使用Python将csv列中的测试数据分割成几个]] << [

问题描述 投票:-1回答:1
我对python比较陌生。

我需要从csv文件中分离出一些测试数据(湿度,温度)。该文件没有标题,但第0列包含日期,第1列包含时间,第2列包含我需要拆分的数据。数据来自我测量湿度和温度的Arduino。

我可以使用pandas csv_read打开文件,但是我似乎无法使用sep =','将第2列分开,所以我不知道为什么。分离出数据后,需要将其写入新文件。

import pandas as pd file = open('RH_TEMP-13-01-2020-161111.csv', 'r') df = pd.read_csv(file, sep = ',', header = None) print(df)

输出:

0 1 2 0 13/01 16:11:13 41.84,20.36,37.19,21.59\n 1 13/01 16:11:15 41.84,20.36,37.17,21.59\n 2 13/01 16:11:16 41.79,20.37,37.25,21.59\n 3 13/01 16:11:18 41.79,20.36,37.25,21.59\n 4 13/01 16:11:19 41.77,20.37,37.04,21.61\n 5 13/01 16:11:20 41.77,20.37,36.95,21.59\n 6 13/01 16:11:22 41.74,20.37,37.69,21.61\n 7 13/01 16:11:23 41.72,20.37,38.48,21.61\n 8 13/01 16:11:25 41.72,20.39,37.94,21.61\n 9 13/01 16:11:26 41.72,20.39,37.54,21.62\n 10 13/01 16:11:27 41.70,20.39,37.25,21.62\n 11 13/01 16:11:29 41.70,20.37,37.04,21.61\n 12 13/01 16:11:30 41.70,20.40,36.95,21.61\n 13 13/01 16:11:32 41.67,20.40,36.90,21.61\n 14 13/01 16:11:33 41.67,20.40,36.92,21.62\n 15 13/01 16:11:34 41.67,20.41,36.87,21.61\n 16 13/01 16:11:36 41.64,20.40,36.87,21.62\n 17 13/01 16:11:37 41.64,20.41,36.87,21.62\n 18 13/01 16:11:39 41.64,20.41,36.90,21.64\n 19 13/01 16:11:40 41.62,20.41,36.90,21.62\n 20 13/01 16:11:42 41.62,20.41,36.90,21.62\n 21 13/01 16:11:43 41.62,20.43,39.02,21.62\n

Original csv file

13 / 01,16:11:13,“ 41.84,20.36,37.19,21.59”13 / 01,16:11:15,“ 41.84,20.36,37.17,21.59”13 / 01,16:11:16,“ 41.79,20.37,37.25,21.59”13 / 01,16:11:18,“ 41.79,20.36,37.25,21.59”13 / 01,16:11:19,“ 41.77,20.37,37.04,21.61”13 / 01,16:11:20,“ 41.77,20.37,36.95,21.59“

我对python比较陌生。我需要从csv文件中分离出一些测试数据(湿度,温度)。该文件没有标题,但列0包含日期,列1包含时间,列2 ...

python csv delimiter comma
1个回答
1
投票
我从您提供的文件中创建了一个.csv文件,并像这样导入了它(给列名)
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