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Hi,
I intend to read data from the .dat file. Here each data set is sperated by '&', so if I use below script, it just reads only the first eight rows. However, I need to read the entire data stored in the .dat file.
B=importdata('test.dat');
Output data = B.data;

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Star Strider
Star Strider 2023-10-31
How does importdata read the file? It looks like it could be some sort of fixed-width format, since everything looks to be run together (using a non-monospace font to display it).
Turbulence Analysis
Turbulence Analysis 2023-10-31
It reads based on the title in the header. The title of each column is in the first row of the .dat file.
Star Strider
Star Strider 2023-10-31
Can you use the zip function to compress it and then upload it here?

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Voss
Voss 2023-10-31
Ran in:

0 个投票

Ran in:
fn = unzip('test.zip')
fn = 1×1 cell array
{'test.dat'}
T = readtable('test.dat','FileType','text','Delimiter','\t','MultipleDelimsAsOne',true)
Warning: Column headers from the file were modified to make them valid MATLAB identifiers before creating variable names for the table. The original column headers are saved in the VariableDescriptions property.
Set 'VariableNamingRule' to 'preserve' to use the original column headers as table variable names.
T = 899×12 table
x_x T H2 N2 O2 CO H2O CO2 CH4 C2 n_image roi ___ ______ _____ ____ ____ ___ ____ ___ ___ ___ _______ ___ 0 293.18 99.7 0.11 0.1 -1 0.1 -1 -1 -1 1 0 1 297.42 99.64 0.2 0.08 -1 0.08 -1 -1 -1 1 1 2 296.23 99.74 0.1 0.08 -1 0.07 -1 -1 -1 1 2 3 297.42 99.48 0.19 0.26 -1 0.07 -1 -1 -1 1 3 4 290.86 99.7 0.08 0.14 -1 0.08 -1 -1 -1 1 4 5 297.43 99.68 0.16 0.08 -1 0.08 -1 -1 -1 1 5 6 288.27 99.49 0.09 0.27 -1 0.15 -1 -1 -1 1 6 7 288.65 99.68 0.11 0.11 -1 0.11 -1 -1 -1 1 7 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 0 1 293.08 99.7 0.14 0.08 -1 0.08 -1 -1 -1 2 1 2 299.51 99.72 0.08 0.1 -1 0.1 -1 -1 -1 2 2 3 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 3 4 287.08 99.72 0.12 0.08 -1 0.08 -1 -1 -1 2 4 5 292.26 99.76 0.08 0.08 -1 0.08 -1 -1 -1 2 5 6 291.93 99.48 0.16 0.09 -1 0.27 -1 -1 -1 2 6

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