[英]Reading .txt file columns into pandas data frame and creating new columns
I have a .txt file which looks like the following: 我有一个.txt文件,如下所示:
156 2.87893e+06
157 968759
699 2.15891e+06
700 44927.2
1108 830338
1156 70513.5
1172 64263.2
The above file is an output file I am obtaining on running a c++ prog. 上面的文件是我在运行c ++ prog时获得的输出文件。 I want this output file in pandas df.
我想在pandas df中输出这个文件。
I tried following code: 我试过以下代码:
df = pd.read_csv("output.txt", index_col=0)
df
But here, columns from .txt file becomes one column in the df. 但是在这里,.txt文件中的列成为df中的一列。 I want the values in 2 columns separately, maybe with a column heading.
我想分别在2列中的值,可能有列标题。
OR since its a text file, if they are not 2 different columns in .txt file, then each row has 2 values separated by a space. 或者因为它是一个文本文件,如果它们不是.txt文件中的2个不同的列,那么每行有2个以空格分隔的值。 How can I get them in two different cols in pandas df ?
如何在pandas df中将它们放入两个不同的cols中?
Also, I tried the following code: 另外,我尝试了以下代码:
df = pd.read_csv("output.txt")
df.iloc[:,(0)]
Now, here the very first row from the original text file doesn't appears at all, and again both the values appear in one column. 现在,这里原始文本文件的第一行根本不显示,并且这两个值都显示在一列中。
pandas.read_csv
的默认分隔符是逗号,
您需要将sep
参数显式指定为空格才能读取空格分隔文件:
df = pd.read_csv("output.txt", sep = " ", index_col=0, header=None)
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