Dealing with Duration format

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Leonardo
Leonardo am 22 Jan. 2026 um 14:48
Bearbeitet: dpb vor etwa 4 Stunden
I have a file containing the values of the position of the body's center of pressure, calculated during the trial. I would like to plot the time elapsed (which has the format '0:0:0:064') vs the position. When I open the file (.xlsx) with "readtable", it reads me all the values as "string" and not numbers. I tried to solve this with "str2double", and while this works for the position column, is useless for the time elapsed. When I change the extension (i.e. .csv orb .txt) it converts all the durations into NaNs, even though in the "Import Data" mask it is written at the top of the time elapsed column "duration". As a result, I cannot plot the time on the x-axis.
If I run this piece of code for example:
data = readtable("AdaptationTestProva.xlsx");
x = str2double(data.x_StaticVR_RawMediolateralAxis);
y = str2double(data.TimeElapsed);
plot(y,x)
I get an empty graph.
What can I do to get a standard graph with a usable elapsed time?
If this can be helpful, I'll leave attached an example of the file.
  3 Kommentare
Leonardo
Leonardo am 2 Feb. 2026 um 16:28
Fixing the broken code it's impossible I guess, because I got it from a medical device which automatically generates it. Furthermore, manually subsituting the character would be incovenient since I'm planning to repeat this test for multiple subjects.
dpb
dpb am 2 Feb. 2026 um 17:23
"... it's impossible I guess, because I got it from a medical device which automatically generates it."
I was afeered of such. If were my device, I'd undoubtedly write a nasty note to the vendor. <vbg>
Another alternative is to write just a very simple filter routine that reads the file as text and spits it back out corretly formatted.
I'd probably also submit the issue about the extra column and overly aggressive interpretation of the duration as enhancement/implementation cleanups to Mathworks.

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Akzeptierte Antwort

Stephen23
Stephen23 am 22 Jan. 2026 um 16:21
Bearbeitet: Stephen23 am 22 Jan. 2026 um 16:21
F = 'AdaptationTestProva.csv';
H = readtable(F, 'Delimiter',',', 'Range','1:2');
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 = readtable(F, 'Delimiter',{',',':'}, 'HeaderLines',1, 'MissingRule','omitrow');
T = renamevars(T, 5:11, H.Properties.VariableNames(2:8))
T = 6687×11 table
Var1 Var2 Var3 Var4 x_StaticVR_RawMediolateralAxis x_StaticVR_RawAnterioposteriorAxis x_StaticVR_SmoothedMediolateralAxis x_StaticVR_SmoothedAnterioposteriorAxis x_MotionVR_Pitch x_MotionVR_Roll x_MotionVR_Heave ____ ____ ____ ____ ______________________________ __________________________________ ___________________________________ _______________________________________ ________________ _______________ ________________ 0 0 0 64 0.0083129 -0.32387 0.069267 -0.38223 0 0 0 0 0 0 69 0.0084821 -0.32242 0.063135 -0.37889 0 0 0 0 0 0 71 0.0084821 -0.32242 0.060928 -0.37659 0 0 0 0 0 0 86 0.0092612 -0.3183 0.05845 -0.37413 0 0 0 0 0 0 101 0.0087869 -0.31415 0.055607 -0.37141 0 0 0 0 0 0 116 0.0075698 -0.31103 0.05236 -0.3685 0 0 0 0 0 0 132 0.0062145 -0.3084 0.050079 -0.36577 0 0 0 0 0 0 148 0.0068518 -0.30291 0.047467 -0.36278 0 0 0 0 0 0 163 0.0057561 -0.3011 0.044898 -0.35979 0 0 0 0 0 0 178 0.0037245 -0.29451 0.042346 -0.3566 0 0 0 0 0 0 195 0.0028524 -0.2934 0.039851 -0.35346 0 0 0 0 0 0 211 0.00042633 -0.29119 0.037342 -0.3503 0 0 0 0 0 0 228 -0.0041243 -0.28644 0.035215 -0.34769 0 0 0 0 0 0 245 -0.0060033 -0.28237 0.032185 -0.34369 0 0 0 0 0 0 261 -0.0064748 -0.2806 0.029692 -0.34036 0 0 0 0 0 0 278 -0.0089898 -0.2778 0.027194 -0.33702 0 0 0
D = duration(T.Var1,T.Var2,T.Var3,T.Var4); % check the units
plot(D, T.x_StaticVR_RawMediolateralAxis)
  2 Kommentare
Leonardo
Leonardo am 2 Feb. 2026 um 16:25
This solutions seems to work fine, thank you! Just out of curiosity, there where some extra lines at the end of the table which I didn't notice, but the code work anyway. How is it possible?
dpb
dpb am 2 Feb. 2026 um 16:52
Bearbeitet: dpb am 3 Feb. 2026 um 20:03
T = readtable(F, 'Delimiter',{',',':'}, 'HeaderLines',1, 'MissingRule','omitrow');
The 'MissingRule','omitrow' is the trick when the file is read the second time ignoring the header line. Since the extra lines are at the end in a large file, the pre-inspection code that determines the file content to figure out how to read it doesn't go all the way to the end of the file and so sees all the columns at the beginning. Then 'Delimiter' splits the duration field into its pieces-parts by adding the colon to the set of default delimiters for a .csv file.
Consequently, when the read operation does get to the extra lines at the bottom that don't have full number of fields, those rows are omitted.(*)
Clever at the expense of the double-opening/closing of the file to parse the header line independently which isn't a noticeable overhead, just a little annoyance to need to work around the issues in the file formatting.
(*) Note that this won't work if the duration fields were not split but read as a cellstring or even if they were properly formatted and interpreted as the duration. Then there would still be the correct number of columns for the statistics at the bottom of the file and the duration conversion would fail on the text in those lines in the first column. One would have to have the 'OnError' condition set to 'omitrow' for those so it would not fail with an error.

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Weitere Antworten (3)

Steven Lord
Steven Lord am 22 Jan. 2026 um 15:51
Use detectImportOptions to see how MATLAB would decide to import the data by default based on the contents of the file. Once you have the options object, you can change properties of the import options object to change how MATLAB imports the data.
opts = detectImportOptions("patients.xls")
opts =
SpreadsheetImportOptions with properties: Sheet Properties: Sheet: '' Replacement Properties: MissingRule: 'fill' ImportErrorRule: 'fill' MergedCellColumnRule: 'placeleft' MergedCellRowRule: 'placetop' Variable Import Properties: Set types by name using setvartype VariableNames: {'LastName', 'Gender', 'Age' ... and 7 more} VariableTypes: {'char', 'char', 'double' ... and 7 more} SelectedVariableNames: {'LastName', 'Gender', 'Age' ... and 7 more} VariableOptions: [1-by-10 matlab.io.VariableImportOptions] Access VariableOptions sub-properties using setvaropts/getvaropts VariableNamingRule: 'modify' Range Properties: DataRange: 'A2' (Start Cell) VariableNamesRange: 'A1' RowNamesRange: '' VariableUnitsRange: '' VariableDescriptionsRange: '' To display a preview of the table, use preview
For example, let's say you wanted to read in this spreadsheet but have Gender specified as a categorical array rather than a char vector. Since it's the second variable in the data, use setvartype with the options object, the variable number 2, and the desired type as inputs.
opts = setvartype(opts, 2, 'categorical');
Now when we import the data, the Gender variable is a categorical array.
