What I'm trying to do:
I'm using Python to populate data to an existing Excel file.
What works:
My code below is successful in exporting the table to Excel file "Futures.xls".
What doesn't work:
The code below extracts table from website and exports to Futures excel file ( 100 Rows )The subsequent code re-opens Futures file and appends to Futures1 excel file ( 200 Rows ). However, if I continue to the run the subsequent code multiple times I cannot get more than 200 rows like 300 rows and so on as an when I run the code. Can someone tell me the issue?
My code:
from urllib.request import urlopen
from bs4 import BeautifulSoup
import requests
import pandas as pd
from pandas import ExcelWriter
from pandas import ExcelFile
import os
url = "https://quotes.ino.com/exchanges/contracts.html?r=NYMEX_NG"
res = requests.get(url)
soup = BeautifulSoup(res.text, 'lxml')
Markets = []
Contracts =[]
Opens =[]
Highs =[]
Lows =[]
Lasts=[]
Changes=[]
Pcts=[]
data_rows = soup.findAll('tr')[3:]
for td in data_rows[:100]:
Market = td.findAll ('td')[0].text
Markets.append(Market)
Contract = td.findAll('td')[1].text
Contracts.append(Contract)
Open = td.findAll('td')[2].text
Opens.append(Open)
High = td.findAll('td')[3].text
Highs.append(High)
Low = td.findAll('td')[4].text
Lows.append(Low)
Last = td.findAll('td')[5].text
Lasts.append(Last)
Change = td.findAll('td')[6].text
Changes.append(Change)
Pct = td.findAll('td')[7].text
Pcts.append(Pct)
Time = td.findAll('td')[8].text
df = pd.DataFrame({'Contracts' :Contracts, 'Markets':Market,'Open':Opens, 'High':Highs, 'Low':Lows,'Last':Lasts,'Pct':Pcts})
out_path = "C:\Sid\Futures.xls"
writer = pd.ExcelWriter(out_path , engine='xlsxwriter')
df.to_excel(writer,'Sheet2',index=False)
writer.save()
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
wb = load_workbook("C:\Sid\Futures.xlsx")
ws = wb['Sheet2']
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
wb = load_workbook("C:\Sid\Futures.xlsx")
ws = wb['Sheet2']
for row in dataframe_to_rows(df, header=None, index = True):
ws.append(row)
wb.save('C:\Sid\Futures1.xlsx')
Additional:
Also, what code do I need so that my python runs automatically when my website updates? Prices change every 15 minutes.