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[英]How to read data from multiple csv file and generate reports in THIS scenario?
[英]How to read multiple records from a CSV file?
我有一个csv文件l__cyc.csv
,其中包含以下内容:
trip_id, time, O_lat, O_lng, D_lat, D_lng
130041910101,1300,51.5841153671,0.134444590094,51.5718053872,0.134878021928
130041910102,1335,51.5718053872,0.134878021928,51.5786920389,0.180940040247
130041910103,1600,51.5786920389,0.180940040247,51.5841153671,0.134444590094
130043110201,1500,51.5712712038,0.138532882664,51.5334949484,0.130489470325
130043110202,1730,51.5334949484,0.130489470325,51.5712712038,0.138532882664
我正在尝试使用以下方法提取单独的值:
with open('./l__cyc.csv', 'rU') as csvfile:
reader = csv.DictReader(csvfile)
origincoords = ['{O_lat},{O_lng}'.format(**row) for row in reader]
with open('./l__cyc.csv', 'rU') as csvfile:
reader = csv.DictReader(csvfile)
trip_id = ['{trip_id}'.format(**row) for row in reader]
with open('./l__cyc.csv', 'rU') as csvfile:
reader = csv.DictReader(csvfile)
destinationcoords = ['{D_lat},{D_lng}'.format(**row) for row in reader]
如果origincoords
应为51.5841153671, 0.134444590094
,
trip_id
应该是130041910101
,而destinationcoords
应该是
51.5718053872, 0.134878021928
。
但是,我得到一个KeyError
:
KeyError: 'O_lat'
这是简单的事情,是我误会了一些基本问题吗?
您只需要避免标题之间的空格
trip_id,time,O_lat,O_lng,D_lat,D_lng
要么
reader = csv.DictReader(csvfile, skipinitialspace=True)
首先,您会得到密钥错误,因为密钥在您的词典中不存在。
接下来,我建议不要一次运行文件3次,而只需一次即可!
对我来说,当我将字段名添加到阅读器时,它起作用了。
import csv
from cStringIO import StringIO
src = """trip_id, time, O_lat, O_lng, D_lat, D_lng
130041910101,1300,51.5841153671,0.134444590094,51.5718053872,0.134878021928
130041910102,1335,51.5718053872,0.134878021928,51.5786920389,0.180940040247
130041910103,1600,51.5786920389,0.180940040247,51.5841153671,0.134444590094
130043110201,1500,51.5712712038,0.138532882664,51.5334949484,0.130489470325
130043110202,1730,51.5334949484,0.130489470325,51.5712712038,0.138532882664
"""
f = StringIO(src)
# determine the fieldnames
fieldnames= "trip_id,time,O_lat,O_lng,D_lat,D_lng".split(",")
# read the file
reader = csv.DictReader(f, fieldnames=fieldnames)
# storage
origincoords = []
trip_id = []
destinationcoords = []
# iterate the rows
for row in reader:
origincoords.append('{O_lat},{O_lng}'.format(**row))
trip_id.append('{trip_id}'.format(**row))
destinationcoords.append('{D_lat},{D_lng}'.format(**row))
# pop the header off the list
origincoords.pop(0)
trip_id.pop(0)
destinationcoords.pop(0)
# show the result
print origincoords
print trip_id
print destinationcoords
我真的不知道您要在此达成什么目标,但是我敢肯定有更好的方法来做到这一点!
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