data = readtable("patients.xls", opts);
head(data) % Show just the first few rows
LastName Gender Age Location Height Weight Smoker Systolic Diastolic SelfAssessedHealthStatus ____________ ______ ___ _____________________________ ______ ______ ______ ________ _________ ________________________ {'Smith' } Male 38 {'County General Hospital' } 71 176 true 124 93 {'Excellent'} {'Johnson' } Male 43 {'VA Hospital' } 69 163 false 109 77 {'Fair' } {'Williams'} Female 38 {'St. Mary's Medical Center'} 64 131 false 125 83 {'Good' } {'Jones' } Female 40 {'VA Hospital' } 67 133 false 117 75 {'Fair' } {'Brown' } Female 49 {'County General Hospital' } 64 119 false 122 80 {'Good' } {'Davis' } Female 46 {'St. Mary's Medical Center'} 68 142 false 121 70 {'Good' } {'Miller' } Female 33 {'VA Hospital' } 64 142 true 130 88 {'Good' } {'Wilson' } Male 40 {'VA Hospital' } 68 180 false 115 82 {'Good' }
class(data.Gender)
ans = 'categorical'
If I'd used the default options, MATLAB would have read Gender as text data (a cell array of char vectors) rather than categorical.
data2 = readtable("patients.xls");
head(data2)
LastName Gender Age Location Height Weight Smoker Systolic Diastolic SelfAssessedHealthStatus ____________ __________ ___ _____________________________ ______ ______ ______ ________ _________ ________________________ {'Smith' } {'Male' } 38 {'County General Hospital' } 71 176 true 124 93 {'Excellent'} {'Johnson' } {'Male' } 43 {'VA Hospital' } 69 163 false 109 77 {'Fair' } {'Williams'} {'Female'} 38 {'St. Mary's Medical Center'} 64 131 false 125 83 {'Good' } {'Jones' } {'Female'} 40 {'VA Hospital' } 67 133 false 117 75 {'Fair' } {'Brown' } {'Female'} 49 {'County General Hospital' } 64 119 false 122 80 {'Good' } {'Davis' } {'Female'} 46 {'St. Mary's Medical Center'} 68 142 false 121 70 {'Good' } {'Miller' } {'Female'} 33 {'VA Hospital' } 64 142 true 130 88 {'Good' } {'Wilson' } {'Male' } 40 {'VA Hospital' } 68 180 false 115 82 {'Good' }
class(data2.Gender)
ans = 'cell'
The VariableOptions can give you additional control over how certain inputs are handled. For example, if you had a column in your data that had a fixed set of values and those values had a specified order ('small', 'medium', 'large') you could change the Categories and Ordinal properties of the object to make MATLAB respect that fixed set and the ordering rather than defining the categories in alphabetical order ('large', 'medium', 'small').
optionsForLastName = getvaropts(opts, 1)
optionsForLastName =
TextVariableImportOptions with properties: Variable Properties: Name: 'LastName' Type: 'char' FillValue: '' TreatAsMissing: {} QuoteRule: 'remove' Prefixes: {} Suffixes: {} EmptyFieldRule: 'missing' String Options: WhitespaceRule: 'trim'
optionsForGender = getvaropts(opts, 2)
optionsForGender =
CategoricalVariableImportOptions with properties: Variable Properties: Name: 'Gender' Type: 'categorical' FillValue: <undefined> TreatAsMissing: {} QuoteRule: 'remove' Prefixes: {} Suffixes: {} EmptyFieldRule: 'missing' Categorical Options: Categories: {} Protected: 0 Ordinal: 0
  3 Kommentare
Steven Lord
Steven Lord am 2 Feb. 2026 um 18:20
Okay. In that case, reading it in as a string and post-processing it once it's in MATLAB is an option.
S = ["01:23:45:678"; "98:07:06:543"]
S = 2×1 string array
"01:23:45:678" "98:07:06:543"
components = double(split(S, ":"))
components = 2×4
1 23 45 678 98 7 6 543
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
% either
d = duration(components(:, 1), ...
components(:, 2), ...
components(:, 3), ...
components(:, 4), ...
Format = "hh:mm:ss.SSS")
d = 2×1 duration array
01:23:45.678 98:07:06.543
dpb
dpb am 2 Feb. 2026 um 21:37
Yes, that's what @Stephen23 did on his second pass except he had textread split on reading by setting the 'Delimiter' parameter to include the colon.
It's what my first Anwer does as well; it specifically does import the first column as the cellstr() but instead of splitting replaces the last colon with the period so the duration can then be parsed.
My second Answer does the same in a different fashion by filtering the file first to fix up the formatting -- that also in essence reads the file as string first. Once formatted to match expectations, then readtable has no trouble reading the file directly.
However, I did run across an anomaly in readtable in that if I created an import object and set the 'MissingRule','omitvar' in it and then used 'PreserveVariableNames',1 in the call to readtable as
d=dir('*.csv');
opt=detectImportOptions(d.name);
opt.MissingRule='omitvar';
tData=readtable(d.name,'PreserveVariableNames',1);
head(tData,5)
Time elapsed [StaticVR] Raw mediolateral axis [StaticVR] Raw anterioposterior axis [StaticVR] Smoothed mediolateral axis [StaticVR] Smoothed anterioposterior axis [MotionVR] Pitch [MotionVR] Roll [MotionVR] Heave Column9 ____________ ________________________________ ____________________________________ _____________________________________ _________________________________________ ________________ _______________ ________________ _______ NaN 0.0083129 -0.32387 0.069267 -0.38223 0 0 0 NaN NaN 0.0084821 -0.32242 0.063135 -0.37889 0 0 0 NaN NaN 0.0084821 -0.32242 0.060928 -0.37659 0 0 0 NaN NaN 0.0092612 -0.3183 0.05845 -0.37413 0 0 0 NaN NaN 0.0087869 -0.31415 0.055607 -0.37141 0 0 0 NaN
it succeeds albeit as we know the durations aren't parsed correctly, However, if one uses
try
tData=readtable(d.name,opt,'PreserveVariableNames',1);
catch
tData=readtable(d.name,opt,'VariableNamingRule','preserve');
end
it fails that it can't figure out what to do with either form of the parameter?.

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dpb
dpb am 24 Jan. 2026 um 15:50
Bearbeitet: dpb am 24 Jan. 2026 um 17:34
Just as an alternative to reformat the duration string -- uses a regexrep expression to do the character substitution (yes, I had to ask for the propert syntax). It also shows a way with higher level string operations since none of the strrep functions have an optional position or count input that uses the expedient of splitting the cellstr into its fields and then rebuilds the string with the expected form.
d=dir('*.csv');
type(d.name)
Time elapsed,[StaticVR] Raw mediolateral axis,[StaticVR] Raw anterioposterior axis,[StaticVR] Smoothed mediolateral axis,[StaticVR] Smoothed anterioposterior axis,[MotionVR] Pitch,[MotionVR] Roll,[MotionVR] Heave,Column9 0:0:0:064,0.008312871,-0.3238736,0.06926663,-0.3822327,0,0,0, 0:0:0:069,0.008482071,-0.3224238,0.06313481,-0.3788878,0,0,0, 0:0:0:071,0.008482071,-0.3224238,0.06092834,-0.3765862,0,0,0, 0:0:0:086,0.009261181,-0.3182979,0.05845015,-0.3741281,0,0,0, 0:0:0:101,0.008786921,-0.3141453,0.0556073,-0.3714077,0,0,0, 0:0:0:116,0.007569809,-0.3110337,0.05236021,-0.3685002,0,0,0, 