Ok,
You need to learn how to read the error traceback.
It pointed directly to the error.
win was not defined in the method run as it was out of scope.
in order to make it work, you need to save win from the __init__ attributes to a variable that run can see,
thus in the code below:
self.win = win
and also refer to it as self.win in the methods that use it.
new code still doesn't run to finish, but has gotten past the error you were receiving:
import wx
import wx.grid
import pandas as pd
import googlefinance.client as gf
from threading import *
class RunThread(Thread):
def __init__(self, event, win):
self.win=win
Thread.__init__(self)
self.stopped = event
self.start()
def run(self):
print('Loading 0,0 ..')
self.win.Update_5M(0, 0)
while True:
print('Loading 1,12 ..')
self.win.Update_5M(1, 12)
self.stopped.wait(20)
class Frame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, None, title="Thread Crash", size=(530, 742), pos=(500, 100))
wx.Panel(self)
sizer = wx.BoxSizer(wx.VERTICAL)
self.SetSizer(sizer)
self.grid = self.Create_Grid()
stopFlag = Event()
RunThread(stopFlag, self)
def Update_5M(self, n, m):
self.dfg, self.dfr = self.Load_Data_Frame(n)
self.Update_Grid(self.dfr, self.grid, 'red', m)
self.Update_Grid(self.dfg, self.grid, 'green', m)
def Create_Grid(self):
self.colno = 11
self.colsz = [43, 40, 22, 40, 44, 60, 40, 40, 40, 40, 40]
grid = wx.grid.Grid(self, size=(522, 700), pos=(0, 0))
grid.CreateGrid(1, 11)
grid.SetRowLabelSize(60)
grid.SetLabelFont(wx.Font(8, wx.DEFAULT, wx.NORMAL, wx.NORMAL))
grid.SetDefaultCellAlignment(wx.ALIGN_RIGHT, wx.ALIGN_CENTRE)
for col in range(self.colno):
grid.SetColSize(col, self.colsz[col])
return grid
def Update_Grid(self, df_head, grid, gor, n):
cols = grid.GetNumberCols()
rows = grid.GetNumberRows()
rl =
for r in range(rows): rl.append(grid.GetRowLabelValue(r + n))
for row in range(len(df_head.index)):
r = row + n
grid.InsertRows(r, 1, False)
param = {'q': df_head.values[row, 0], 'i': "86400", 'x': "TSE", 'p': "5d"}
df = gf.get_price_data(param).tail(1)
o = 0
if len(df) < 1:
grid.DeleteRows(r, 1, False)
r -= 1
o += 1
continue
PP = (df.values[0, 1] + df.values[0, 2] + df.values[0, 3]) / 3
for col in range(self.colno):
if col != 2:
if n == 0:
if gor == 'green': grid.SetCellBackgroundColour(r, col, wx.Colour(row * 50, 200, row * 40))
if gor == 'red': grid.SetCellBackgroundColour(r, col, wx.Colour(200, row * 50, row * 40))
else:
if gor == 'green': grid.SetCellBackgroundColour(r, col, wx.Colour(row * 50, 255, row * 40))
if gor == 'red': grid.SetCellBackgroundColour(r, col, wx.Colour(255, row * 50, row * 40))
if col == 2:
d = ('%.0f' % df_head.values[row, col])
elif col == 0:
d = df_head.values[row, col]
elif col == 5:
d = format(df_head.values[row, col], "8,d")
elif col < 6:
d = ('%.2f' % df_head.values[row, col])
elif col == 6:
d = '%.2f' % (PP + df.values[0, 1] - df.values[0, 2])
elif col == 7:
d = '%.2f' % (PP * 2 - df.values[0, 2])
elif col == 8:
d = '%.2f' % PP
elif col == 9:
d = '%.2f' % (PP * 2 - df.values[0, 1])
elif col == 10:
d = '%.2f' % (PP - df.values[0, 1] + df.values[0, 2])
grid.SetCellValue(r, col, d)
for r in range(len(rl)): grid.SetRowLabelValue(r + n + 6 - o, rl[r])
def Load_Data_Frame(self, n):
df_all =
p = [['86400', '3M'], ['300', '2d']]
symb = pd.DataFrame(pd.read_csv('TSE.csv'))
for s in symb['Symbol']:
param = {'q': s, 'i': p[n][0], 'x': "TSE", 'p': p[n][1]}
df = gf.get_price_data(param)
df['T'] = s
df['HiLo'] = 100 * (df['Close'] - df['Open']) / df['Open']
df['GoR'] = df['Close'] > df['Open']
df_all.append(df)
dfg = pd.DataFrame()
dfr = pd.DataFrame()
num = len(df_all)
for s in range(num):
i = len(df_all[s].index) - 1
if i < 10: continue
nGreen, nRed, vGreen, vRed = 0, 0, 0, 0
hGreen, hRed, iGreen, iRed = 0, 0, True, True
while iGreen or iRed:
if iGreen:
if df_all[s].values[i, 7]:
nGreen += 1
if hGreen < df_all[s].values[i, 6]:
hGreen = df_all[s].values[i, 6]
else:
iGreen = False
if iRed:
if not df_all[s].values[i, 7]:
nRed += 1
if hRed > df_all[s].values[i, 6]:
hRed = df_all[s].values[i, 6]
else:
iRed = False
i -= 1
if i < 0: break
vAvg20 = pd.Series(df_all[s]['Volume']).rolling(window=20).mean()
df_all[s]['U'] = round(hGreen, 2)
df_all[s]['D'] = round(-hRed, 2)
df_all[s]['gBars'] = int(nGreen)
df_all[s]['rBars'] = int(nRed)
df_all[s]['Vg'] = vGreen / vAvg20
df_all[s]['Vr'] = vRed / vAvg20
dUp = df_all[s][['T', 'Close', 'gBars', 'U', 'Vg', 'Volume']]
dDn = df_all[s][['T', 'Close', 'rBars', 'D', 'Vr', 'Volume']]
if dfg.empty:
dfg = dUp.tail(1)
else:
dfg = dfg.append(dUp.tail(1))
if dfr.empty:
dfr = dDn.tail(1)
else:
dfr = dfr.append(dDn.tail(1))
dfg6 = dfg.sort_values('gBars', ascending=False).head(6)
dfr6 = dfr.sort_values('rBars', ascending=False).head(6)
return dfg6, dfr6
if __name__ == "__main__":
app = wx.App()
win = Frame()
win.Show()
app.MainLoop()try your best to finish, and come back if you get stuck.[/s][/s][/s][/s][/s][/s][/s][/s][/s][/s][/s][/s][/s][/s][/s][/s]