jbarton311

from matplotlib import pyplot as plt
plt.style.use("fivethirtyeight")

COLORS = ['#456789', '#894567', '#678945', '#3B3D4B', '#FF8181']

# Create data
x4 = ['$50K (Median Salary)', '$1 Million', '$1 Billion']
y4 = [50000, 1000000, 1000000000]

# Create a figure and axis

jbarton311

import pandas as pd

# Started by Googling "World Golf Rankings"
# Clicked on 1st site I found
# Needed to expand the ranking table to "all"
data = pd.read_html('http://www.owgr.com/ranking?pageNo=1&pageSize=All&country=All')

# pd.read_html will return a list of data frames
# usually you need to go through this list to find the data
# you are looking for

jbarton311

import requests
import os
from bs4 import BeautifulSoup

# The below gist is where this file lives
#https://gist.github.com/jbarton311/df1f5e876ff97eb848a41edcbdcb5e6c
import spotify_pulls as sp

# Local file that contains API keys and secrets
from config import Config

jbarton311

import requests
import os
import logging

# Local file that contains API keys and secrets
from config import Config

# create logger
logger = logging.getLogger(__file__)
logger.setLevel(logging.DEBUG)