pandas read_csv:header/skiprows不工作

Question

全部-

第一次在这里提问，如果格式不好，请告诉我如何改进我的问题。在

我正在寻求对熊猫.read_csv（）功能。在

下面是我试图用python读取的原始数据的一个示例：

MiniSonde 5 43656
"Log File Name : lwrhyp_deploy_20170104"
"Setup Date (MMDDYY) : 010417"
"Setup Time (HHMMSS) : 114539"
"Starting Date (MMDDYY) : 010417"
"Starting Time (HHMMSS) : 140000"
"Stopping Date (MMDDYY) : 123169"
"Stopping Time (HHMMSS) : 235959"
"Interval (HHMMSS) : 010000"
"Sensor warmup (HHMMSS) : 000100"
"Circltr warmup (HHMMSS) : 000030"


"Date","Time","","Temp","","SpCond","","Sal","","Dep25","","TDG","","TDG","","LDO%","","LDO","","IBatt",""
"MMDDYY","HHMMSS","","øC","","mS/cm","","ppt","","meters","","mmHg","","psia","","Sat","","mg/l","","Volts",""

01/04/17,14:00:00,"",7.97,"",.0691,"",.02,"",.75,"",735,"",14.22,"",52.7,"",6.15,"",11.4,""
01/04/17,15:00:00,"",7.9,"",.0692,"",.02,"",.76,"",736,"",14.23,"",52.8,"",6.17,"",11.4,""
01/04/17,16:00:00,"",7.89,"",.0694,"",.02,"",.77,"",736,"",14.23,"",52.3,"",6.12,"",11.4,""
01/04/17,17:00:00,"",7.88,"",.0699,"",.02,"",.78,"",735,"",14.21,"",51.8,"",6.06,"",11.4,""
01/04/17,18:00:00,"",7.85,"",.0699,"",.02,"",.78,"",733,"",14.18,"",51.3,"",6.01,"",11.4,""
01/04/17,19:00:00,"",7.83,"",.0706,"",.02,"",.78,"",731,"",14.14,"",51.3,"",6.01,"",11.4,""
01/04/17,20:00:00,"",7.81,"",.0706,"",.02,"",.79,"",730,"",14.12,"",51.1,"",5.99,"",11.4,""
01/04/17,21:00:00,"",7.81,"",.0699,"",.02,"",.79,"",730,"",14.11,"",50.8,"",5.95,"",11.4,""
01/04/17,22:00:00,"",7.76,"",.0702,"",.02,"",.8,"",729,"",14.1,"",50.5,"",5.92,"",11.3,""
01/04/17,23:00:00,"",7.76,"",.0704,"",.02,"",.8,"",729,"",14.09,"",50.5,"",5.93,"",11.3,""
01/05/17,00:00:00,"",7.76,"",.07,"",.02,"",.8,"",729,"",14.09,"",50.5,"",5.92,"",11.3,""

我试图使用以“Date”开头的行或以“MMDDYY”开头的行作为标题行。当我在文本编辑器中打开原始数据时，与“Date”对应的行是第14行，这将是零索引python land中的第13行。在

我使用了以下代码，认为它应该跳过前12行，开始读取第13行的数据：

^{pr2}$

但这就产生了错误：

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf8 in position 0: invalid start byte

经过反复试验，我发现以下代码产生了我所追求的结果类型，但我不明白它为什么会起作用：

test = pd.read_csv(filepath, skiprows=[14], header=11, skip_blank_lines=True)

我不明白你是怎么数数的。标题行不在第11行，而是在第13行，这是不是我错了？代码只在skiprows=[14]时有效，这是为什么？在

在一个旁注下，有没有办法防止原始数据中存在的空白列被读取到数据文件中？在

Answer 1

首先，skiprows并没有像你想象的那样做。当您给它一个列表作为输入时，它将在解析文件时跳过这些行。对于您想要的，只需使用header。在

第二，pandas zero索引文件行。在

第三，当您有skip_blank_lines=True时，它似乎会在考虑#header#值之前重新索引文件的行。因此，在您的示例中，它不会在标题之前（即在标题后面的）中索引空白行11和12。记住pandas zero索引文件行，我们可以看到头上的header=11行sup：

line/ : content
0:MiniSonde 5 43656
1:"Log File Name : lwrhyp_deploy_20170104"
2:"Setup Date (MMDDYY) : 010417"
3:"Setup Time (HHMMSS) : 114539"
4:"Starting Date (MMDDYY) : 010417"
5:"Starting Time (HHMMSS) : 140000"
6:"Stopping Date (MMDDYY) : 123169"
7:"Stopping Time (HHMMSS) : 235959"
8:"Interval (HHMMSS) : 010000"
9:"Sensor warmup (HHMMSS) : 000100"
10:"Circltr warmup (HHMMSS) : 000030"


11:"Date","Time","","Temp","","SpCond","","Sal","","Dep25","","TDG","","TDG","","LDO%","","LDO","","IBatt",""
12:"MMDDYY","HHMMSS","","øC","","mS/cm","","ppt","","meters","","mmHg","","psia","","Sat","","mg/l","","Volts",""

13:01/04/17,14:00:00,"",7.97,"",.0691,"",.02,"",.75,"",735,"",14.22,"",52.7,"",6.15,"",11.4,""
14:01/04/17,15:00:00,"",7.9,"",.0692,"",.02,"",.76,"",736,"",14.23,"",52.8,"",6.17,"",11.4,""
15:01/04/17,16:00:00,"",7.89,"",.0694,"",.02,"",.77,"",736,"",14.23,"",52.3,"",6.12,"",11.4,""
16:01/04/17,17:00:00,"",7.88,"",.0699,"",.02,"",.78,"",735,"",14.21,"",51.8,"",6.06,"",11.4,""
17:01/04/17,18:00:00,"",7.85,"",.0699,"",.02,"",.78,"",733,"",14.18,"",51.3,"",6.01,"",11.4,""
18:01/04/17,19:00:00,"",7.83,"",.0706,"",.02,"",.78,"",731,"",14.14,"",51.3,"",6.01,"",11.4,""
19:01/04/17,20:00:00,"",7.81,"",.0706,"",.02,"",.79,"",730,"",14.12,"",51.1,"",5.99,"",11.4,""
20:01/04/17,21:00:00,"",7.81,"",.0699,"",.02,"",.79,"",730,"",14.11,"",50.8,"",5.95,"",11.4,""
21:01/04/17,22:00:00,"",7.76,"",.0702,"",.02,"",.8,"",729,"",14.1,"",50.5,"",5.92,"",11.3,""
22:01/04/17,23:00:00,"",7.76,"",.0704,"",.02,"",.8,"",729,"",14.09,"",50.5,"",5.93,"",11.3,""
23:01/05/17,00:00:00,"",7.76,"",.07,"",.02,"",.8,"",729,"",14.09,"",50.5,"",5.92,"",11.3,""