A closer look at the sectors

Introduction to Python for Finance

Adina Howe

Instructor

Your mission

NumPy arrays of data describing the S&P 100: names, prices, earnings, sectors

Explore and analyze sector-specific P/E ratios within companies of the S&P 100

stock_prices = np.array([100, 200, 300])
filter_array = (stock_prices >= 150)
print(filter_array)

[ False True  True]

stock_prices = np.array([100, 200, 300])
filter_array = (stock_prices >= 150)
print(stock_prices[filter_array])

[200 300]

Calculate the average and standard deviation of these sector-specific P/E ratios

import numpy as np
average_value = np.mean(my_array)
std_value = np.std(my_array)

Introduction to Python for Finance