0:0:0:132,0.006214545,-0.3083975,0.05007893,-0.3657719,0,0,0, 0:0:0:148,0.006851753,-0.302915,0.04746696,-0.3627816,0,0,0, 0:0:0:163,0.005756123,-0.3010997,0.04489792,-0.3597902,0,0,0, 0:0:0:178,0.003724476,-0.2945083,0.04234575,-0.3566037,0,0,0, 0:0:0:195,0.002852431,-0.2933992,0.03985069,-0.3534635,0,0,0, 0:0:0:211,0.0004263331,-0.2911939,0.03734249,-0.3502986,0,0,0, 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0:0:30:661,-0.0007561891,-0.2633858,-0.0002279611,-0.2572427,0,0,0, 0:0:30:677,0.0006449174,-0.2642684,-0.0002052483,-0.2577503,0,0,0, 0:0:30:695,0.0007413945,-0.2644519,-0.0001784723,-0.258243,0,0,0, 0:0:30:711,0.003693845,-0.2631425,-3.43817E-05,-0.2586699,0,0,0, 0:0:30:728,0.003698846,-0.2638468,9.251804E-05,-0.2591171,0,0,0, 0:0:30:745,0.005172675,-0.2657751,0.0002813048,-0.2596103,0,0,0, 0:0:30:761,0.003644461,-0.2653061,0.0004063292,-0.2600712,0,0,0, 0:0:30:778,0.002947866,-0.2663313,0.0004994724,-0.260549,0,0,0, 0:0:30:795,0.004636529,-0.2649849,0.0006505435,-0.2609598,0,0,0, 0:0:30:811,0.003144572,-0.2644103,0.0007441034,-0.2613203,0,0,0, 0:0:30:829,0.003888466,-0.2662611,0.0008655855,-0.261729,0,0,0, 0:0:30:845,0.001874741,-0.2660634,0.0008880898,-0.2621363,0,0,0, 0:0:30:862,0.002199179,-0.2679491,0.00093...
Besides the malformed duration field, there's an extra delimiter at the end of each line...
opt=detectImportOptions(d.name,'ExpectedNumVariables',8) % without the count it still added the extra column???
opt =
DelimitedTextImportOptions with properties: Format Properties: Delimiter: {','} Whitespace: '\b\t ' LineEnding: {'\n' '\r' '\r\n'} CommentStyle: {} ConsecutiveDelimitersRule: 'split' LeadingDelimitersRule: 'keep' TrailingDelimitersRule: 'ignore' EmptyLineRule: 'skip' Encoding: 'UTF-8' Replacement Properties: MissingRule: 'fill' ImportErrorRule: 'fill' ExtraColumnsRule: 'ignore' Variable Import Properties: Set types by name using setvartype VariableNames: {'TimeElapsed', 'x_StaticVR_RawMediolateralAxis', 'x_StaticVR_RawAnterioposteriorAxis' ... and 5 more} VariableTypes: {'duration', 'double', 'double' ... and 5 more} SelectedVariableNames: {'TimeElapsed', 'x_StaticVR_RawMediolateralAxis', 'x_StaticVR_RawAnterioposteriorAxis' ... and 5 more} VariableOptions: [1-by-8 matlab.io.VariableImportOptions] Access VariableOptions sub-properties using setvaropts/getvaropts VariableNamingRule: 'modify' Location Properties: DataLines: [2 Inf] VariableNamesLine: 1 RowNamesColumn: 0 VariableUnitsLine: 0 VariableDescriptionsLine: 0 To display a preview of the table, use preview
opt.VariableTypes % it is insistent that the first column should be a duration
ans = 1×8 cell array
{'duration'} {'double'} {'double'} {'double'} {'double'} {'double'} {'double'} {'double'}
opt.VariableTypes(1)={'char'}; % tell it otherwise
opt.ExtraColumnsRule='ignore'; % forget the trailing delimiter
opt.MissingRule='omitrow'; % get rid of the NaN double data
tData=readtable(d.name,opt);
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.
