name error:name 'wav_filename' is not defined - python-3.x

name 'wav_filename' is not defined
def Text2Speech(file_name,InpText):
Mp3Extension=".mp3"
waveExtension=".wav"
mp3FilePath="C:\\Texttospeech\\"+file_name+Mp3Extension
waveFilePath="C:\\Texttospeech\\"+file_name+waveExtension
if os.path.isfile(waveFilePath):
PlaySound(waveFilePath);
else:
tts=gTTS(text=InpText,lang="en-us")
tts.save(mp3FilePath)
f = TemporaryFile();
tts.write_to_fp(f);
f.close();
subprocess.call(['C:\\Temp\\ffmpeg\\bin\\ffmpeg', '-i', mp3FilePath,mp3FilePath])
PlaySound(waveFilePath);
return;
def PlaySound (wavFile) :
chunk = 1024
try:
wf = wave.open(wavFile, 'rb')
except IOError as ioe:
sys.stderr.write('IOError on file ' + wav_filename + '\n' + \
str(ioe) + '. Skipping.\n')
return
except EOFError as eofe:
sys.stderr.write('EOFError on file ' + wav_filename + '\n' + \
str(eofe) + '. Skipping.\n')
return
# Instantiate PyAudio.
p = pyaudio.PyAudio()
stream = p.open(
format = p.get_format_from_width(wf.getsampwidth()),
channels = wf.getnchannels(),
rate = wf.getframerate(),
output = True)
data = wf.readframes(chunk)
while len(data) > 0:
stream.write(data)
data = wf.readframes(chunk)

wav_filename was not defined in the function PlaySound.

Related

Can file object called from decorator to wrapped function?

I want to call the file object from decorator to the wrapped function . may codes as below :
from functools import wraps
checkresultfile = './test.txt'
def log_detection_res(detect_items = ''):
def process_reminder_decorator(check_func):
#wraps(check_func)
def addingReminder(*args, **kwargs):
process_begin_reminder = "=" * 10 + detect_items + "start" + "=" * 10
process_stop_reminder = "=" * 10 + detect_items + "end" + "=" * 10
with open(checkresultfile, 'a') as res_file:
res_file.write(process_begin_reminder + '\n')
check_func(*args, **kwargs)
res_file.write(process_stop_reminder + '\n')
return check_func(*args, **kwargs)
return addingReminder
return process_reminder_decorator
#log_detection_res(detect_items = 'filter odd')
def print_odd(array_a):
for _ in array_a:
if _ % 2 == 0:
checkresultfile.write(_)
filter_dd = print_odd([1,2,3,4,5])
out_put
line 21, in print_odd
checkresultfile.write(_)
AttributeError: 'str' object has no attribute 'write'
The error comes due to checkresultfile is a str not file object, the error parts can be fixed by as below :
def print_odd(array_a):
with open (checkresultfile, 'a') as f:
for _ in array_a:
if _ % 2 == 0:
f.write(str(_))
I don't want ot use with open ... as ... in the wrapped function but call the res_file in decorator , is that reliable in such situation ?
Below way works:
from functools import wraps
checkresultfile = './test.txt'
def log_detection_res(detect_items = ''):
def process_reminder_decorator(check_func):
#wraps(check_func)
def addingReminder(*args, **kwargs):
process_begin_reminder = "=" * 10 + detect_items + "start" + "=" * 10
process_stop_reminder = "=" * 10 + detect_items + "end" + "=" * 10
with open(checkresultfile, 'a') as res_file:
res_file.write(process_begin_reminder + '\n')
#adding a key parameter to refer to file object res_file in decorator
check_func(output_file = res_file, *args, **kwargs)
res_file.write(process_stop_reminder + '\n')
return check_func
return addingReminder
return process_reminder_decorator
#log_detection_res(detect_items = 'filter odd')
def print_odd(array_a, output_file):
for _ in array_a:
if _ % 2 == 0:
output_file.write(_)
filter_dd = print_odd(array_a = [1,2,3,4,5])

Threading while loading wxGrid - Python

I'm loading a wxGrid with values from a dataframe. I'm trying to use threading so my GUI doesn't freeze(some of the SQL tables are ~60,000 x 16 and take some time to load), but I guess I'm not understanding the concept. Sometimes it runs just fine works.
Other times it crashes and exits with:
Could not convert to integer: 3221226525. Path 'exitCode'.
Value was either too large or too small for an Int32.
I have also tried implementing another thread so that my wx.gauge loads properly. That causes it to fail more often. Can anyone give me any leads? I've been stuck on this for hours.
Snippets from my code:
I also tried implementing another thread to update the wx.Gauge seperately with no success. The gauge updated but had very weird behavior. Any help would be greatly appreciated.
