append(wdcol[i])
+            new_wdname.append(wdname[i])
+        i += 1
+                     
+    if len(new_wdcol) != 0:
+        wd = wd[new_wdcol]
+        wdcol = new_wdcol
+        wdname = new_wdname
+        
+    wd = wd[minvalue:maxvalue]
+    wdtime = wdtime[minvalue:maxvalue]
+    dataframe.pack_forget()
+    dataframe.destroy()
+    actionframe.pack_forget()
+    actionframe.destroy()
+    create_dataframe()
+    create_actionframe()    
+    
+def close_action_cb(arg=0):
+    print 'Close action'
+    window.quit()
+    
+# Save original dataframe
+def save_action_cb(): 
+    file = tkFileDialog.asksaveasfilename(initialdir='./', title='Select file',
+                                          filetypes=[('dat files','*.dat'),('all files','*.*')])
+    if file != '':
+        origdata.to_csv(file, index=False)
+
+# Save work dataframe
+def savewd_action_cb(): 
+    file = tkFileDialog.asksaveasfilename(initialdir='./', title='Select file',
+                                          filetypes=[('dat files','*.dat'),('all files','*.*')])
+    if file != '':
+        save = wd
+        save.columns = wdname
+        save.insert(0, 'Time', wdtime)
+        save.to_csv(file, index=False)
+
+# Open from file
+def open_action_cb(arg=0): 
+    global origdata
+    global wd
+    global wdtime
+    global wdname
+    global origcol
+    global wdcol
+    
+    file = tkFileDialog.askopenfilename(initialdir='./', title='Open file',
+                                          filetypes=[('dat files','*.dat'),('all files','*.*')])
+    if file != '':
+        origdata = pd.read_csv(file, parse_dates=[0])
+        origcol = origdata.columns
+        wd = origdata.loc[:,origcol[1]:]
+        wdtime = origdata.loc[:,origcol[0]]
+
+        wdcol = []
+        wdname = []
+
+        i = 0
+        while i < wd.shape[1]:
+            colname = "A" + str(i+1)
+            wdcol.append(colname)
+            wdname.append(origcol[i+1])
+            i += 1
+
+        wd.columns = wdcol
+        if 'dataframe' in globals():
+            dataframe.pack_forget()
+            dataframe.destroy()
+            actionframe.pack_forget()
+            actionframe.destroy()
+            
+        create_dataframe()
+        create_actionframe()
+        
+def on_configure(event):
+    size = iteminnerframe.winfo_reqwidth(), iteminnerframe.winfo_reqheight()
+    canvas.config(scrollregion="0 0 %s %s" % size)
+
+# Create frame to show and select sev items
+def fetchitems_cb(): 
+    global itemframe
+    global sel
+    global items
+    global canvas
+    global iteminnerframe
+    global server
+    global fromentry
+    global toentry
+    global intervalentry
+    global maxentry
+    
+    filtervalue = filterentry.get()
+    server = serverentry.get()
+
+    items = pwrrt.getSevItemList(server, filtervalue)
+
+    itemframe = Frame(window, bg=bgcolor)
+    
+    # Scrollbars
+    scrollbar = Scrollbar(itemframe, orient=VERTICAL)
+    canvas = Canvas(itemframe, bd= 0, bg=bgcolor, yscrollcommand=scrollbar.set)
+    scrollbar.config(command=canvas.yview)
+    scrollbar.pack(side=RIGHT, fill=Y)
+    canvas.pack(expand=1, side=LEFT, fill=BOTH)
+    canvas.xview("moveto", 0)
+    canvas.yview("moveto", 0)
+    iteminnerframe = Frame(canvas, bg=bgcolor)
+    iteminnerframe.bind('<Configure>', on_configure)
+    canvas.create_window(0, 0, window=iteminnerframe, anchor=NW)
+
+    row = 0
+
+    valframe = Frame(iteminnerframe, bg=bgcolor)
+
+    # From entry
+    defaultfrom = StringVar()
+    fromlabel = Label(valframe, text='From')
+    fromlabel.grid(column=0, row=row, padx=0, pady=5, sticky=W)
+    fromlabel.config(bg=bgcolor)
+    fromentry = Entry(valframe, textvariable=defaultfrom)
+    defaultfrom.set('00:05:00')
+    fromentry.grid(column=1, row=row, padx=20, pady=5, sticky=W)
+    fromentry.config(bg=bgcolor)
+    row += 1
+
+    # From entry
+    defaultto = StringVar()
+    tolabel = Label(valframe, text='To')
+    tolabel.grid(column=0, row=row, padx=0, pady=5, sticky=W)
+    tolabel.config(bg=bgcolor)
+    toentry = Entry(valframe, textvariable=defaultto)
+    defaultto.set('now')
+    toentry.grid(column=1, row=row, padx=20, pady=5, sticky=W)
+    toentry.config(bg=bgcolor)
+    row += 1
+
+    # Interval entry
+    defaultinterval = StringVar()
+    intervallabel = Label(valframe, text='Interval')
+    intervallabel.grid(column=0, row=row, padx=0, pady=5, sticky=W)
+    intervallabel.config(bg=bgcolor)
+    intervalentry = Entry(valframe, textvariable=defaultinterval)
+    defaultinterval.set('1.0')
+    intervalentry.grid(column=1, row=row, padx=20, pady=5, sticky=W)
+    intervalentry.config(bg=bgcolor)
+    row += 1
+
+    # Max rows
+    defaultmax = StringVar()
+    maxlabel = Label(valframe, text='Max')
+    maxlabel.grid(column=0, row=row, padx=0, pady=5, sticky=W)
+    maxlabel.config(bg=bgcolor)
+    maxentry = Entry(valframe, textvariable=defaultmax)
+    defaultmax.set('500')
+    maxentry.grid(column=1, row=row, padx=20, pady=5, sticky=W)
+    maxentry.config(bg=bgcolor)
+    row += 1
+
+
+    readdatabutton = Button(valframe, text="Read DataSet", command=readdata_cb, bg=buttoncolor);
+    readdatabutton.grid(column=0, row=row, padx=0, pady=20, sticky=W)
+    row += 1
+
+    valframe.grid(column=0, row=0, padx=20, pady=5, sticky=W)
+
+    i = 0
+    row = 1
+    sel = [None] * len(items)
+    for item in items:
+        sel[i] = IntVar()
+        text = item[0] + "." + item[6]
+        item_checkbox = Checkbutton(iteminnerframe, text=text, variable=sel[i], highlightthickness=0,
+                                    bg=bgcolor)
+        item_checkbox.grid(column=0, row=i+row, padx=20, pady=5, sticky=W)
+        i = i + 1
+
+    filterframe.pack_forget()
+    filterframe.destroy()
+    itemframe.pack(expand=1, fill=BOTH)
+
+
+# Create frame with action buttons
+def create_actionframe():
+    global actionframe
+    
+    actionframe = Frame(window, bg=bgcolor)
+
+    # Create plot button
+    plot_button = Button(actionframe, text="Plot", command=plot_action_cb, bg=buttoncolor) 
+    plot_button.grid(column=0, row=1, padx=10, pady=10, sticky='ew')
+
+    # Create plot button
+    plots_button = Button(actionframe, text="Plot2", command=indplot_action_cb, bg=buttoncolor) 
+    plots_button.grid(column=1, row=1, padx=0, pady=10, sticky='ew') 
+
+    # Create scatterplot button
+    scatter_button = Button(actionframe, text="ScatterPlot", command=scatter_action_cb, bg=buttoncolor) 
+    scatter_button.grid(column=0, row=2, padx=10, pady=10, sticky='ew') 
+
+    # Create correlation plot button
+    corr_button = Button(actionframe, text="CorrelationPlot", command=corr_action_cb, bg=buttoncolor) 
+    corr_button.grid(column=0, row=3, padx=10, pady=10, sticky='ew')
+
+    # Create correlation plot button
+    corr2_button = Button(actionframe, text="CorrelationPlot2", command=corr2_action_cb, bg=buttoncolor) 
+    corr2_button.grid(column=1, row=3, padx=10, pady=10, sticky='ew')
+
+    # Create linear regression plot button
+    regr_button = Button(actionframe, text="LinearRegressionPlot", command=regr_action_cb, bg=buttoncolor) 
+    regr_button.grid(column=0, row=4, padx=10, pady=10, sticky='ew')
+
+    # Create menu
+    menubar = Menu(window, bg=buttoncolor)
+    filemenu = Menu(menubar, bg=buttoncolor)
+    filemenu.add_command(label='Open', command=open_action_cb, accelerator='Ctrl+O')
+    filemenu.add_command(label='Import from server', command=create_filterframe)
+    filemenu.add_command(label='Save', command=save_action_cb)
+    filemenu.add_command(label='Save Work Data', command=savewd_action_cb)
+    filemenu.add_command(label='Clip', command=clip_action_cb)
+    filemenu.add_command(label='Clip Reset', command=clipreset_action_cb)
+    filemenu.add_command(label='Close', command=close_action_cb, accelerator='Ctrl+W')
+    menubar.add_cascade(label='File', menu=filemenu)
+    window.config(menu=menubar)
+    
+    actionframe.pack(side=LEFT)
+
+# Read dataframe from sev database
+def readdata_cb():
+    # Get selected items
+    global origcol
+    global origdata
+    global wd
+    global wdname
+    global wdcol
+    global wdtime
+    global sel
+
+    wdname = []
+    dataattr = []
+    dataoid = []
+    origcol = ['Time']
+    wdcol = []
+
+    i = 0
+    j = 0
+    for selected in sel:
+        if selected.get():
+            colname = items[i][0] + '.' + items[i][6]
+            wdname.append(colname)
+            dataattr.append(items[i][6])
+            dataoid.append(items[i][1])
+            origcol.append(colname)
+            colname = "A" + str(j+1)
+            wdcol.append(colname)
+            j += 1
+        i += 1
+        
+    if j == 0:
+        tkMessageBox.showerror("Error", "No item is selected")
+        return
+    
+    fromvalue = fromentry.get()
+    tovalue = toentry.get()
+    intervalvalue = float(intervalentry.get())
+    maxvalue = int(maxentry.get())
+
+    result = pwrrt.getSevItemsDataFrame( server, dataoid, dataattr, 
+                                         fromvalue, tovalue, intervalvalue, maxvalue)
+
+    origdata = pd.DataFrame(data=result)
+    origdata.columns = origcol
+    wd = origdata.loc[:,origcol[1]:]
+    wd.columns = wdcol
+    wdtime = origdata.loc[:,origcol[0]]
+
+    itemframe.pack_forget()
+    itemframe.destroy()
+
+    create_dataframe()
+    create_actionframe()
+
+def create_dataframe():
+    global datasel
+    global dataframe
+    global startframe
+
+    if 'startframe' in globals():    
+        startframe.pack_forget()
+        startframe.destroy()
+    dataframe = Frame(window, bg=bgcolor)
+
+    # Create dataset label
+    dataset_label = Label(dataframe, text="Dataset " + str(wd.shape[1]) + " X " +
+                          str(wd.shape[0]));
+    dataset_label.grid(column=0, row=0, padx=50, pady=10, sticky='ew') 
+    dataset_label.config(bg=bgcolor)
+
+    i = 0
+    datasel = [None] * len(wdcol)
+    for name in wdcol:
+        datasel[i] = IntVar()
+        text = wdcol[i] + ' ' + wdname[i]
+        item_checkbox = Checkbutton(dataframe, text=text, variable=datasel[i], highlightthickness=0,
+                                    bg=bgcolor)
+        item_checkbox.grid(column=0, row=i+1, padx=20, pady=5, sticky=W)
+        i = i + 1
+
+    dataframe.pack(side=LEFT, fill=X)
+
+# Create filter frame
+def create_filterframe():
+    global filterframe
+    global filterentry
+    global serverentry
+    global startframe
+
+    if 'itemframe' in globals():
+        itemframe.pack_forget()
+        itemframe.destroy()
+
+    if 'dataframe' in globals():
+        dataframe.pack_forget()
+        dataframe.destroy()
+        actionframe.pack_forget()
+        actionframe.destroy()
+        
+    if 'startframe' in globals():    
+        startframe.pack_forget()
+        startframe.destroy()
+    
+    filterframe = Frame(window, bg=bgcolor)
+    defaultserver = StringVar()
+
+    # Server entry
+    serverlabel = Label(filterframe, text='Sev server')
+    serverlabel.grid(column=0, row=0, padx=20, pady=5, sticky=W)
+    serverlabel.config(bg=bgcolor)
+    serverentry = Entry(filterframe, textvariable=defaultserver)
+    defaultserver.set('pwr56-build')
+    serverentry.grid(column=1, row=0, padx=20, pady=5, sticky=W)
+    serverentry.config(bg=bgcolor)
+
+    # Filter entry
+    filterlabel = Label(filterframe, text='Item Filter')
+    filterlabel.grid(column=0, row=1, padx=20, pady=5, sticky=W)
+    filterlabel.config(bg=bgcolor)
+    filterentry = Entry(filterframe)
+    filterentry.grid(column=1, row=1, padx=20, pady=5, sticky=W)
+    filterentry.config(bg=bgcolor)
+
+    # Fetch items button
+    filterbutton = Button(filterframe, text='Fetch Items', command=fetchitems_cb, bg=buttoncolor)
+    filterbutton.grid(column=2, row=1, padx=20, pady=5, sticky=W)
+    filterframe.pack(side=LEFT, fill=X)
+
+# Create window
+bgcolor = 'white'
+buttoncolor = '#F0F0F0'
+window = Tk() 
+window.title("ProviewR Multivariate Analysis") 
+window.geometry('800x500') 
+
+# Create menu
+menubar = Menu(window, bg=buttoncolor)
+filemenu = Menu(menubar, bg=buttoncolor)
+filemenu.add_command(label='Open', command=open_action_cb, accelerator='Ctrl+O')
+filemenu.add_command(label='Import from server', command=create_filterframe)
+filemenu.add_command(label='Close', command=close_action_cb, accelerator='Ctrl+W')
+menubar.add_cascade(label='File', menu=filemenu)
+window.config(menu=menubar,bg=bgcolor)
+window.bind_all("<Control-w>", close_action_cb)
+window.bind_all("<Control-o>", open_action_cb)
+
+startframe = Frame(window, bg=bgcolor)
+canvas = Canvas(startframe, width=800, height=200, bg=bgcolor)
+canvas.pack()
+img = PhotoImage(file="/data0/x5-6-1/rls/os_linux/hw_x86_64/exp/exe/pwr_logga.png")
+canvas.create_image(400, 100, image=img)
+startframe.pack(side=LEFT, fill=X)
+
+window.mainloop()
+