NaN matrix and selection rows with 1

use an excel table. some lines belong to two categories (example 1,2) but on matlab I have the symbol NaN. Help. Then in the matrix how can I select together the rows that contain the value 1 with those that have the value 1,2 and 1,3?
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5 件のコメント

Jan
Jan 2023 年 1 月 10 日
Please post the corresponding code you use for importing the Excel file.
the cyclist
the cyclist 2023 年 1 月 10 日
Posting a few rows of the Excel file (that includes the 1,2 values) might also be helpful.
Alessandro Camillo
Alessandro Camillo 2023 年 1 月 10 日
.xlsx
Walter Roberson
Walter Roberson 2023 年 1 月 10 日
What command did you use to read the file?
Image Analyst
Image Analyst 2023 年 1 月 10 日
If you have any more questions, then attach your .xlsx workbook and code to read it in with the paperclip icon after you read this:

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回答 (2 件)

Dongyue
Dongyue 2023 年 1 月 12 日

0 投票

You can use readcell() function:
data = readcell('your_file_name')
After that, you need to do some data preprocessing, such as change all the values in that column to string. Then find out whether '1' is in that string, and use this condition to index the row.
However, the best way I can come up with is that, change the datatype for that column into text in you Excel file, and then use readtable() function to import the data.
Walter Roberson
Walter Roberson 2023 年 1 月 12 日

0 投票

filename = 'sample_mult.csv';
type(filename)
b; n; CAT. TIP. VEG. 2.17E-05; 3.3722; 1 4.33E-05; 6.7443; 1 7.58E-05; 11.803; 2 0.000119; 18.547; 3 0.000163; 25.291; 1, 2 0.000206; 32.035; 1 0.000249; 38.78; 1, 2, 3 0.000293; 45.524; 3, 2
CATvarname = 'CAT. TIP. VEG.';
opt = detectImportOptions(filename, 'VariableNamingRule', 'Preserve');
opt = setvartype(opt, CATvarname, 'char');
data = readtable(filename, opt);
data.(CATvarname) = cellfun(@str2num, data.(CATvarname), 'uniform', 0);
Now you can
has_class = @(CLASS) cellfun(@(Row) ismember(CLASS, Row), data.(CATvarname));
matches1 = has_class(1)
matches1 = 8×1 logical array
1 1 0 0 1 1 1 0

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2023 年 1 月 10 日

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2023 年 1 月 12 日

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