EDIT CODE ADDED Warning, this is probably going to be ugly
import sys
import os
import wx
import wx.grid as gridlib
import wx.lib.agw.pygauge as PG
import mysql.connector as sql
import MySQLdb
import datetime
import pandas as pd
from collections import OrderedDict
import threading #as thread
import time
from time import sleep
#import urllib
#result_available = threading.Event()
#df_data=pd.DataFrame()
class PageOne(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#wx.StaticText(self, -1, "This is a PageOne object", (20,20))
class PageTwo(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#wx.StaticText(self, -1, "This is a PageTwo object", (40, 40))
class PageThree(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#wx.StaticText(self, -1, "This is a PageThree object", (60, 60))
class PageDynamic(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
wx.StaticText(self, -1, "This is a Dynamic object", (60, 60))
class MainFrame(wx.Frame):
def __init__(self, parent):
wx.Frame.__init__(self, parent, title="Varkey Foundation") #none
#Layout
self.__DoLayout()
def __DoLayout(self):
self.SetBackgroundColour( wx.Colour( 58, 56, 56 ) )
# Here we create a panel and a notebook on the panel
self.p = wx.Panel(self)
self.p.SetBackgroundColour( wx.Colour( 0, 0, 0 ) ) # 38,38,38
#self.Show() <Layout Error when GUI is launched
self.Maximize(True)
self.nb = wx.Notebook(self.p)
self.nb.SetBackgroundColour(wx.Colour(58, 56, 56) )
#CreateFonts
self.b_font = wx.Font(14,wx.ROMAN,wx.NORMAL,wx.BOLD, True)
self.lbl_font = wx.Font(14,wx.ROMAN,wx.NORMAL,wx.NORMAL, True)
self.cb_font = wx.Font(11,wx.SCRIPT,wx.ITALIC,wx.NORMAL, True)
self.h_font = wx.Font(18,wx.DECORATIVE,wx.ITALIC,wx.BOLD, True)
#Create Title bmp
ico = wx.Icon('varkey_bmp.bmp', wx.BITMAP_TYPE_ICO)
self.SetIcon(ico)
# create the page windows as children of the notebook
self.page1 = PageOne(self.nb)
self.page2 = PageTwo(self.nb)
self.page3 = PageThree(self.nb)
# add the pages to the notebook with the label to show on the tab
self.nb.AddPage(self.page1, "Data")
self.nb.AddPage(self.page2, "Analyze")
self.nb.AddPage(self.page3, "Change Log")
#Create widgets for top sizer
self.lbl_user = wx.StaticText(self.p,label="Username:")
self.lbl_password = wx.StaticText(self.p,label="Password:")
self.lbl_interaction = wx.StaticText(self.p,label="Interaction:")
self.lbl_table = wx.StaticText(self.p,label="Table:")
#SetForground colors
self.lbl_user.SetForegroundColour((255,255,255))
self.lbl_password.SetForegroundColour((255,255,255))
self.lbl_interaction.SetForegroundColour((255,255,255))
self.lbl_table.SetForegroundColour((255,255,255))
#Set Fonts
self.lbl_user.SetFont(self.lbl_font)
self.lbl_password.SetFont(self.lbl_font)
self.lbl_interaction.SetFont(self.lbl_font)
self.lbl_table.SetFont(self.lbl_font)
self.tc_user =wx.TextCtrl(self.p,size = (130,25))
self.tc_password =wx.TextCtrl(self.p, style=wx.TE_PASSWORD | wx.TE_PROCESS_ENTER,size = (130,25))
self.tc_password.Bind(wx.EVT_TEXT_ENTER,self.onLogin)
self.tc_user.SetFont(self.cb_font)
self.tc_password.SetFont(self.cb_font)
self.btn_login = wx.Button(self.p,label="Login", size=(105,25))
self.btn_login.SetBackgroundColour(wx.Colour(198, 89, 17))
self.btn_login.SetFont(self.b_font)
self.btn_login.Bind(wx.EVT_BUTTON, self.onLogin) #connect_mysql
self.btn_logout = wx.Button(self.p,label="Logout",size=(105,25))
self.btn_logout.SetBackgroundColour(wx.Colour(192,0,0))
self.btn_logout.SetFont(self.b_font)
self.btn_logout.Bind(wx.EVT_BUTTON, self.onLogout)
self.combo_interaction = wx.ComboBox(self.p, size = (160,25),style = wx.CB_READONLY | wx.CB_SORT | wx.CB_SORT)
self.combo_interaction.Bind(wx.EVT_COMBOBOX, self.onComboInteraction)
self.combo_table = wx.ComboBox(self.p, size = (160,25),style = wx.CB_READONLY | wx.CB_SORT | wx.CB_SORT)
self.combo_table.Bind(wx.EVT_COMBOBOX, self.onHideCommands)
self.combo_interaction.SetFont(self.cb_font)
self.combo_table.SetFont(self.cb_font)
#self.combo_table.Bind(wx.EVT_COMBOBOX ,self.OnComboTable)
self.btn_load = wx.Button(self.p,label="Load Table", size=(105,25))
self.btn_load.SetBackgroundColour(wx.Colour(31, 216, 6))
self.btn_load.SetFont(self.b_font)
self.btn_load.Bind(wx.EVT_BUTTON, self.onLoadData)
#Create Widgets for bottom sizer
self.lc_change = wx.ListCtrl(self.p,-1,style = wx.TE_MULTILINE | wx.LC_REPORT | wx.LC_VRULES)
self.lc_change.InsertColumn(0,"User ID")
self.lc_change.InsertColumn(1,"Status")
self.lc_change.InsertColumn(2,"Description")
self.lc_change.InsertColumn(3,"Date/Time")
#Set column widths
self.lc_change.SetColumnWidth(0, 75)
self.lc_change.SetColumnWidth(1, 75)
self.lc_change.SetColumnWidth(2, 450)
self.lc_change.SetColumnWidth(3, 125)
#Add Row Button
self.btn_new = wx.Button(self.page1,label="+", size = (35,25))
self.btn_new.SetForegroundColour(wx.Colour(112,173,71))
self.btn_new.SetFont(self.h_font)
self.btn_new.Bind(wx.EVT_BUTTON, self.onInsertRecordBelow)
#Page 1 - Create grids/sizers and add to notebook
self.color1 = (0,0,0)
self.title = wx.StaticText(self.page1,label="",style = wx.ALIGN_CENTER | wx.ST_NO_AUTORESIZE)
self.title.SetForegroundColour((255,255,255))
self.title.SetFont(self.h_font)
self.data_grid = gridlib.Grid(self.page1)
self.data_grid.CreateGrid(0,0) #219,16
self.p1_sizer = wx.BoxSizer(wx.VERTICAL)
self.p1_sizer.Add(self.title,0,wx.EXPAND,5)
self.p1_sizer.Add(self.data_grid,3,wx.RIGHT |wx.LEFT |wx.EXPAND, 20)
self.p1_sizer.Add(self.btn_new,-0,wx.ALIGN_CENTER,5)
self.page1.SetSizer(self.p1_sizer)
#Page 2 - Create grids/sizers and add to notebook #<<<<<<< Need to create correct table size
self.analyze_grid = gridlib.Grid(self.page2)
self.analyze_grid.CreateGrid(0, 10)
self.p2_sizer = wx.BoxSizer(wx.VERTICAL)
self.p2_sizer.Add(self.analyze_grid,1,wx.EXPAND)
self.page2.SetSizer(self.p2_sizer)
#Page 3 - Create Change Log
self.log_grid = gridlib.Grid(self.page3)
self.log_grid.CreateGrid(0, 9)
self.log_grid.EnableEditing(False)
self.p3_sizer = wx.BoxSizer(wx.VERTICAL)
self.p3_sizer.Add(self.log_grid,1,wx.EXPAND)
self.page3.SetSizer(self.p3_sizer)
#Insert Image
self.staticbitmap = wx.StaticBitmap(self.p)
#browse = wx.Button(self.p, label='Browse')
#browse.Bind(wx.EVT_BUTTON, self.OnBrowse)
self.staticbitmap.SetBitmap(wx.Bitmap('varkey_logo2.jpg'))
self
#Create Filler text
self.lbl_filler = wx.StaticText(self.p,label="",size = (125,20))
#Create FlexGridSizers(For top half)
self.left_fgs = wx.FlexGridSizer(3,4,25,15)
self.left_fgs.AddMany([(self.lbl_user,1,wx.ALIGN_LEFT | wx.LEFT,15),(self.tc_user,1,wx.EXPAND),(self.lbl_interaction,1,wx.ALIGN_RIGHT|wx.RIGHT, 10),(self.combo_interaction,1,wx.EXPAND),
(self.lbl_password,1,wx.ALIGN_LEFT| wx.LEFT,15),(self.tc_password,1,wx.EXPAND),(self.lbl_table,1,wx.ALIGN_RIGHT|wx.RIGHT, 10),(self.combo_table),
(self.btn_login,2,wx.EXPAND),(self.btn_logout,1,wx.EXPAND),(self.lbl_filler,1,wx.EXPAND),(self.btn_load,1)])
#Create Top Sizer and add FGS
self.top_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.top_sizer.Add(self.left_fgs,proportion = 1, flag = wx.ALL|wx.EXPAND,border = 30)
#self.top_sizer.Add(self.right_fgs,proportion = 1, flag = wx.TOP|wx.BOTTOM ,border = 30)
self.top_sizer.Add(self.staticbitmap,2,wx.TOP | wx.RIGHT, border = 40) #30
self.top_sizer.Add(self.lc_change,2,wx.RIGHT|wx.EXPAND ,30)
#Create bottom sizer(For Grid)
self.bottom_sizer = wx.BoxSizer(wx.VERTICAL)
self.bottom_sizer.Add(self.nb,proportion = 5, flag = wx.LEFT |wx.RIGHT | wx.EXPAND,border = 30)
#Create statusbar and progress bar
self.gauge = wx.Gauge(self.p, range = 100, size = (400, 20),style = wx.GA_HORIZONTAL)
#self.gauge = PG.PyGauge(self.p, 0, size=(400, 25), style=wx.GA_HORIZONTAL)
#self.gauge.SetDrawValue(draw=True, drawPercent=True, font=None, colour=wx.BLACK, formatString=None)
#self.gauge.SetBackgroundColour(wx.WHITE)
#self.gauge.SetBorderColor(wx.BLACK)
self.dummylbl = wx.StaticText(self.p,label="",size = (5,20))
self.status_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.status_sizer.Add(self.gauge, 1, wx.ALIGN_CENTER|wx.ALL, 5)
self.status_sizer.Add(self.dummylbl, 0, wx.ALL, 5)
# the layout
self.mainsizer = wx.BoxSizer(wx.VERTICAL)
self.mainsizer.Add(self.top_sizer,proportion = 0, flag = wx.ALL|wx.EXPAND,border = 5)
self.mainsizer.Add(self.bottom_sizer,proportion = 1,flag = wx.ALL|wx.EXPAND,border = 5)
self.mainsizer.Add(self.status_sizer,proportion =0,flag = wx.BOTTOM|wx.ALIGN_CENTER_HORIZONTAL, border = 15)
self.p.SetSizerAndFit(self.mainsizer)
#self.page3.Bind(wx.EVT_LEFT_DCLICK, self.dynamic_tab)
self.gauge.Hide()
self.hideWidgets()
self.onHideCommands(self)
def thread_start(self): #self,event
th = threading.Thread(target=self.populateGrid) #args=(event,), args=(self,)
th.start()
#th.join()
#result_available.wait()
#def status_thread(self): #TRIED FEEDING STATUS BAR HERE
# thr = threading.Thread(target=self.update_statusbar)
# thr.start()
#def update_statusbar(self):
#self.gauge.SetValue((round(i/self.rows)*100))
def hideWidgets(self): #Hide and disable widgets until login
if self.btn_logout.IsShown(): #Initialize and logout
self.btn_logout.Hide()
self.btn_load.Disable()
self.combo_interaction.Enable(False)
self.combo_table.Enable(False)
self.tc_user.Enable()
self.tc_password.Enable()
self.btn_login.Show()
else: #When logged in
self.btn_logout.Show()
self.combo_interaction.Enable(True)
self.combo_table.Enable(True)
self.btn_login.Hide()
self.tc_user.Disable()
self.tc_password.Disable()
def onHideCommands(self, event):
cbval = self.combo_table.GetValue()
if cbval:
self.btn_load.Enable()
self.btn_new.Enable()
else:
self.btn_load.Disable()
self.btn_new.Disable()
def onLogin(self,event):
#Get permissions from SQL table
self.tbl = 'permissions'
self.connect_mysql()
#try:
sql_query = "SELECT * FROM " + self.tbl
try:
self.cursor.execute(sql_query)
num_fields = len(self.cursor.description)
self.df_permissions = pd.read_sql(sql_query, con=self.db_con)
except:
self.stat = "ERROR"
self.msg = "ERROR: Failed to Connect. Check your internet connection and try again."
wx.MessageBox("Failed to Connect. Check your internet connection and try again.", 'CONNECTION ERROR',
wx.OK | wx.ICON_ERROR)
self.updateStatus()
return
if(len(self.tc_user.GetValue()) > 0):
id = str(self.tc_user.GetValue())
base = r'^{}'
expr = '(?:\s|^){}(?:,\s|$)'
try:
u = self.df_permissions[self.df_permissions.iloc[:,0].str.contains(base.format(''.join(expr.format(id))),na = False, case = False)].index.values[0]
#u = ((self.df_permissions[self.df_permissions.iloc[:,0].str.match(self.tc_user.GetValue())].index).values)[0] #,na=False,case=False
pwrd = (self.df_permissions.iloc[u,1])
except:
wx.MessageBox("Access denied. " + id + " is not an authorized user.", 'Access Denied',
wx.OK | wx.ICON_ERROR)
return
#If password is correct, make connection
if(self.tc_password.GetValue() == pwrd):
self.stat = "Successful"
self.msg = "Access Granted."
self.updateStatus()
self.tbl = 'tables'
sql_query = "SELECT * FROM " + self.tbl
self.cursor.execute(sql_query)
self.df_tables = pd.read_sql(sql_query, con=self.db_con)
if str(self.df_permissions.iloc[u,2])=="ALL":
self.interactionlist = self.df_tables['Interaction'].to_list()
self.interaction_filtered = self.df_tables #< For dependent combobox
else:
read_str = str(self.df_permissions.iloc[u,2])
read_str = read_str.replace(", ", ",")
read_tables = list(read_str.split(","))
self.interaction_filtered = self.df_tables[self.df_tables['Table_Name'].isin(read_tables)]
self.interactionlist = self.interaction_filtered['Interaction'].to_list()
#Remove duplicates and create lists for combobox
self.interactionlist = list(OrderedDict.fromkeys(self.interactionlist))
self.combo_interaction.SetItems(self.interactionlist)
self.hideWidgets()
else:
Access Denied." + "\n")
self.stat = "ERROR"
self.msg = "ERROR: Incorrect Password. Access Denied."
self.updateStatus()
else:
self.stat = "ERROR"
self.msg = "ERROR: Username cannot be blank!"
self.updateStatus()
self.buildChangeLog()
self.close_connection()
def onLogout(self,event):
self.hideWidgets()
self.destroy_Widgets()
def updateStatus(self):
#Update listControl
self.lc_change.Append([self.tc_user.GetValue(),self.stat,self.msg, str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")) + "\n"])
if self.lc_change.GetItemCount() > 0:
self.lc_change.EnsureVisible(self.lc_change.GetItemCount() - 1)
#Update Log Grid
if self.stat == "UPDATE" or self.stat == "DELETE" or self.stat == "INSERT":
self.log_grid.AppendRows(numRows = 1, updateLabels = True)
r = self.log_grid.GetNumberRows() -1
self.log_grid.SetCellValue(r,0,self.key_id.replace("'",""))
self.log_grid.SetCellValue(r,1,self.tc_user.GetValue())
self.log_grid.SetCellValue(r,2,self.action) #Action
self.log_grid.SetCellValue(r,3,self.tbl)
self.log_grid.SetCellValue(r,4,self.key_col) #'Column #target_col
self.log_grid.SetCellValue(r,5,self.target_col) #'Old Value
self.log_grid.SetCellValue(r,6,self.oVal.replace("'","")) #'New Value
self.log_grid.SetCellValue(r,7,self.nVal.replace("'","")) #'New Value
self.log_grid.SetCellValue(r,8,str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))) #Timestamp
#Size the grid
self.log_grid.AutoSizeColumns(True)
#Set Font color
#index = self.lc_change.GetItemCount()
#item = self.lc_change.GetItem(index)
#self.lc_change.SetItemTextColour(index,'red')
#self.lc_change.InsertItem(index,item)
#print(index)
def destroy_Widgets(self):
#Destroy grid
self.Freeze()
self.data_grid.Destroy()
#Reset and insert blank grid
self.tbl = "elite_advocacy"
self.connect_mysql()
sql_query = "SELECT * FROM " + self.tbl
self.cursor.execute(sql_query)
num_fields = len(self.cursor.description)
self.df_data = pd.read_sql(sql_query, con=self.db_con)
rows, cols = (int(self.df_data.shape[0]),int(self.df_data.shape[1]))
self.data_grid = gridlib.Grid(self.page1)
self.data_grid.Bind(wx.grid.EVT_GRID_CELL_CHANGED, self.onCellChanged)
self.data_grid.Bind(wx.grid.EVT_GRID_CELL_RIGHT_DCLICK,self.onDeleteRecord)
self.data_grid.Bind(wx.grid.EVT_GRID_CELL_RIGHT_CLICK,self.rightClickMenu)
self.data_grid.CreateGrid(rows,cols)
self.p1_sizer.Insert(1,self.data_grid,1,wx.RIGHT| wx.LEFT| wx.EXPAND, 20)
self.p1_sizer.Layout()
#Clear Rows on log Grid
n = self.log_grid.GetNumberRows()
if n > 0:
self.log_grid.DeleteRows(0,n)
# Clear rows on analyze Grid
n = self.analyze_grid.GetNumberRows()
if n > 0:
self.analyze_grid.DeleteRows(0,n)
#Clear list listCtrl
x = self.lc_change.GetItemCount()
for i in range(x):
self.lc_change.DeleteItem(0)
#Clear textCtrl and ComboBoxes
self.tc_password.SetValue("")
self.tc_user.SetValue("")
self.title.SetLabel("")
self.combo_table.Clear()
self.combo_interaction.Clear()
self.combo_interaction.SetValue("")
self.combo_table.SetValue("")
self.close_connection()
self.Thaw()
def buildChangeLog(self):
self.tbl = 'change_log'
sql_query = "SELECT * FROM " + self.tbl
self.cursor.execute(sql_query)
num_fields = len(self.cursor.description)
#Create Grid Headers
try:
field_names = [i[0] for i in self.cursor.description]
for i,a in enumerate(field_names):
self.log_grid.SetColLabelValue(i,a)
#Size the grid
self.log_grid.AutoSizeColumns(True)
except:
pass
def onComboInteraction(self, event):
self.tables_filtered = self.interaction_filtered[self.interaction_filtered['Interaction'].str.contains(self.combo_interaction.GetValue())]
self.tableslist = self.tables_filtered['Table_Name'].to_list()
self.combo_table.SetItems(self.tableslist)
self.onHideCommands(event)
def dynamic_tab(self, event):
print('dynamic_tab()')
dynamic_page = PageDynamic(self.nb)
self.nb.AddPage(dynamic_page, "Page Dynamic")
def getTable(self):
#Determine SQL table from DataFrame
self.tbl_input = self.combo_table.GetValue()
