"""This file contains code related to "Think Bayes",
by Allen B. Downey, available from greenteapress.com
Copyright 2014 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
from __future__ import print_function, division
import csv
def read_csv(filename, constructor):
"""Reads a CSV file, returns the header line and a list of objects.
filename: string filename
"""
fp = open(filename)
reader = csv.reader(fp)
header = reader.next()
names = [s.lower() for s in header]
objs = [make_object(t, names, constructor) for t in reader]
fp.close()
return objs
def write_csv(filename, header, data):
"""Writes a CSV file
filename: string filename
header: list of strings
data: list of rows
"""
fp = open(filename, 'w')
writer = csv.writer(fp)
writer.writerow(header)
for t in data:
writer.writerow(t)
fp.close()
def print_cols(cols):
"""Prints the index and first two elements for each column.
cols: list of columns
"""
for i, col in enumerate(cols):
print(i, col[0], col[1])
def make_col_dict(cols, names):
"""Selects columns from a dataset and returns a map from name to column.
cols: list of columns
names: list of names
"""
col_dict = {}
for name, col in zip(names, cols):
col_dict[name] = col
return col_dict
def make_object(row, names, constructor):
"""Turns a row of values into an object.
row: row of values
names: list of attribute names
constructor: function that makes the objects
Returns: new object
"""
obj = constructor()
for name, val in zip(names, row):
func = constructor.convert.get(name, int)
try:
val = func(val)
except:
pass
setattr(obj, name, val)
obj.clean()
return obj
