Python：如何在Python上从csv中选择列？

Python新手，我一直在尝试选择这些字段“事件编号、地址、事件日期、主要情况、财产使用、主管地区、， 消防检查数据集中的“邻里区”位置

我试过在这里找到的代码，但得到的语法无效。您可能会在此处找到此代码，但我对其进行了一些调整：

import csv
from collections import defaultdict

columns = defaultdict(list) # each value in each column is appended to a list

with open('Fire_Incidents_06052017.csv') as f:
    reader = csv.DictReader(f) # read rows into a dictionary format
    for row in reader: # read a row as {column1: value1, column2: value2,...}
        for (k,v) in row.items(): # go over each column name and value 
            columns[k].append(v) # append the value into the appropriate list
                                 # based on column name k
#Incident_Date, Primary_Situation, Property_Use, Supervisor_District, "Neighborhood _District", Location

print(columns['Incident_Number'])
print(columns['Address'])
print(columns['Incident_Date'])
print(columns['Primary_Situation'])
print(columns['Property_Use'])
print(columns['Supervisor_District'])
print(columns['Neighborhood _District'])
print(columns['Location'])

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有没有一种更简单的方法可以用python拉取这些列？csv太大，excel和SQLite无法在不崩溃的情况下打开/导出。

稍微搜索一下，我就找到了列表。使用前10行：

Incident Number,Exposure Number,Address,Incident Date,Call Number,Alarm DtTm,Arrival DtTm,Close DtTm,City,Zipcode,Battalion,Station Area,Box,Suppression Units,Suppression Personnel,EMS Units,EMS Personnel,Other Units,Other Personnel,First Unit On Scene,Estimated Property Loss,Estimated Contents Loss,Fire Fatalities,Fire Injuries,Civilian Fatalities,Civilian Injuries,Number of Alarms,Primary Situation,Mutual Aid,Action Taken Primary,Action Taken Secondary,Action Taken Other,Detector Alerted Occupants,Property Use,Area of Fire Origin,Ignition Cause,Ignition Factor Primary,Ignition Factor Secondary,Heat Source,Item First Ignited,Human Factors Associated with Ignition,Structure Type,Structure Status,Floor of Fire Origin,Fire Spread,No Flame Spead,Number of floors with minimum damage,Number of floors with significant damage,Number of floors with heavy damage,Number of floors with extreme damage,Detectors Present,Detector Type,Detector Operation,Detector Effectiveness,Detector Failure Reason,Automatic Extinguishing System Present,Automatic Extinguishing Sytem Type,Automatic Extinguishing Sytem Perfomance,Automatic Extinguishing Sytem Failure Reason,Number of Sprinkler Heads Operating,Supervisor District,Neighborhood  District,Location
09030109,0,310 Colon Av.,04/12/2009,091020273,04/12/2009 06:09:13 PM,04/12/2009 06:13:45 PM,04/12/2009 07:23:13 PM,SF,,B09,15,,1,5,0,0,0,0,T15,,,0,0,0,0,,551 - assist pd or other govern. agency,none,52 - forcible entry,-,-,-,"000 - property use, other",,,,,,,,,,,,,,,,,,,,,,,,,,,,,
13067402,0,20 Lansdale Av,07/18/2013,131990117,07/18/2013 10:32:03 AM,07/18/2013 10:37:15 AM,07/18/2013 10:39:55 AM,SF,,B09,39,8571,3,11,0,0,0,0,E39,,,0,0,0,0,,745 - alarm system sounded/no fire-accidental,none,86 - investigate,-,-,-,429 - multifamily dwellings,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
12044490,0,7th St. / Folsom St.,05/13/2012,121340051,05/13/2012 03:55:37 AM,05/13/2012 04:01:57 AM,05/13/2012 04:05:44 AM,SF,94103,B03,01,,3,10,0,0,0,0,B03,,,0,0,0,0,,"711 - municipal alarm system, street box false",none,86 - investigate,-,-,-,963 - street or road in commercial area,,,,,,,,,,,,,,,,,,,,,,,,,,,6,South of Market,"(37.7767460000297, -122.407844)"
13033326,0,2799 Pacific Av,04/09/2013,130990286,04/09/2013 04:34:07 PM,04/09/2013 04:39:31 PM,04/09/2013 05:20:27 PM,SF,,B04,10,4163,3,10,0,0,0,0,B04,,,0,0,0,0,,"746 - co detector activation, no co",none,86 - investigate,-,-,-,419 - 1 or 2 family dwelling,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
11101416,0,Polk St. / Pine St.,11/01/2011,113050357,11/01/2011 06:07:45 PM,11/01/2011 06:10:17 PM,11/01/2011 06:11:09 PM,SF,94109,B04,03,,2,9,0,0,0,0,E03,,,0,0,0,0,,"711 - municipal alarm system, street box false",none,86 - investigate,-,-,-,"960 - street, other",,,,,,,,,,,,,,,,,,,,,,,,,,,3,Nob Hill,"(37.7896190000297, -122.420497)"
12077793,0,2824 Scott St.,08/22/2012,122350085,08/22/2012 08:58:06 AM,08/22/2012 09:10:06 AM,08/22/2012 09:13:18 AM,SF,94123,B04,16,,3,11,0,0,0,0,E51,,,0,0,0,0,,"700 - false alarm or false call, other",none,86 - investigate,-,-,-,"400 - residential, other",,,,,,,,,,,,,,,,,,,,,,,,,,,2,Marina,"(37.7960234800297, -122.43998326)"
07021713,0,San Bruno Av. / Teddy Av.,03/15/2007,070740223,03/15/2007 01:55:35 PM,03/15/2007 01:59:24 PM,03/15/2007 01:59:56 PM,SF,94134,B10,44,,1,4,0,0,0,0,E42,,,0,0,0,0,,"711 - municipal alarm system, street box false",none,86 - investigate,-,-,-,"962 - residential street, road or residential dr",,,,,,,,,,,,,,,,,,,,,,,,,,,10,Visitacion Valley,"(37.7129950000296, -122.4021)"
15065212,0,1532 Noriega Street,06/20/2015,151710341,06/20/2015 02:44:56 AM,06/20/2015 02:51:39 AM,06/20/2015 03:18:48 AM,San Francisco,94122,B08,40,7431,8,28,1,2,1,2,,800,,0,0,0,0,,"113 cooking fire, confined to container",n none,52 forcible entry,,,2 detector did not alert occupants,161 restaurant or cafeteria,,,,,,,,,,,,na,,,,,,,,,,,,,,,4,Sunset/Parkside,"(37.7541490000296, -122.480073)"
10097225,0,1215 Carolina St.,10/31/2010,103040303,10/31/2010 05:14:49 PM,10/31/2010 05:19:50 PM,10/31/2010 05:27:14 PM,SF,94107,B10,37,,3,10,0,0,0,0,E37,,,0,0,0,0,,745 - alarm system sounded/no fire-accidental,none,86 - investigate,-,-,-,"500 - mercantile, business, other",,,,,,,,,,,,,,,,,,,,,,,,,,,10,Potrero Hill,"(37.7533230000297, -122.399403)"

以及以下代码：

import csv
columns = {}
with open("incidents.csv", "r") as f:
    reader = csv.DictReader(f)
    for row in reader:
        for key, value in row.items():
            try:
                columns[key].append(value)
            except KeyError:
                columns[key] = [value]

print(columns['Incident Number'])

产生了以下输出：

['09030109', '13067402', '12044490', '13033326', '11101416', '12077793', '07021713', '15065212', '10097225']

使用您的代码，这导致了类似的数据结构，给了我同样的结果

需要注意的是，数据集中有两个名称相似的不同列<代码>邻里区和

邻里区

。将在包含数据的列中显示包含两个空格的列

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在所有这些之后，我只能得出结论，你的代码中有某种类型的输入错误并没有被转移到stackoverflow。请完整发布您的错误信息？

您是否尝试过

pandas.read\u csv（）

？是否只导入您感兴趣的列，或者是否可以导入所有内容，然后将其子集化为您想要的列？欢迎使用SO。试图解决您的问题-您有一个大的CSV，您似乎正在阅读python。你希望你的最终结果是什么？你的目标是什么？给猫剥皮总是有不同的方法…我看你的代码没有任何问题。怎么了？你说了一个语法错误；哪里？在

print（列['neighbourt\u District'）

中有一个空格，它可能会导致问题，除了有几行csv可能会有帮助之外。