r = ((self.df_tables[self.df_tables.iloc[:,2].str.contains(self.combo_table.GetValue(),na=False)].index).values)[0]
self.tbl = (self.df_tables.iloc[r,3])
def populateGrid(self):
t0 = time.time()
self.rows, self.cols = (int(self.df_data.shape[0]),int(self.df_data.shape[1]))
for i, seq in enumerate(self.df_data.index):
for j, v in enumerate(self.df_data.columns):
self.data_grid.SetCellValue(i, j, str(self.df_data.iloc[i,j]))
#self.gauge.SetValue(int(round(i/self.rows,2)*100)) #int(percentage*100)
self.gauge.SetValue(0)
self.gauge.Hide()
#Size the grid
self.data_grid.AutoSizeColumns(True)
self.stat = "QUERY"
self.msg = str(self.rows) + " loaded from " + self.tbl
self.updateStatus()
#Set title
self.title.SetLabel(str(self.combo_table.GetValue()))
t1 = time.time()
print(t1-t0)
def onLoadData(self,event):
if self.combo_table.GetValue():
#Establish Connection
self.connect_mysql()
#Get Table
self.getTable()
#self.testFunction()
if self.tbl:
#Get SQL Data
t0 = time.time()
self.gauge.Show()
sql_query = "SELECT * FROM " + self.tbl
self.cursor.execute(sql_query)
num_fields = len(self.cursor.description)
temp = pd.read_sql(sql_query, con=self.db_con)
self.df_data = temp[~pd.isnull(temp).all(1)].fillna('')
pd.set_option('display.max_columns', None)
#Destroy grid and insert new resized grid
rows, cols = (int(self.df_data.shape[0]),int(self.df_data.shape[1]))
self.data_grid.Destroy()
self.data_grid = gridlib.Grid(self.page1)
self.data_grid.Bind(wx.grid.EVT_GRID_CELL_CHANGED, self.onCellChanged)
self.data_grid.Bind(wx.grid.EVT_GRID_CELL_RIGHT_DCLICK,self.onDeleteRecord)
#self.data_grid.Bind(gridlib.EVT_GRID_CELL_RIGHT_CLICK,self.showPopupMenu)
self.data_grid.CreateGrid(rows,cols) #self.data_grid.CreateGrid(219, 16)
self.p1_sizer.Insert(1,self.data_grid,1,wx.RIGHT| wx.LEFT|wx.EXPAND, 20)
self.p1_sizer.Layout()
#Create Grid Headers
field_names = [i[0] for i in self.cursor.description]
for i,a in enumerate(field_names):
self.data_grid.SetColLabelValue(i,a)
self.data_grid.AutoSizeColumns(True)
#Populate Table
#####START THREAD#########
self.thread_start()
else: #self.tbl variable is blank
self.stat = "ERROR"
self.msg = "ERROR: No table exists in mySQL for Table: " + "'" + str(self.combo_table.GetValue()) + "'"
self.updateStatus()
return
else:
self.stat = "ERROR"
self.msg = "ERROR: Table Combobox is empty "
self.updateStatus()
return
def connect_mysql(self):
self.db_name = 'db'
self.server = 'server'
self.user_id = 'user1'
self.pw = 'pwrd'
try:
self.db_con = MySQLdb.connect(user=self.user_id,password=self.pw,database=self.db_name,
host=self.server,charset='utf8',autocommit=True)
self.cursor = self.db_con.cursor()
except:
print("Error connecting")
def close_connection(self):
try:
self.db_con.close()
except:
pass
def onCellChanged(self, evt):
self.connect_mysql()
try:
self.key_id = str("'") + self.data_grid.GetCellValue(evt.GetRow(),0) + str("'")
self.target_col = self.data_grid.GetColLabelValue(evt.GetCol())
self.key_col = self.data_grid.GetColLabelValue(0)
self.nVal = str("'") + self.data_grid.GetCellValue(evt.GetRow(),evt.GetCol()) + str("'")
sql_update = "UPDATE " + self.tbl + " SET " + self.target_col + " = " + self.nVal + " WHERE " + self.key_col + " = " + self.key_id + ""
print(sql_update)
self.cursor.execute(sql_update)
self.stat = "UPDATE"
self.oVal = evt.GetString()
self.action = "UPDATE"
self.msg = "Changed " + str("'") + self.oVal + str("'") + " to " + self.nVal + " for " + self.key_id + " in table: " + str("'") + self.tbl + str("'")
self.updateStatus()
except:
self.stat = "ERROR"
self.msg = "ERROR: Failed to update SQL table. " + "'" + self.tbl + "'"
self.updateStatus()
self.db_con.rollback()
self.close_connection()
def onInsertRecordBelow(self, evt):
self.key_id = str("'") + self.data_grid.GetCellValue(evt.GetRow(),0) + str("'")
self.target_col = "" #self.data_grid.GetColLabelValue(evt.GetCol())
self.key_col = self.data_grid.GetColLabelValue(0)
self.del_row = evt.GetRow()
dlg = wx.TextEntryDialog(self.p,'Enter a new Key ID to insert into the ' + str("'") + self.data_grid.GetColLabelValue(0) + str("'") + ' column.', 'Insert New Record')
#dlg.SetValue("Default")
if dlg.ShowModal() == wx.ID_OK:
#print('You entered: %s\n' % dlg.GetValue())
val = dlg.GetValue()
#Check if it exists in database
self.connect_mysql()
checkRec = ("SELECT " + str(self.key_col) + "," + " COUNT(*) FROM " + str(self.tbl) + " WHERE " + str(self.key_col) + " = " + "'" + str(val)
+ "'" + " GROUP BY " + str(self.key_col) + "")
self.cursor.execute(checkRec)
results = self.cursor.fetchall()
row_count = self.cursor.rowcount
if row_count > 0:
print("Exists")
self.stat = "ERROR"
self.msg = "ERROR: INSERT FAILED. " + "'" +str(val) + "'" + " already exists in table: " + "'" + self.tbl + "'." + " Abort."
self.close_connection()
self.updateStatus()
return
else:
try:
self.connect_mysql()
sql_update = ("INSERT INTO " + str(self.tbl) + "(" + self.key_col + ")" + "VALUES (" + str("'") + str(val) + str("'") + ")")
self.cursor.execute(sql_update)
#Append row to Grid
lRow = int(self.df_data.shape[0])
lCol = int(self.df_data.shape[1])
self.data_grid.InsertRows(lRow,1)
self.data_grid.SetCellValue(lRow, 0, str(val))
#Insert into Dataframe
self.df_data.append(pd.Series(dtype='object'), ignore_index=True)
#Update status
self.key_id = val
self.stat = "INSERT"
self.msg = "INSERTED record " + "'" + str(val) + "'" + " into table: " + "'" + self.tbl + "'"
self.action = "INSERT"
self.nVal = ""
self.oVal = ""
except:
self.db_con.rollback()
self.stat = "ERROR"
self.msg = "ERROR: Failed to INSERT record '" + str(val) + "'into table: " + "'" + self.tbl + "'"
else:
print("ABORTED")
self.close_connection()
self.updateStatus()
dlg.Destroy
def onDeleteRecord(self,evt):
#Connect
self.connect_mysql()
#Delete from mySQL table
try:
self.nVal = ""
sql_delete = "DELETE FROM " + self.tbl + " WHERE " + self.key_col + " = " + self.key_id + ""
print (sql_delete)
self.cursor.execute(sql_delete)
self.db_con.commit()
self.stat = "DELETE"
self.oVal = ""
self.action = "DELETE"
self.msg = "Deleted Record ID: " + self.key_id + " from " + str("'") + self.tbl + str("'")
#Delete from Grid
self.data_grid.DeleteRows(self.del_row,1,True)
except:
self.stat = "ERROR"
self.msg = "ERROR: Failed to Delete record from table: " + "'" + self.tbl + "'"
self.db_con.rollback()
self.close_connection()
self.updateStatus()
if __name__ == "__main__":
app = wx.App(False)
MainFrame(None).Show() # MainFrame().Show()
app.MainLoop()

Why librosa.load() Runs Out of Memory when generating spectrograms?

I am working on classifying sounds with Deep Learning and my problem is that I run out of memory when I try to convert .wav files to spectrograms using lib.load() from librosa.
split = ['train','val']
categories=['URTI', 'Healthy', 'Asthma', 'COPD', 'LRTI', 'Bronchiectasis','Pneumonia', 'Bronchiolitis']
files_loc = "path"
i=0
for s in split:
for cat in categories:
print('-' * 100)
print('working on ' + cat +" "+str(s)+" "+ '...')
print('-' * 100)
files = [f for f in listdir(files_loc + s + '/' + cat + '/') if isfile(join(files_loc + s + '/' + cat + '/', f)) and is_wav(f)]
for f in files:
convert_to_spec_image(file_loc = files_loc, category=cat, filename=f, is_train=(s == 'train'), verbose=False)
i=i+1
print("We have processed: "+str(i)+" "+ str((i/773*100))+" % "+" so far")
The function convert_to_spec_image is this:
#create images using librosa spectogram
def convert_to_spec_image(file_loc, filename, category, is_train=False, verbose=False):
'''
Converts audio file to spec image
Input file includes path
Saves the file to a png image in the save_directory
'''
train_ = 'train/'
val_ = 'val/'
loc = file_loc + train_ + category + '/' + filename
if is_train == False:
loc = file_loc + val_ + category + '/' + filename
if verbose == True:
print('reading and converting ' + filename + '...')
y, sr = lb.load(loc)
#Plot signal in
plt.figure(figsize=(10,3))
src_ft = lb.stft(y)
src_db = lb.amplitude_to_db(abs(src_ft))
specshow(src_db, sr=sr, x_axis='time', y_axis='hz')
plt.ylim(0, 5000)
save_directory = "C:/Users/raulf/Desktop/espectograms2/"
filename_img = filename.split('.wav')[0]
save_loc = save_directory + train_ + category + '/' + filename_img + '.png'
if is_train == False:
save_loc = save_directory + val_ + category + '/' + filename_img + '.png'
plt.savefig(save_loc)
plt.close('all')
if verbose == True:
print(filename + ' converted!')
plt.close('all')
I am trying to reuse the code from this Kaggle Notebook:
https://www.kaggle.com/danaelisanicolas/cnn-part-3-create-spectrogram-images
Thanks in advance

Scipy optimize.minimize with multi- parameters

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import linalg, optimize
%matplotlib inline
Data load
data = pd.read_csv("D:/Stat/TimeSeries/KRW_month_0617_1.csv",index_col="Date") / 100
para = open("D:/Stat/TimeSeries/KRW_month_0617_1.txt").readlines()[0:2]
data.index = pd.to_datetime(data.index)
Parameters
cond = []
params = []
time = []
for i in para:
j = i.split()
for k in j:
cond.append(k)
cond = cond[1:]
for i in range(len(cond)):
cond[i] = round(float(cond[i]),4)
params = cond[0:23]
time = cond[23:]
maturity = np.array(time[1:])
timegap = 1/cond[23]
Functions We need
def Paramcheck(Params, checkStationary = 1):
result = 0
Kappa = np.array([[params[20],0,0], [0,params[21],0], [0,0,params[22]]])
Sigma = np.array([[params[1],0,0], [params[2],params[3],0], [params[4],params[5],params[6]]])
State = np.array([params[7], params[8], params[9]])
Lambda = params[0]
SigmaEps = np.identity(10)
for i in range(10):
SigmaEps[i][i] = params[i+10]
for i in range(len(Sigma)):
if Sigma[i][i] < 0:
result = 1
