Editing group dict and writing main function to retrieve data #45
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This code contains functions allowing for saving and loading from a yaml file. Answers to UCL-RITS/rse-classwork-2020#11 |
stefpiatek
reviewed
Oct 29, 2020
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+47
| data = group_dict.values() | ||
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| # 1. Calculate maximum age in the group | ||
| maximum_age = max([x['age'] for x in data]) | ||
| print('The maximum age in group_dict is :', maximum_age) | ||
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| # 2. Average number of relations in the group | ||
| import numpy as np | ||
| av_connections = np.mean([len(x['connection']) for x in data]) | ||
| print('The average number of connections in group_dict is :', av_connections) | ||
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| #3. The maximum age of people with at least one relation | ||
| maximum_age = max([x['age'] for x in data if len(x['connection']) >= 1]) | ||
| print('The maximum age of people in group_dict with at least one connection is :', maximum_age) | ||
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| #4. The maximum age of people in the group that have at least one friend | ||
| maximum_age = max([x['age'] for x in data if len([connection for connection in x['connection'].values() if connection=='friend']) >=1 ]) | ||
| print('The maximum age of people in group_dict with at least one friend is :', maximum_age) |
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This commit contains code to print answers based on data comprehension e.g. maximum age, conditionality statements and looping through data.
Answering to issue UCL-RITS/rse-classwork-2020#10