Question

我目前将此CSV数据存储在csv文件中：

33.23,1376460060.0,01:01:00.000000
33.29,1376460060.25,01:01:00.250000
33.29,1376460060.5,01:01:00.500000
33.29,1376460060.75,01:01:00.750000
33.33,1376460061.0,01:01:01.000000
33.29,1376460061.25,01:01:01.250000
33.33,1376460061.5,01:01:01.500000
33.29,1376460061.75,01:01:01.750000
33.33,1376460062.0,01:01:02.000000
33.33,1376460062.25,01:01:02.250000
33.37,1376460062.5,01:01:02.500000
33.33,1376460062.75,01:01:02.750000
33.33,1376460063.0,01:01:03.000000
33.33,1376460063.25,01:01:03.250000
33.33,1376460063.5,01:01:03.500000
33.37,1376460063.75,01:01:03.750000

有人可以帮我创建一个＆＃34; if语句＆＃34;或者＆＃34; while loop＆＃34;这只会告诉我这个：

33.33,1376460062.0,01:01:02.000000
33.33,1376460062.25,01:01:02.250000
33.37,1376460062.5,01:01:02.500000
33.33,1376460062.75,01:01:02.750000

所以我可以取出第1栏的意思。

我正在读这样的文件：

 Input_Tiempo = raw_input("----INPUT TIME: ")

 Full_InTi = Input_Tiempo 

 #This will convert Full_InTi to time in UNIX
 Full_InTiUNIX = time.mktime(datetime.datetime.strptime("14:08:2013:"+Full_InTi, "%d:%m:%Y:%H:%M:%S.%f").timetuple())

 #reads my csv file
 DATOS = np.genfromtxt(csvname+'NEW.csv', delimiter=',', dtype=None)

 LISTA = []

 for COLUMN in DATOS:
     INTC= eval(COLUMN[1])
     INTF = float(Full_InTiUNIX)

     if INTF <= INTC:
        if INTF <= INTC:
           print "D: "+COLUMN[0]+" TU: "+COLUMN[1] +" H: " + COLUMN[2]
           LISTA.append(COLUMN[2])

到目前为止，我还没有能力，它只显示我需要的东西。

Answer 1

您没有向我们提供有关原始csv的足够信息（例如标题或获取该行的条件）

对于给定的数据，请尝试以下方法：

import csv

with open('your_file.csv', 'r') as my_csv_file:

    csv_data_dict = csv.DictReader(my_csv_file)
    searched_key = 'the_column_name_of_the_second_data_in_your_line'

    for line in csv_data_dict:
        if '1376460062' in line[searched_key]:
            print line

Answer 2

如果您只需要1376460062。**作为第二列，那么可以执行以下操作：

import csv
with open("csvname",'r') as inp:
    row=csv.reader(inp)
    for i in row:
        if '1376460062' in i[1]:
            print(i)

如何在python中声明

2 个答案: