如何转换为数据帧

我有一个数据文件是扩大的结果。该文件看起来像这样如何转换为数据帧

x [*,*] 
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102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
103 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
104 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
;

它本质上是一个105 X 56矩阵。我如何将它转换为Python中的数据框？

我想能够动态地使用该文件。目前我正在将文件从txt转换为csv并根据需要进行格式化。有人能给我一些想法吗？

来源

2016-12-04 Dinesh.hmn

使用'pandas.DataFrame（）' – Jakub

我做了，但是有文本，结果分成多行。前19栏然后是下19栏，最后是其余栏 –

一种解决方法可能如下：读取文件，将其拆分成块（在本例中用\n\n分隔），并用StringIO + pd.read_csv解析每个块。下面的解决方案放弃列名称，但这些名称很容易恢复。

import pandas as pd 
from io import StringIO 

with open('temp.txt') as f: 
    # exact copy of your input data 
    f.readline() 
    # drop the first line 
    blocks = f.read().split('\n\n') 
    df = pd.concat((pd.read_csv(StringIO(block), sep=r' +', header=None, skiprows=1, skipfooter=1, index_col=0) 
     for i, block in enumerate(blocks)), axis=1) 
    df.columns = [i for i in range(1, len(df.columns)+1)] 
    df.set_index(df.index.values + 1, inplace=True)

来源

2016-12-04 09:05:40

如何转换为数据帧

回答

相关问题