Question

我的字典看起来像这样：

defaultdict(<type 'int'>, {'201304': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2}), '201305': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2}), '201306': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2}), '201301': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2}), '201302': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2}), '201303': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2}), '201212': defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})})

我想要一个看起来像这样的简历：

month,District - 1,District -2, District -3...... for however many districts there are 
201304,20,9,5,6,.....

我现在所拥有的是：

with open('output.csv','wb') as output_file:
    w= csv.writer(output_file)
    w.writerows(months.items())

months是我上面描述的词典的名称。不幸的是它输出：

201304  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})
201305  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})
201306  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})
201301  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})
201302  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})
201303  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})
201212  defaultdict(<type 'int'>, {'District - 1': 20, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2})

我需要的是每个月1行：

month,District - 1,District -2, District - 3, .... (as many as show up)
201304,22,34,2,3,4,2,3,14
201305,34,22,1,3,5
201306,23,4,42,4,2,2,24,2,5,6,6,7,1

有关如何修改我的代码以执行此操作的任何建议吗？

Answer 1

with open('output.csv','wb') as output_file:
    w= csv.writer(output_file)
    for month,values in months.iteritems():
       for k,v in values.iteritems():
            w.writerow([month, k ,v ] )
Update

对于内部字典的每个值，可以根据键值对其进行排序，而不是添加到输出文件

with open('output.csv','wb') as output_file:
        w= csv.writer(output_file)
        for month,values in months.iteritems():
            sortedValue = [v[1] for v in sorted(values.items(),key = lambda x: x[0])
            w.writerow([month] + sortedValue )

Answer 2

您需要处理原始数据（a）以找出所有存在的区域，并（b）重新组织它，以便按月 - 区组合查找特定值。

raw_data = {
    '201304': {'District - 1': 120, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
    '201305': {'District - 1': 220, 'District - 12': 9, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
    '201306': {'District - 1': 320, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
    '201301': {'District - 1': 420, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
    '201302': {'District - 1': 520, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
    '201303': {'District - 1': 620, 'District - 12': 9, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
    '201212': {'District - 1': 720, 'District - 6': 5, 'District - 5': 1, 'District - 4': 1, 'District - 3': 1, 'District - 2': 13, 'District - 15': 1, 'District - 14': 2},
}

# Reorganize data for lookup by (month, district) tuples,
# and determine all unique district names.

data = {}
districts = set()

for month, inner in raw_data.items():
    for district, val in inner.items():
        districts.add(district)
        data[month, district] = val

districts = sorted(districts)

# Write data row-by-row. The CSV work should be straightforward
# at this point.

for month in sorted(raw_data):
    row = [month]
    row.extend(data.get((month, d), None) for d in districts)
    print row

Answer 3

您可以使用csv.DictWriter，但需要添加月份列，因为它是一个二维字典：

#!python3
from collections import defaultdict
import csv

# populate the defaultdict "months"
# <deleted to keep short>

# Build a set of unique districts
s = set()
for k,v in months.items():
    s.update(v.keys())

# open per requirements of csv.writer
with open('out.csv','w',newline='') as f:
    # wrap in a DictWriter and specify column names
    w = csv.DictWriter(f,fieldnames=['month']+list(sorted(s)))
    w.writeheader()
    for k,v in months.items():
        # copy the dict of districts, add a month key and write the row
        temp = dict(v)
        temp['month'] = k
        w.writerow(temp)

输出：

month,District - 1,District - 12,District - 14,District - 15,District - 2,District - 3,District - 4,District - 5,District - 6
201301,20,9,2,1,13,1,1,1,5
201302,20,9,2,1,13,1,1,1,5
201303,20,9,2,1,13,1,1,1,5
201304,20,9,2,1,13,1,1,1,5
201305,20,9,2,1,13,1,1,1,5
201306,20,9,2,1,13,1,1,1,5
201212,20,9,2,1,13,1,1,1,5

注意：如果使用Python 2，请改用以下open：

with open('out.csv','wb') as f:

打印字典词典到csv？

3 个答案: