Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- from datetime import datetime
- import numpy as np
- import pandas as pd
- from pandas import ExcelWriter
- from tabulate import tabulate
- from openpyxl import load_workbook
- # Setting PD option to view
- pd.set_option('display.max_rows', 30000)
- pd.set_option('display.max_columns', 500)
- pd.set_option('display.width', 1000)
- start = datetime.now()
- # path = r"C:\Users\harsh\Google Drive\Oddsportal\Files\Oddsportal Data\Historical Worksheet\data.xlsx"
- #
- # book = load_workbook(path)
- # writer = pd.ExcelWriter(path, engine='openpyxl')
- # writer.book = book
- df = pd.read_excel(r"C:\Users\harsh\Google Drive\Oddsportal\Files\Oddsportal "
- r"Data\Historical Worksheet\data.xlsx", sheet_name='upcoming_archive')
- df['run_time'] = start
- print(df)
- df1 = pd.read_csv(r"C:\Users\harsh\Google Drive\Oddsportal\Files\Oddsportal "
- r"Data\Pre-processed\oddsportal_upcoming_matches.csv")
- df1['run_time'] = start
- print(df.head())
- concat = [df, df1]
- df_c = pd.concat(concat)
- path = r"C:\Users\harsh\Google Drive\Oddsportal\Files\Oddsportal Data\Historical Worksheet\data.xlsx"
- writer = df_c.ExcelWriter(r"C:\Users\harsh\Google Drive\Oddsportal\Files\Oddsportal Data\Historical Worksheet\data.xlsx", sheetname = 'upcoming_archive',
- mode='a', engine='openpyxl')
- # print(df1)
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement