从 ASCII 文件导入 table
Importing a table from an ASCII file
我无法在 MATLAB 中加载文本文件。我使用的代码是:
y=load('AllReadings.txt')
产生错误:
文本文件内容为:
Heart Rate (BPM) GSR Respiration Rate Ambient Temperature
inf 495 49.96 3
inf 495 49.96 3
inf 495 23.03 7
inf 496 23.03 7
inf 495 23.03 7
inf 496 23.03 11
7.68 496 23.03 11
7.68 496 23.03 14
7.68 496 23.03 14
7.68 496 23.03 15
7.68 496 23.03 14
(Editor's note: the source data is delimited using a combination of tabs and spaces, which is not visible in the rendered output, but can be seen when editing the question.)
我在R2019a上测试过,这样的文本文件可以使用importdata
:
正确导入
>> y = importdata('AllReadings.txt')
y =
struct with fields:
data: [11×4 double]
textdata: {'Heart Rate (BPM) GSR Respiration Rate Ambient Temperature'}
>> y.data
ans =
Inf 495.0000 49.9600 3.0000
Inf 495.0000 49.9600 3.0000
Inf 495.0000 23.0300 7.0000
Inf 496.0000 23.0300 7.0000
Inf 495.0000 23.0300 7.0000
Inf 496.0000 23.0300 11.0000
7.6800 496.0000 23.0300 11.0000
7.6800 496.0000 23.0300 14.0000
7.6800 496.0000 23.0300 14.0000
7.6800 496.0000 23.0300 15.0000
7.6800 496.0000 23.0300 14.0000
回应linked question
这是一个虚拟文件,因为 OP 没有任何数据:
header1|header2|header3|header4
adfads|sjk|jkghj|jdauuy2
0987yuh|mnjkhuy6|nmbhgf|0987yuh
098iuhyj|4e5rtyguh|67tyughj|oijk
要导入的代码:
filename = 'dummy.txt';
nCols = 4;
delim = '|';
colFmt = repmat('%s',1,nCols);
fid = fopen(filename,'r');
header = textscan(fid, colFmt, 1, 'delimiter', delim);
dataArray = textscan(fid, colFmt, 'delimiter', delim);
fclose(fid);
dataArray = [dataArray{:}]; % this "unpacks" the cell
在工作区中看起来像这样:
我无法在 MATLAB 中加载文本文件。我使用的代码是:
y=load('AllReadings.txt')
产生错误:
文本文件内容为:
Heart Rate (BPM) GSR Respiration Rate Ambient Temperature
inf 495 49.96 3
inf 495 49.96 3
inf 495 23.03 7
inf 496 23.03 7
inf 495 23.03 7
inf 496 23.03 11
7.68 496 23.03 11
7.68 496 23.03 14
7.68 496 23.03 14
7.68 496 23.03 15
7.68 496 23.03 14
(Editor's note: the source data is delimited using a combination of tabs and spaces, which is not visible in the rendered output, but can be seen when editing the question.)
我在R2019a上测试过,这样的文本文件可以使用importdata
:
>> y = importdata('AllReadings.txt')
y =
struct with fields:
data: [11×4 double]
textdata: {'Heart Rate (BPM) GSR Respiration Rate Ambient Temperature'}
>> y.data
ans =
Inf 495.0000 49.9600 3.0000
Inf 495.0000 49.9600 3.0000
Inf 495.0000 23.0300 7.0000
Inf 496.0000 23.0300 7.0000
Inf 495.0000 23.0300 7.0000
Inf 496.0000 23.0300 11.0000
7.6800 496.0000 23.0300 11.0000
7.6800 496.0000 23.0300 14.0000
7.6800 496.0000 23.0300 14.0000
7.6800 496.0000 23.0300 15.0000
7.6800 496.0000 23.0300 14.0000
回应linked question
这是一个虚拟文件,因为 OP 没有任何数据:
header1|header2|header3|header4
adfads|sjk|jkghj|jdauuy2
0987yuh|mnjkhuy6|nmbhgf|0987yuh
098iuhyj|4e5rtyguh|67tyughj|oijk
要导入的代码:
filename = 'dummy.txt';
nCols = 4;
delim = '|';
colFmt = repmat('%s',1,nCols);
fid = fopen(filename,'r');
header = textscan(fid, colFmt, 1, 'delimiter', delim);
dataArray = textscan(fid, colFmt, 'delimiter', delim);
fclose(fid);
dataArray = [dataArray{:}]; % this "unpacks" the cell
在工作区中看起来像这样: