fieldict(filename)以DOT格式读取文件 返回带有DOT CMPLID的字典,转换为 整数,作为键,元组作为对应的值 为那把钥匙。元组的格式是: (制造商,日期,崩溃,城市,州)
fieldict("DOT500.txt")[416]
('DAIMLERCHRYSLER CORPORATION', datetime.date(1995, 1, 9), False, 'ARCADIA',
到目前为止,我已经尝试了
from collections import defaultdict
import datetime
def fieldict(filename):
with open(filename) as f:
x=[line.split('\t')[0].strip() for line in f] #list of complaint numbers
y= line.split('\t') #list of full complaints
d={}
for j in x:
Y= True
N= False
d[j] = tuple(y[2],datetime.date(y[7]), y[6], y[12], y[13]) #dict with number of complaint as key and tuple with index as values
return d
没有运气......我想我很接近..非常感谢你的帮助
编辑:每个投诉的格式都是这样的
'11\t958128\tDAIMLERCHRYSLER CORPORATION\tDODGE\tSHADOW\t1990\tY\t19941117\tN\t0\t0\tENGINE AND ENGINE COOLING:ENGINE\tWILMINGTON \tDE\t1B3XT44KXLN\t19950103\t19950103\t\t1\tENGINE MOTOR MOUNTS FAILED, RESULTING IN ENGINE NOISE. *AK\tEVOQ\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tV\t\r\n'
没有字符标记的条目显示:
11 958128 DAIMLERCHRYSLER CORPORATION DODGE SHADOW 1990 Y 19941117 N 0 0 ENGINE AND ENGINE COOLING:ENGINE WILMINGTON DE 1B3XT44KXLN 19950103 19950103 1 ENGINE MOTOR MOUNTS FAILED, RESULTING IN ENGINE NOISE. *AK EVOQ
答案 0 :(得分:2)
注意:修剪换行符由读者完成。
实现此目的的一种简洁方法是使用dict(zip(headers,data_list))
假设您的样本数据类似于
joe\tSan Francisco\tapple
frank\tNew York City\torange
tim\tHawaii\tpineapple
您可以执行以下操作:
results = []
headers = ['person','place','fruit']
for line in open('datafile.txt').readlines():
record = line.split('\t')
results.append(dict(zip(headers,record)))
这将为每一行创建一个dict,并将其附加到'结果'的末尾。
看起来像:
[{'fruit': 'apple\n', 'person': 'joe', 'place': 'San Francisco'},
{'fruit': 'orange\n', 'person': 'frank', 'place': 'New York City'},
{'fruit': 'pineapple\n', 'person': 'tim', 'place': 'Hawaii'}]
答案 1 :(得分:2)
您希望与csv
模块结交朋友,因为这看起来像标签格式化的csv文本。 csv.reader()
有一个.next()
方法,当你在for循环中抛出它时会调用它,所以你可以逐行浏览文件。
作为一般提示,请阅读PEP8,并使用可理解的变量名称。 使用python,如果它开始感觉很难,这是一个好的迹象,通常有更好的方法。
import csv
import datetime
def _build_datetime(line)
year_idx = x
month_idx = y
day_idx = z
indexes = (year_idx, month_idx, day_idx)
result_datetime = None
if all(line[idx] for idx in indexes): # check that expected values are populated
int_values = [int(line[idx]) for idx in indexes]
result_datetime = datetime.date(*int_values)
return result_datetime
def format2dict(filename):
complaints = {}
with open(filename, "rb") as in_f:
reader = csv.reader(in_f, delimiter='\t')
complaint_id_idx = 0
manufacturer_idx = 2
crash_idx = x
city_idx = 12
state_idx = 13
for line in reader:
complaint_id = int(line[complaint_id_idx])
data= (
line[manufacturer_idx],
_build_datetime(line),
line[crash_idx],
line[city_idx],
line[state_idx],
)
complaints[complaint_id] = data
return complaints
if __name__ == "__main__":
formatted_data = format2dict("DOT500.txt")
答案 2 :(得分:1)
你使用line.split('\ t')在正确的轨道上将文本拆分成碎片。尝试这样的东西来从分裂的部分构建元组。
import datetime
a = '11\t958128\tDAIMLERCHRYSLER CORPORATION\tDODGE\tSHADOW\t1990\tY\t19941117\tN\t0\t0\tENGINE AND ENGINE COOLING:ENGINE\tWILMINGTON \tDE\t1B3XT44KXLN\t19950103\t19950103\t\t1\tENGINE MOTOR MOUNTS FAILED, RESULTING IN ENGINE NOISE. *AK\tEVOQ\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tV\t'
fields = a.split('\t')
recordNum = fields[0]
mfr = fields[2]
recDate = datetime.date(int(fields[5]),1,2)
make = fields[4]
DOTrecord = recordNum,mfr, recDate,make
print DOTrecord