for j in SigmaEps:
if np.any(SigmaEps) < 0:
result = 1
if Lambda < 0.05 or Lambda > 2:
result = 1
elif State[0] < 0:
result = 1
elif Kappa[0][0] < 0:
result = 1
if result == 0 and checkStationary > 0:
if max(np.linalg.eigvals(-Kappa).real) > 0:
result = 2
return result
def CheckDet(x):
if x == np.inf or x == np.nan:
result = 1
elif x < 0:
result = 2
elif abs(x) < 10**-250:
result = 3
else:
result = 0
return result
def NS_factor(lambda_val, maturity):
col1 = np.ones(len(maturity))
col2 = (1 - np.exp(-lambda_val*maturity))/(lambda_val*maturity)
col3 = col2 - np.exp(-lambda_val*maturity)
factor = np.array([col1,col2,col3]).transpose()
return factor
def DNS_Kalman_filter(Params, *args):
N = Paramcheck(Params)
if N == 0:
Kappa = np.array([[params[20],0,0], [0,params[21],0], [0,0,params[22]]])
Sigma = np.array([[params[1],0,0], [params[2],params[3],0],
[params[4],params[5],params[6]]])
State = np.array([params[7], params[8], params[9]])
Lambda = params[0]
SigmaEps = np.identity(10)
for i in range(10):
SigmaEps[i][i] = params[i+10]
Obs_Yield = args[0]
Obs_Date = args[1]
Timegap = args[2]
Obs_Mty = args[3]
Finalstate = args[4]
Mty_length = len(Obs_Mty)
B = NS_factor(lambda_val = Lambda,maturity = Obs_Mty)
H_large = SigmaEps **2
N_obs = len(Obs_Date)
LLH_vec = np.zeros(N_obs)
phi1 = linalg.expm(-Kappa*Timegap)
phi0 = (np.identity(3)-phi1) # State
Eigenvalues = np.linalg.eig(Kappa)[0]
Eigen_vec = np.linalg.eig(Kappa)[1]
Eigen_vec_inv = np.linalg.inv(Eigen_vec)
S = Eigen_vec_inv # Sigma # Sigma.transpose() # Eigen_vec_inv.transpose()
Atilde = np.dot(Sigma[0], Sigma[0])
Btilde = np.dot(Sigma[1], Sigma[1])
Ctilde = np.dot(Sigma[2], Sigma[2])
Dtilde = np.dot(Sigma[0], Sigma[1])
Etilde = np.dot(Sigma[0], Sigma[2])
Ftilde = np.dot(Sigma[1], Sigma[2])
res1= Atilde* Obs_Mty* Obs_Mty/6
res2= Btilde*(1/(2*Lambda**2) - (1-np.exp(-Lambda*Obs_Mty))/(Lambda**3*Obs_Mty) + (1-
np.exp(-2*Lambda*Obs_Mty))/(4*Lambda**3*Obs_Mty))
res3= Ctilde*(1/(2*Lambda**2) + np.exp(-Lambda*Obs_Mty)/(Lambda**2)-
Obs_Mty*np.exp(-2*Lambda*Obs_Mty)/(4*Lambda) -
3*np.exp(-2*Lambda*Obs_Mty)/(4*Lambda**2) - 2*(1-np.exp(-
Lambda*Obs_Mty))/(Lambda**3*Obs_Mty) + 5*(1-
np.exp(-2*Lambda*Obs_Mty))/(8*Lambda**3*Obs_Mty))
res4= Dtilde*(Obs_Mty/(2*Lambda) + np.exp(-Lambda*Obs_Mty)/(Lambda**2) - (1-np.exp(-
Lambda*Obs_Mty))/(Lambda**3*Obs_Mty))
res5= Etilde*(3*np.exp(-Lambda*Obs_Mty)/(Lambda**2) + Obs_Mty/(2*Lambda)+Obs_Mty*np.exp(-
Lambda*Obs_Mty)/(Lambda) - 3*(1-np.exp(-Lambda*Obs_Mty))/(Lambda**3*Obs_Mty))
res6= Ftilde*(1/(Lambda**2) + np.exp(-Lambda*Obs_Mty)/(Lambda**2) -
np.exp(-2*Lambda*Obs_Mty)/(2*Lambda**2) - 3*(1-np.exp(-
Lambda*Obs_Mty))/(Lambda**3*Obs_Mty) + 3*(1-
np.exp(-2*Lambda*Obs_Mty))/(4*Lambda**3*Obs_Mty))
val = res1 + res2 + res3 + res4 + res5 + res6
V_mat = np.zeros([3,3])
V_lim = np.zeros([3,3])
for i in range(3):
for j in range(3):
V_mat[i][j] = S[i][j]*(1-np.exp(-(Eigenvalues[i] +
Eigenvalues[j])*Timegap))/(Eigenvalues[i] + Eigenvalues[j])
V_lim[i][j] = S[i][j]/(Eigenvalues[i] + Eigenvalues[j])
Q = (Eigen_vec # V_mat # Eigen_vec.transpose()).real
Sigma_lim = (Eigen_vec # V_lim # Eigen_vec.transpose()).real
for i in range(N_obs):
y = Obs_Yield[i]
xhat = phi0 + phi1 # State
y_implied = B # xhat
v = y - y_implied + val
Sigmahat = phi1 # Sigma_lim # phi1.transpose() + Q
F = B # Sigmahat # B.transpose() + H_large
detF = np.linalg.det(F)
if CheckDet(detF) > 0:
N = 3
break
Finv = np.linalg.inv(F)
State = xhat + Sigmahat # B.transpose() # Finv # v
Sigma_lim = Sigmahat - Sigmahat # B.transpose() # Finv # B # Sigmahat
LLH_vec[i] = np.log(detF) + v.transpose() # Finv # v
if N == 0:
if Finalstate:
yDate = Obs_Date[-1]
result = np.array([yDate,State])
else:
result = 0.5 * (sum(LLH_vec) + Mty_length*N_obs*np.log(2*np.pi))
else:
result = 7000000
return result
I made a code that does Arbitrage Free Nelson-Siegel model. Data is return rates of bond (1Y,1.5Y, ... ,20Y). I wanna optimize that function with scipy optimize.minimize function with fixed *args.
Suppose that Initial parmas are verified that it's close to optimized params from empirical experiments using Dynamic Nelson-Siegel Model.
LLC_new = 0
while True:
LLC_old = LLC_new
OPT = optimize.minimize(x0=params,fun=DNS_Kalman_filter, args=
(data.values,data.index,timegap,maturity,0))
params = OPT.x
LLC_new = round(OPT.fun,5)
print("Current LLC: %0.5f" %LLC_new)
if LLC_old == LLC_new:
OPT_para = params
FinalState = DNS_Kalman_filter(params,data.values,data.index,timegap,maturity,True)
break
Result is
Current LLC: -7613.70146
Current LLC: -7613.70146
LLC(log-likelihood value) isn't maximized. It's not a result I desire using Optimizer.
Is there any solution for that?
In R, there is optim() function works as similar as scipy.optimize.minimize() which works really well. I also have a R code for that very similar to this Python code.

Why is this now giving me an UnboundedLocalError?

This was working and now has stopped and is giving me an error I can't see what's wrong with it?
def grade(R):
x = str(R)
if 'Practitioner' in x:
y = x.replace('Practitioner', ' ')
elif 'P' in x:
y = x.replace('P', ' ')
elif 'p' in x:
y = x.replace('p', ' ')
elif 'Graduate' in x:
y = x.replace('Graduate', ' ')
elif 'G' in x:
y =x.replace('G', ' ')
elif 'g' in x:
y = x.replace('g', ' ')
y = int(y)
g = inf.number_to_words(y)
return (g)
Full Script
import datetime
import os
from random import choice
from string import digits
import subprocess
import inflect
import pandas as pd
import reportlab
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.pdfgen import canvas
# import xlrd
from reportlab.lib.units import mm
# set inflect
inf = inflect.engine()
# set fonts
folder = os.path.dirname(reportlab.__file__) + os.sep + 'fonts'
ttfFile_b = os.path.join(folder, 'VeraBd.ttf')
ttfFile_r = os.path.join(folder, 'Vera.ttf')
pdfmetrics.registerFont(TTFont("VeraBd", ttfFile_b))
pdfmetrics.registerFont(TTFont("Vera", ttfFile_r))
# Set date usage stuff
w = datetime.datetime.now()
d = datetime.date.today()
m = d.month
y = d.year + 1
p = str(w.hour) + '-' + str(w.minute) + '_' + str(w.second)
end_date = str(m) + '/' + str(y)
def grade(R):
x = str(R)
if 'Practitioner' in x:
y = x.replace('Practitioner', ' ')
elif 'P' in x:
y = x.replace('P', ' ')
elif 'p' in x:
y = x.replace('p', ' ')
elif 'Graduate' in x:
y = x.replace('Graduate', ' ')
elif 'G' in x:
y =x.replace('G', ' ')
elif 'g' in x:
y = x.replace('g', ' ')
y = int(y)
g = inf.number_to_words(y)
return (g)
def level(R):
x = str(R)
y = x.replace('Practitioner', ' ')
int(y)
g = inf.number_to_words(y)
return (g)
# Routine to get location
def location(L):
x = str(L)
if 'London' in x:
l = str("London")
elif 'Stratford' in x:
l = str("Stratford Upon Avon")
elif 'Bristol' in x:
l = str("Bristol")
elif 'Penrith' in x:
l = str("Penrith")
else:
l = str("United Kingdom")
return (l)
# Get date
def when(D):
dt = D.strftime('%d %B %Y')
d = str(dt)
return (d)
# get random diploma number
def dip():
x = ''.join(choice(digits) for i in range(6))
k = str(x)
return (k)
def p_certs(df):
# set PDF file name and canvas size
# file_location = 'C:\Users\Suely\Desktop\Ouput_PDF\'
# Set date usage stuff
w = datetime.datetime.now()
d = datetime.date.today()
m = d.month
y = d.year + 1
p = str(w.hour) + '-' + str(w.minute) + '_' + str(w.second)
# end_date = str(m) + '/' + str(y)
file_name = 'CERTIFICATES_' + str(d) + '_' + str(p) + '.pdf'
c = canvas.Canvas(file_name, pagesize=(210 * mm, 297 * mm))
# 1mm = 0.35277777 pt
# draw each page
for index, row in df.iterrows():
# D = str(row['Date'])
# R = row['Grading Level (National Grading)']
# L = row['Select Grading Event']
# g = location(L)
# A = row['Grading Committee']
# I = row['Instructor']
g = row['Location']
fn = str.strip(row['First Name'])
ln = str.strip(row['Last Name'])
f = row['Grade']
# r = row['Grade']
r = grade(f)
# d = str('11 August 2018')
# d = when(D)
d = str(row['Date'])
N = fn + ' ' + ln
# N = row['First Name'] + ' ' + row['Last Name']
# N = row['First Name'] + row['Last Name']
k = dip()
#k2 = str('KMG-UK -') + str(k)
k2 = row['Diploma Number']
# Draw Name
c.setFont('VeraBd', 24, leading=None)
c.drawCentredString(297.63786, 160 * mm, str.title(N))
# Draw Grade
c.setFont('VeraBd', 18, leading=None)
c.drawCentredString(110 * mm, 130 * mm, str.upper(r))
# Draw Place
c.setFont('VeraBd', 14, leading=None)
# c.drawCentredString(297.63786, 261.8581643, str.title(g))
c.drawCentredString(105 * mm, 91 * mm, str.upper(g))
# Draw Date
c.setFont('VeraBd', 14, leading=None)
# c.drawCentredString(297.63786, 236.3463527, str.title(d))
c.drawCentredString(105 * mm, 81 * mm, str(d))
# Draw Diploma number
c.setFont('VeraBd', 11, leading=None)
c.drawCentredString(105 * mm, 71 * mm, str.upper(k2))
c.showPage()
# Draw Administration & Instructor
# c.setFont('VeraBd', 12, leading=None)
# c.drawCentredString(60*mm, 25*mm, str.upper(I))
# c.setFont('VeraBd', 12, leading=None)
# c.drawCentredString(105*mm, 25*mm, str.upper(A))
c.save()
subprocess.Popen([file_name], shell=True)
# set data file
data_location = '007. P1_P2 Data Sheet.csv'
file_name2 = '007. P1_P2 Data Sheet.xlsx'
# read dataframe
df = pd.read_csv(data_location, encoding='latin1', na_values=['nan'], keep_default_na=False)
# df = pd.read_excel(file_name2, 'Sheet1', index_col=None, na_values=['NA'])
p_certs(df)
The Error
C:\Users\James\AppData\Local\Programs\Python\Python37\python.exe "D:/Dropbox/Dropbox/00000001 Licence Print/P certs/002 P1 Certificates/Certificatea.py"
Traceback (most recent call last):
File "D:/Dropbox/Dropbox/00000001 Licence Print/P certs/002 P1 Certificates/Certificatea.py", line 179, in
p_certs(df)
File "D:/Dropbox/Dropbox/00000001 Licence Print/P certs/002 P1 Certificates/Certificatea.py", line 127, in p_certs
r = grade(f)
File "D:/Dropbox/Dropbox/00000001 Licence Print/P certs/002 P1 Certificates/Certificatea.py", line 50, in grade
y = int(y)
UnboundLocalError: local variable 'y' referenced before assignment
Process finished with exit code 1
Your local variable y would not be initialized before its usage in the statement y = int(y) if none of the if and elif conditions before it are met.
You can assign to y a default value in an else clause instead:
def grade(R):
x = str(R)
if 'Practitioner' in x:
y = x.replace('Practitioner', ' ')
elif 'P' in x:
y = x.replace('P', ' ')
elif 'p' in x:
y = x.replace('p', ' ')
elif 'Graduate' in x:
y = x.replace('Graduate', ' ')
elif 'G' in x:
y =x.replace('G', ' ')
elif 'g' in x:
y = x.replace('g', ' ')
else:
y = '0'
y = int(y)
g = inf.number_to_words(y)
return (g)
Or you can try fixing your input data to ensure that the argument R would always result in satisfying one of the conditions in the if and elif clauses.

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