与CSV按城市在Python

分类处理我已经整理CSV文件与天气预报数据：与CSV按城市在Python

New York 
"2016-04-08T07:00Z 6.2 d300 1 0.0 220 10.2 79 331" 
"2016-04-08T08:00Z 7.1 d000 1 0.0 223 10.6 74 400" 
"2016-04-08T09:00Z 7.7 d000 1 0.0 225 10.9 68 448" 
"2016-04-08T10:00Z 8.4 d000 2 0.0 225 10.9 64 553" 
"2016-04-08T11:00Z 8.9 d100 5 0.0 226 11.0 59 550" 
"2016-04-08T12:00Z 9.1 d100 8 0.0 227 11.0 57 516" 
"2016-04-08T13:00Z 8.6 d100 1 0.0 227 10.6 61 447" 
"2016-04-08T14:00Z 8.1 d100 4 0.0 227 10.1 64 362" 
Boston 
"2016-04-08T07:00Z 6.2 d300 1 0.0 220 10.2 79 331" 
"2016-04-08T08:00Z 7.1 d000 1 0.0 223 10.6 74 400" 
"2016-04-08T09:00Z 7.7 d000 1 0.0 225 10.9 68 448" 
"2016-04-08T10:00Z 8.4 d000 2 0.0 225 10.9 64 553" 
"2016-04-08T11:00Z 8.9 d100 5 0.0 226 11.0 59 550" 
"2016-04-08T12:00Z 9.1 d100 8 0.0 227 11.0 57 516" 
"2016-04-08T13:00Z 8.6 d100 1 0.0 227 10.6 61 447" 
"2016-04-08T14:00Z 8.1 d100 4 0.0 227 10.1 64 362"

等......每个城市有8个气象数据条目。

如何在Python中处理这种类型的CSV？

我想自动将整个CSV映射到具有诸如Place，DateTime，Temperature，Attr4，Attr5等属性的类实例数组......或者可能是某些其他数据结构 - 字典？这个简单的代码

with open('test.csv', 'rb') as csvfile: 
    wreader = csv.reader(csvfile, delimiter='\t', quotechar='"')  
    for row in wreader: 
     print row

输出是

['New York'] 
['2016-04-08T07:00Z\t6.2\td300\t1\t0.0\t220\t10.2\t79\t331'] 
['2016-04-08T08:00Z\t7.1\td000\t1\t0.0\t223\t10.6\t74\t400'] 
['2016-04-08T09:00Z\t7.7\td000\t1\t0.0\t225\t10.9\t68\t448'] 
['2016-04-08T10:00Z\t8.4\td000\t2\t0.0\t225\t10.9\t64\t553'] 
['2016-04-08T11:00Z\t8.9\td100\t5\t0.0\t226\t11.0\t59\t550'] 
['2016-04-08T12:00Z\t9.1\td100\t8\t0.0\t227\t11.0\t57\t516'] 
['2016-04-08T13:00Z\t8.6\td100\t1\t0.0\t227\t10.6\t61\t447'] 
['2016-04-08T14:00Z\t8.1\td100\t4\t0.0\t227\t10.1\t64\t362']

正如你看到在双引号中的内容不会被解析

然后，我改变quotechar=' '和部分解决问题

['"2016-04-08T07:00Z', '6.2', 'd300', '1', '0.0', '220', '10.2', '79', '331"']

但仍然留下双引号。如何移除？

来源

2016-04-24 leonas5555

你应该在读了（易谷歌能）[CSV]（https://docs.python.org/2/library/csv .html）模块！ – schwobaseggl

你有试过什么吗？粘贴你已经实现的内容，然后有人会帮助 – haifzhan

有条件读取csv数据，获取城市名称并将项目追加到本地列表中。然后，将该列表用于其他扩展需求，例如定义类和字典。

import csv 

weatherdata = [] 
with open('WeatherData.csv'), 'r') as csvfile: 
    readCSV = csv.reader(csvfile) 
    for line in readCSV: 
     items = [i.replace('"', '').split() for i in line][0]   
     if len(items) < 3: 
      city = items 
     else: 
      weatherdata.append([' '.join(city)] + items)  

for i in weatherdata: 
    print(i) 

# ['New York', '2016-04-08T07:00Z', '6.2', 'd300', '1', '0.0', '220', '10.2', '79', '331'] 
# ['New York', '2016-04-08T08:00Z', '7.1', 'd000', '1', '0.0', '223', '10.6', '74', '400'] 
# ['New York', '2016-04-08T09:00Z', '7.7', 'd000', '1', '0.0', '225', '10.9', '68', '448'] 
# ['New York', '2016-04-08T10:00Z', '8.4', 'd000', '2', '0.0', '225', '10.9', '64', '553'] 
# ['New York', '2016-04-08T11:00Z', '8.9', 'd100', '5', '0.0', '226', '11.0', '59', '550'] 
# ['New York', '2016-04-08T12:00Z', '9.1', 'd100', '8', '0.0', '227', '11.0', '57', '516'] 
# ['New York', '2016-04-08T13:00Z', '8.6', 'd100', '1', '0.0', '227', '10.6', '61', '447'] 
# ['New York', '2016-04-08T14:00Z', '8.1', 'd100', '4', '0.0', '227', '10.1', '64', '362'] 
# ['Boston', '2016-04-08T07:00Z', '6.2', 'd300', '1', '0.0', '220', '10.2', '79', '331'] 
# ['Boston', '2016-04-08T08:00Z', '7.1', 'd000', '1', '0.0', '223', '10.6', '74', '400'] 
# ['Boston', '2016-04-08T09:00Z', '7.7', 'd000', '1', '0.0', '225', '10.9', '68', '448'] 
# ['Boston', '2016-04-08T10:00Z', '8.4', 'd000', '2', '0.0', '225', '10.9', '64', '553'] 
# ['Boston', '2016-04-08T11:00Z', '8.9', 'd100', '5', '0.0', '226', '11.0', '59', '550'] 
# ['Boston', '2016-04-08T12:00Z', '9.1', 'd100', '8', '0.0', '227', '11.0', '57', '516'] 
# ['Boston', '2016-04-08T13:00Z', '8.6', 'd100', '1', '0.0', '227', '10.6', '61', '447'] 
# ['Boston', '2016-04-08T14:00Z', '8.1', 'd100', '4', '0.0', '227', '10.1', '64', '362']

来源

2016-04-24 23:31:22 Parfait

line [0]数据是['2016-04-08T07：00Z \ t6.2 \ td300 \ t1 \ t0.0 \ t220 \ t10.2 \ t79 \ t331']所以line [1]超出范围 – leonas5555

查看使用列表理解和列表拆分处理报价结构的更新代码（甚至处理城市中的空间，如* New York *）。 – Parfait

所以，如果我得到了正确的报价=''解决了问题。然后结果是

['"2016-04-08T07:00Z', '6.2', 'd300', '1', '0.0', '220', '10.2', '79', '331"'] 
['"2016-04-08T08:00Z', '7.1', 'd000', '1', '0.0', '223', '10.6', '74', '400"'] 
['"2016-04-08T09:00Z', '7.7', 'd000', '1', '0.0', '225', '10.9', '68', '448"'] 
['"2016-04-08T10:00Z', '8.4', 'd000', '2', '0.0', '225', '10.9', '64', '553"'] 
['"2016-04-08T11:00Z', '8.9', 'd100', '5', '0.0', '226', '11.0', '59', '550"'] 
['"2016-04-08T12:00Z', '9.1', 'd100', '8', '0.0', '227', '11.0', '57', '516"'] 
['"2016-04-08T13:00Z', '8.6', 'd100', '1', '0.0', '227', '10.6', '61', '447"']

，并在总

weatherdata = [] 
with open('test.csv', 'r') as csvfile: 
    readCSV = csv.reader(csvfile, delimiter='\t', quotechar=' ') 
    for line in readCSV: 
     if len(line) == 1: 
      city = line[0] 
     else:    
      weatherdata.append([city] + line) 

for c in weatherdata: 
    print(c)

来源

2016-04-25 14:39:18 leonas5555

Nonono ....双引号仍有问题['“2016-04-08T07：00Z'..................'79'，'331'' – leonas5555

与CSV按城市在Python

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