Python 从文本文件中将数据读入 numpy 数组
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Reading data into numpy array from text file
提问by Nirvan
I have a file with some metadata, and then some actual data consisting of 2 columns with headings. Do I need to separate the two types of data before using genfromtxt in numpy? Or can I somehow split the data maybe? What about placing the file pointer to the end of the line just above the headers, and then trying genfromtxt from there? Thanks The format of the file is shown below:
我有一个包含一些元数据的文件，然后是一些包含带有标题的 2 列的实际数据。在numpy中使用genfromtxt之前是否需要将两种类型的数据分开？或者我可以以某种方式拆分数据吗？将文件指针放在标题上方的行尾，然后从那里尝试 genfromtxt 怎么样？谢谢 文件格式如下图：
&SRS
<MetaDataAtStart>
multiple=True
Wavelength (Angstrom)=0.97587
mode=assessment
background=True
issid=py11n2g
noisy=True
</MetaDataAtStart>
&END
Two Theta(deg) Counts(sec^-1)
10.0 41.0
10.1 39.0
10.2 38.0
10.3 38.0
10.4 41.0
10.5 42.0
10.6 38.0
10.7 44.0
10.8 42.0
10.9 39.0
11.0 37.0
11.1 37.0
11.2 45.0
11.3 36.0
11.4 37.0
11.5 37.0
11.6 40.0
11.7 44.0
11.8 45.0
11.9 46.0
12.0 44.0
12.1 40.0
12.2 41.0
12.3 39.0
12.4 41.0
采纳答案by cm2
If you don't want the first nrows, try (if there is no missing data):
如果您不想要第一n行，请尝试（如果没有丢失数据）：
data = numpy.loadtxt(yourFileName,skiprows=n)
or (if there are missing data):
或（如果有缺失数据）：
data = numpy.genfromtxt(yourFileName,skiprows=n)
If you then want to parse the header information, you can go back and openthe file parse the header, for example:
如果接下来要解析头信息，可以返回open文件解析头信息，例如：
fh = open(yourFileName,'r')
for i,line in enumerate(fh):
if i is n: break
do_other_stuff_to_header(line)
fh.close()
