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MATLAB reads files with inconsistent column numbers (1, skipping the first n rows of data, 2, reading different data in each row and column).

20 19-06-26 10: 18:27

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When reading and loading data files in MATLAB, there are many analogies between load and importdata, most of which are limited to the same number of columns in each row of file data;

However, if the first n rows of data in the data file are English or Chinese, and the rest are data with the same number of columns, then this import method is a bit bad. For example, the length of the data file is like this:

What we want to read is floating-point data with the same number of columns, which is stored in a matrix. We need to skip the first 1 1 line data (this is a point cloud file in pcd format). The code and results are as follows:

TrFid = fopen(TrPath，' r ')； % path

format string = ' % f % f % f %*[^\n]'； Type of% read data

The% parameters are file, data type, and number of rows read (optional). Skip the previous 1 1 row data, and spaces are data separators.

Ctr = textscan(TrFid, FormatString, NUM,' HeaderLines', 1 1,' delimiter','');

Ctr = cell 2 mat(Ctr)； % to matrix

fclose(TRF id)；

When we don't need to skip the previous n rows of data, but the number of columns in each row is inconsistent, we need to read each row separately and save each row of data in a separate array, such as the length of the data file:

The code and results are as follows:

% matlab reads data from different columns.

Clc is completely removed;

str = ' D:\ VS _ Files \ Lidar \ project 2 \ cloud _ point \ train _ sample \ RGB _ dataset _ PCD \ test . txt '；

FID = fopen(str)；

And ~feof(fid)% judges whether the file has reached the end.

tline = fgetl(FID)； % After reading a row of data, it will automatically move to the next row.

a = str2num(tline)

If isempty(tline)% Determines whether the row is empty.

continue

end

end

fclose(FID)；

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