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- import pandas as pd
- import numpy as np
- class StockPrices:
- def most_corr(prices):
- return None
- #For example, with the parameters below the function should return ['FB', 'MSFT'].
- prices = {
- 'GOOG' : [
- 742.66, 738.40, 738.22, 741.16,
- 739.98, 747.28, 746.22, 741.80,
- 745.33, 741.29, 742.83, 750.50
- ],
- 'FB' : [
- 108.40, 107.92, 109.64, 112.22,
- 109.57, 113.82, 114.03, 112.24,
- 114.68, 112.92, 113.28, 115.40
- ],
- 'MSFT' : [
- 55.40, 54.63, 54.98, 55.88,
- 54.12, 59.16, 58.14, 55.97,
- 61.20, 57.14, 56.62, 59.25
- ],
- 'AAPL' : [
- 106.00, 104.66, 104.87, 105.69,
- 104.22, 110.16, 109.84, 108.86,
- 110.14, 107.66, 108.08, 109.90
- ]
- }
- print(Max StockPrices.most_corr(prices))
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