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#pip install EIA-python | |
#pip install networkx | |
import numpy as np | |
import pandas as pd | |
import eia | |
import networkx as nx | |
import matplotlib.pyplot as plt | |
#Get API key from EIA website and pass into eia.API() method | |
apiKey = "5f54b3e66477e22ec068066b1de8026d" |
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import scrapy | |
import pandas | |
from ..items import YahooItem | |
class YahooSpider(scrapy.Spider): | |
name = 'Yahoo' | |
symbols = ["ADSK","BA","CAT","EBAY","GS","HSY","IBM","JPM","WMT","SHOP", | |
"T", "F", "TRI", "AMZN", "C", "A", "O", "B","MSFT", "NVDA", | |
"DIS", "AAL", "NFLX", "JNJ","BAC","GOOGL", "WFC"] | |
start_urls = ['https://finance.yahoo.com/quote/{0}/history?p={0}'.format(x) for x in symbols] |
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from datetime import datetime, timedelta | |
import time, requests, pandas, lxml | |
from lxml import html | |
def format_date(date_datetime): | |
date_timetuple = date_datetime.timetuple() | |
date_mktime = time.mktime(date_timetuple) | |
date_int = int(date_mktime) | |
date_str = str(date_int) | |
return date_str |
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import pandas as pd | |
import numpy as np | |
from bs4 import BeautifulSoup | |
import requests, lxml | |
from lxml import html | |
class statistics: |