def createTableFrame():
#Your csv file can contain as many rows and colums as needed
f = open("films.csv")
#note here I have sent it root but you can also send it a frame
newtable = cst(f, tableFrame)
newtable.grid()
Button(tableFrame, text="Hide Me", command=hideTableFrame).grid()
def tableNQS2():
# Your csv file can contain as many rows and colums as needed
f = open("Extras.csv")
# note here I have sent it root but you can also send it a frame
try:
self.newtable2 = cst(f, tableFrameNQS2)
self.newtable2.grid()
except StopIteration:
return
def create_table_frame():
"""
the descriptive statistics are displayed in a new frame
by reading the stats stored in imported_data.csv
[imported_data.csv is stored after importing training data]
"""
f = open("imported_data.csv")
window = tkinter.Tk()
window.wm_title("Feature Statistics")
#window.geometry("500x500")
tableFrame = tkinter.Frame(window)
newtable = cst(f, tableFrame)
newtable.grid()
tkinter.Button(
tableFrame,
text="Close",
command=lambda: hide_table_frame(tableFrame, window)).grid()
tableFrame.grid()
from tkinter import *
import csv
from tables import createStandardTable as cst
window = Tk()
#Your file can contain any number of rows and columns so long as they
#are even of course. Make sure you rename the films to the name of your file
f = open("films.csv")
#note here I have sent it root but you can also send it a frame
#see using tables with frames
#It actually returns a frame that will be placed on the window or frame
#you send
newtable = cst(f, window)
newtable.grid()
toCity = StringVar()
departDate = StringVar()
departMonth = StringVar()
# Declaring the title
for the window
window.title('Web Mining - WEB SCRAPING FOR MAKE-MY-TRIP and PAYTM')
def tableFrames():
tableFrame3.grid()
tableFrame2.grid()
tableFrame.grid()
# create a global newtable grid.
f = open("my_csv.csv")
newtable = cst(f, tableFrame)
def createTableFrame():
f = open("sort_durationDec.csv")
global newtable
newtable = cst(f, tableFrame)
newtable.grid()
def Header():
f = open("my_csv.csv")
global newtable
newtable = cst(f, tableFrame)
newtable.grid()
def createTableFrame2():
f = open("my_csv.csv")
def createTableFrame():
f = open("list.csv")
global newtable
newtable = cst(f, f3)
newtable.grid(padx=20, pady=20)
newlist[j][0] = y[x.index(cof)]
newlist[j][2] = y[j]
newlist[j][3] = x[j]
newlist[j][4] = c.convert(coi, cof, x[j])
my_df1 = pd.DataFrame(newlist)
my_df1.columns = [
'FROM COUNTRY', 'FROM COUNTRY CODE', 'TO COUNTRY', 'TO COUNTRY CODE',
'VALUE'
]
my_df1.to_csv('list.csv', index=False, header=True)
ct()
f = open("list.csv")
newtable = cst(f, f3)
def createTableFrame():
f = open("list.csv")
global newtable
newtable = cst(f, f3)
newtable.grid(padx=20, pady=20)
def ct():
global newtable
newtable.destroy()
createTableFrame()
def createTableFrame5():
f = open("sort_durationInc.csv")
global newtable
newtable = cst(f, tableFrame)
newtable.grid()
def createTableFrame4():
f = open("priceSortDecrease.csv")
global newtable
newtable = cst(f, tableFrame)
newtable.grid()
def createTableFrame2():
f = open("my_csv.csv")
global newtable
newtable = cst(f, tableFrame)
newtable.grid()
def Header():
f = open("my_csv.csv")
global newtable
newtable = cst(f, tableFrame)
newtable.grid()
