用pandas从txt加载数据 [英] Load data from txt with pandas

问题描述

我正在加载一个包含浮点数据和字符串数据的 txt 文件.我想将它们存储在一个数组中，我可以在其中访问每个元素.现在我只是在做

I am loading a txt file containig a mix of float and string data. I want to store them in an array where I can access each element. Now I am just doing

import pandas as pd

data = pd.read_csv('output_list.txt', header = None)
print data

这是输入文件的结构:1 0 2000.0 70.2836942112 1347.28369421/file_address.txt.

This is the structure of the input file: 1 0 2000.0 70.2836942112 1347.28369421 /file_address.txt.

现在数据作为唯一列导入.我该如何划分它，以便分别存储不同的元素(以便我可以调用 data[i,j])?以及如何定义标题?

Now the data are imported as a unique column. How can I divide it, so to store different elements separately (so I can call data[i,j])? And how can I define a header?

推荐答案

您可以这样做:

import pandas as pd
df = pd.read_csv('file_locationfilename.txt', delimiter = "	")

(like, df = pd.read_csv('F:Desktopds ext.txt', delimiter = " ")

(like, df = pd.read_csv('F:Desktopds ext.txt', delimiter = " ")

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