1.3 KiB
1.3 KiB
Exercise 5.1 - Solution
This is a partial solution that does not include type-hints.
# reader.py
import csv
def csv_as_dicts(lines, types, *, headers=None):
'''
Convert lines of CSV data into a list of dictionaries
'''
= []
records = csv.reader(lines)
rows if headers is None:
= next(rows)
headers for row in rows:
= { name: func(val)
record for name, func, val in zip(headers, types, row) }
records.append(record)return records
def csv_as_instances(lines, cls, *, headers=None):
'''
Convert lines of CSV data into a list of instances
'''
= []
records = csv.reader(lines)
rows if headers is None:
= next(rows)
headers for row in rows:
= cls.from_row(row)
record
records.append(record)return records
def read_csv_as_dicts(filename, types, *, headers=None):
'''
Read CSV data into a list of dictionaries with optional type conversion
'''
with open(filename) as file:
return csv_as_dicts(file, types, headers=headers)
def read_csv_as_instances(filename, cls, *, headers=None):
'''
Read CSV data into a list of instances
'''
with open(filename) as file:
return csv_as_instances(file, cls, headers=headers)