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Filtering stock data.

For this exercise you will be filtering Alphabet stock data, once again working with a DataFrame alphabet. The head of the DataFrame looks like this:

close volume open high low
date
2019-08-02 1196.32 1745450 1203.00 1209.500 1190.00
2019-08-01 1211.78 1771271 1217.63 1236.298 1207.00
2019-07-31 1218.20 1997999 1224.87 1234.910 1208.18
2019-07-30 1228.00 1430775 1227.00 1236.910 1225.32
2019-07-29 1241.84 2069127 1242.50 1248.995 1230.20

This exercise is part of the course

Intermediate Python for Finance

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Mask for large enough daily high
high_mask = alphabet.high ____ 500

# Filter using the mask
alphabet.____[____]
Edit and Run Code