[英]How to read array data into numpy array from text file?
I have a text file, data.txt
, having data in this format: 我有一个文本文件
data.txt
,其中的数据格式如下:
[[ 1.0 2.0 3.0]
[1.0 2.0 3.0]
[1.0 2.0 3.0]
[1.0 2.0 3.0]]
How can I read data in this format into numpy
array in jupyter
? 如何在
jupyter
中将这种格式的数据读入numpy
数组?
import numpy as np
with open("data.txt") as infile:
my_array = np.array([map(float,line.strip(" []\n").split()) for line in infile.readlines()])
This should work and is generalizable to other types than float
: 这应该可以工作并且可以泛化为除
float
之外的其他类型:
with open("data.txt") as infile:
np.fromstring( infile.read().replace("[","").replace("]", ""), sep=" ").reshape(-1,3)
Note: np.fromstring
returns a 1d array, I added a reshaping assuming 3 columns. 注意:
np.fromstring
返回一个1d数组,我假设3列添加了重塑。
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.