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agate_csv_filter_by_column_and_aggregate_mean.py
pythonImports a CSV file, filters data by a specific column value, and calculates the av
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agate_csv_filter_by_column_and_aggregate_mean.py
1import agate
2
3# Load a CSV
4table = agate.Table.from_csv('examples/real_world.csv')
5
6# Filter for rows where the column 'state' is 'Texas'
7texas_table = table.where(lambda row: row['state'] == 'Texas')
8
9# Calculate the mean of the 'population' column
10mean_population = texas_table.aggregate(agate.Mean('population'))
11
12print(mean_population)