从输入文件 .csv 中获取特定的行值写出到新的 .csv 文件答案

【问题标题】：Get the particular row values from the input file .csv write out to new .csv file从输入文件 .csv 中获取特定的行值写出到新的 .csv 文件
【发布时间】：2018-05-25 09:03:20
【问题描述】：

我想从 .csv 文件中按顺序提取特定值。我的 .csv 文件如下所示：

t,px,py,pz,vx,vy
0.00040489,14.12025084,-0.002009773,0.000840943,0.195026080,1.355758297
0.00110044,12.83635303,-0.000548573,-0.00014433,0.130413970,-2.43868875
1.68165647,0.255617890,-0.001845726,-0.00084086,0.023879232,-8.39354209
1.68610220,0.255606449,-0.001963713,-0.00059876,0.023861204,-8.31501485
1.68900455,0.255587527,-0.002043956,-0.00044366,0.023849428,-8.26700131
4.99693312,0.229725068,0.0003837980,0.003745918,0.019379076,-3.09994830
5.00358073,0.229685715,0.0003664936,0.003709321,0.019376030,-3.11744550
5.00677838,0.229666449,0.0003580808,0.003691646,0.019374567,-3.12616105
5.01067399,0.229642709,0.0003477605,0.003670047,0.019372785,-3.13703933
9.99574307,0.237937739,-0.104983657,-0.08335162,0.018869346,-0.00283944
9.99935327,0.237987378,-0.105109574,-0.08342908,0.018871016,-0.00284325
10.0027278,0.238033837,-0.105227240,-0.08350144,0.018872581,-0.00284681
10.0060302,0.238079357,-0.105342358,-0.08357221,0.018874116,-0.00285029
10.0099914,0.238134027,-0.105480397,-0.08365702,0.018875962,-0.00285447
10.0142878,0.238193410,-0.105630066,-0.08374895,0.018877970,-0.00285901
.........
14.9980889,0.237862082,-0.054564047,-0.062497959,0.020898590,-0.0023804
15.0013937,0.237843713,-0.054438091,-0.062480914,0.020897489,-0.0023755
15.0056053,0.237820487,-0.054278111,-0.062459537,0.020896085,-0.0023693
15.0087124,0.237803480,-0.054160455,-0.062444016,0.020895048,-0.0023648
.................

从上面的文件中，我想获取（第 5 列、第 10 列等）的行。能被 5 整除的值和一个值就足够了。例如，一旦取了 5，它就应该寻找 10、15 等等。

我希望我的输出文件如下所示：

t,px,vx
5.00358073,0.229685715,0.019376030
10.0027278,0.238033837,0.018872581
15.0013937,0.237843713,0.020897489

【问题讨论】：

标签： python pandas csv numpy

【解决方案1】：

IIUC，我们在这里使用新的 para 'G'

df['G']=df.t//5

df.drop_duplicates('G',keep='first').loc[lambda x : x.G!=0]
Out[877]: 
            t        px        py        pz        vx        vy    G
6    5.003581  0.229686  0.000366  0.003709  0.019376 -3.117446  1.0
11  10.002728  0.238034 -0.105227 -0.083501  0.018873 -0.002847  2.0
16  15.001394  0.237844 -0.054438 -0.062481  0.020897 -0.002376  3.0

Adding `to_csv`

df.drop_duplicates('G',keep='first').loc[lambda x : x.G!=0].to_csv('your.csv')

【讨论】：

@Mathi 你还需要什么？我认为这就是所有基本代码......比如“我使用地板分区”？
好的，我现在明白了，但是如何将这些输出写到另一个 .csv 文件中
在末尾添加to_csv()