简体   繁体   English

如何在pandas.read_csv上的标题之前跳过未知数量的空行?

[英]How to skip an unknown number of empty lines before header on pandas.read_csv?

I want to read a dataframe from a csv file where the header is not in the first line. 我想从csv文件中读取数据帧,其中标题不在第一行。 For example: 例如:

In [1]: import pandas as pd

In [2]: import io

In [3]: temp=u"""#Comment 1
   ...: #Comment 2
   ...: 
   ...: #The previous line is empty
   ...: Header1|Header2|Header3
   ...: 1|2|3
   ...: 4|5|6
   ...: 7|8|9"""

In [4]: df = pd.read_csv(io.StringIO(temp), sep="|", comment="#", 
   ...:                  skiprows=4).dropna()

In [5]: df
Out[5]: 
   Header1  Header2  Header3
0        1        2        3
1        4        5        6
2        7        8        9

[3 rows x 3 columns]

The problem with the above code is that I don't now how many lines will exist before the header, therefore, I cannot use skiprows=4 as I did here. 上面代码的问题是我现在没有在标题之前存在多少行,因此,我不能像我在这里那样使用skiprows=4

I aware I can iterate through the file, as in the question Read pandas dataframe from csv beginning with non-fix header . 我知道我可以遍历文件,就像从非修复头开始从csv读取pandas数据帧一样

What I am looking for is a simpler solution, like making pandas.read_csv disregard any empty line and taking the first non-empty line as the header. 我正在寻找的是一个更简单的解决方案,比如让pandas.read_csv忽略任何空行并将第一个非空行作为标题。

您需要设置skip_blank_lines=True

df = pd.read_csv(io.StringIO(temp), sep="|", comment="#", skip_blank_lines=True).dropna()

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM