mberrien-fitzsimons

# Add days of the week 
msft_proc['day_of_week'] = msft_proc['timestamp'].dt.day_name()

# create dummy variables
dummies = pd.get_dummies(msft_proc['day_of_week'])

# drop original days of the week column from the original dataframe
msft_proc.drop(columns=['day_of_week'], inplace=True)

# add two dataframes together

mberrien-fitzsimons

# import data from '01_raw' data folder into the processing notebook
msft_proc = pd.read_csv('../data/01_raw/msft_raw.csv', parse_dates=['timestamp'])

# Let's take a look at our dataset
msft_proc.head()

mberrien-fitzsimons

# this blog of code allows me to import my secrets file from the conf folder in my 
# current jupyter notebook
root_dir = os.path.join(os.getcwd(), '..')
sys.path.append(root_dir)

from conf import secrets

# Download data as CSV from API 
function = 'TIME_SERIES_DAILY_ADJUSTED'
symbol = 'MSFT'

mberrien-fitzsimons

# read in libraries 
import os
import sys
import pandas as pd
import requests

from iexfinance.stocks import Stock 
from iexfinance.refdata import get_symbols

root_dir = os.path.join(os.getcwd(), '..')

mberrien-fitzsimons

family_members = ['Misha', 'Kisha', 'Drew']
family_member.lower()