keyapi

## retry.py
from functools import wraps
import time
import logging
import random

logger = logging.getLogger(__name__)


def retry(exceptions, total_tries=4, initial_wait=0.5, backoff_factor=2, logger=None):
    """

## common_pandas_errors.ipynb

      
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                keyapi
                / common_pandas_errors.ipynb
            
            
              Created
              February 24, 2020 09:37
                — forked from discdiver/common_pandas_errors.md
            
              
                Common Pandas Errors
              
          
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## google_sheets_from_heroku.py
import os
import json
import gspread
from oauth2client.service_account import ServiceAccountCredentials

# based on https://www.twilio.com/blog/2017/02/an-easy-way-to-read-and-write-to-a-google-spreadsheet-in-python.html
# read that file for how to generate the creds and how to use gspread to read and write to the spreadsheet

# use creds to create a client to interact with the Google Drive API
scopes = ['https://spreadsheets.google.com/feeds']

## vec_func
def soc_iter(TEAM,home,away,ftr):
    df['Draws'] = 'No_Game'
    df.loc[((home == TEAM) & (ftr == 'D')) | ((away == TEAM) & (ftr == 'D')), 'Draws'] = 'Draw'
    df.loc[((home == TEAM) & (ftr != 'D')) | ((away == TEAM) & (ftr != 'D')), 'Draws'] = 'No_Draw'
	from functools import wraps
	import time
	import logging
	import random

	logger = logging.getLogger(__name__)


	def retry(exceptions, total_tries=4, initial_wait=0.5, backoff_factor=2, logger=None):
	"""
	import os
	import json
	import gspread
	from oauth2client.service_account import ServiceAccountCredentials

	# based on https://www.twilio.com/blog/2017/02/an-easy-way-to-read-and-write-to-a-google-spreadsheet-in-python.html
	# read that file for how to generate the creds and how to use gspread to read and write to the spreadsheet

	# use creds to create a client to interact with the Google Drive API
	scopes = ['https://spreadsheets.google.com/feeds']
	def soc_iter(TEAM,home,away,ftr):
	df['Draws'] = 'No_Game'
	df.loc[((home == TEAM) & (ftr == 'D')) \| ((away == TEAM) & (ftr == 'D')), 'Draws'] = 'Draw'
	df.loc[((home == TEAM) & (ftr != 'D')) \| ((away == TEAM) & (ftr != 'D')), 'Draws'] = 'No_Draw'