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PYTHON EXERCISES▼
PYTHON EXERCISES▼
Python | Overview of NUMPY exercise | Create, slice and sum array of Tokyo Olympics medals table
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You can learn how to do this exercise if you attend the course listed below!
| Software ==> | Python (25 exercises) |
| Version ==> | Latest version |
| Topic ==> | Overview of NUMPY (1 exercise) |
| Level ==> | Relatively easy |
| Classroom ==> | Python programming |
| Online ==> | Python programming |
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Total medals won by the top 5 countries at the Tokyo 2021 Olympics are shown below:
Go, United Kingdom!
Import the numpy module, and create a NumPy array to hold this information (including the country number). Here's what this should look like if you print it out:
The array should show the countries in rows and the country number and gold, silver and bronze medal count in columns (there's no need to store the total medal count - we can calculate that).
Use slicing to create another array to hold all of the rows of the first one, and all of the columns bar the first one:
The reduced array, excluding the country numbers.
Sum the array along the second axis to return the total number of medals won by each country:
China won more gold medals than the UK and the ROC, but less overall medals.
Close your program down!