In this challenge, you are given a table of closing stock prices for 10 different stocks with data going back as far as 1999. For each stock, calculate the interquartile range (IQR). Return a DataFrame that satisfies the following conditions:
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import pandas as pd
stocks = pd.read_csv('../data/stocks10.csv', index_col='date', parse_dates=['date'])
There is a straightforward solution that completes this challenge in a single line of readable code. Can you find it?
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