[head(tData,4);tail(tData,4)] % show what we got
ans = 8×8 table
TimeElapsed x_StaticVR_RawMediolateralAxis x_StaticVR_RawAnterioposteriorAxis x_StaticVR_SmoothedMediolateralAxis x_StaticVR_SmoothedAnterioposteriorAxis x_MotionVR_Pitch x_MotionVR_Roll x_MotionVR_Heave _____________ ______________________________ __________________________________ ___________________________________ _______________________________________ ________________ _______________ ________________ {'0:0:0:064'} 0.0083129 -0.32387 0.069267 -0.38223 0 0 0 {'0:0:0:069'} 0.0084821 -0.32242 0.063135 -0.37889 0 0 0 {'0:0:0:071'} 0.0084821 -0.32242 0.060928 -0.37659 0 0 0 {'0:0:0:086'} 0.0092612 -0.3183 0.05845 -0.37413 0 0 0 {'Average' } -0.006059 -0.23259 -0.0057321 -0.23299 -4.7923e-05 0 0 {'Amplitude'} 1.9897 1.0242 1.1609 0.56761 1.3559 0 0 {'Length' } 23.726 26.205 8.6308 11.34 13.559 0 0 {'Frequency'} 1.52 0.035765 0.035765 0.035765 0.017883 0.017883 0.017883
Ohhhh! There's maybe one problem -- there's more data at the bottom of the file we didn't know about.
We'll just save that as something else if need those data, too...
tStats=tData(end-3:end,:);
tData=tData(1:end-4,:);
%hmsdata=compose('%d:%d:%d.%03d',str2double(split(tData.TimeElapsed,':'))); % reformat
hmsdata=regexprep(tData.TimeElapsed,':(?!.*:)','.'); % or with reg expression
tData.TimeElapsed=duration(hmsdata);
tData.TimeElapsed.Format='hh:mm:ss.SSS'; % set format to show fractional sec
[head(tData,4); tail(tData,4)]
ans = 8×8 table
TimeElapsed x_StaticVR_RawMediolateralAxis x_StaticVR_RawAnterioposteriorAxis x_StaticVR_SmoothedMediolateralAxis x_StaticVR_SmoothedAnterioposteriorAxis x_MotionVR_Pitch x_MotionVR_Roll x_MotionVR_Heave ____________ ______________________________ __________________________________ ___________________________________ _______________________________________ ________________ _______________ ________________ 00:00:00.064 0.0083129 -0.32387 0.069267 -0.38223 0 0 0 00:00:00.069 0.0084821 -0.32242 0.063135 -0.37889 0 0 0 00:00:00.071 0.0084821 -0.32242 0.060928 -0.37659 0 0 0 00:00:00.086 0.0092612 -0.3183 0.05845 -0.37413 0 0 0 00:01:52.192 -0.034374 -0.25181 -0.038742 -0.24333 0 0 0 00:01:52.209 -0.034985 -0.2534 -0.038574 -0.24377 0 0 0 00:01:52.226 -0.035233 -0.25455 -0.038407 -0.24425 0 0 0 00:01:52.242 -0.035931 -0.25468 -0.038281 -0.24472 0 0 0
  2 Kommentare
Leonardo
Leonardo am 2 Feb. 2026 um 16:20
Bearbeitet: Leonardo am 2 Feb. 2026 um 16:23
This solution isn't working properly, there's seems to be an issue with the opt=detectImportOptions(d.name,'ExpectedNumVariables',8) line. The error that I get is:
All parameters must have an associated value.
Error in
opt=detectImportOptions(d.name,'ExpectedNumVariables',8)"
I even tried with
data = readtable("AdaptationTestProva.csv")
opt=detectImportOptions(d.name,'ExpectedNumVariables',8)
but it doesn't work anyway.
Edit:
The extra lines at the end of the file (which I noticed after) can be removed. But even when removed, the issue remains.
dpb
dpb am 2 Feb. 2026 um 17:01
Bearbeitet: dpb am 3 Feb. 2026 um 17:20
d=dir('*.csv');
opt=detectImportOptions(d.name,'ExpectedNumVariables',8)
opt =
DelimitedTextImportOptions with properties: Format Properties: Delimiter: {','} Whitespace: '\b\t ' LineEnding: {'\n' '\r' '\r\n'} CommentStyle: {} ConsecutiveDelimitersRule: 'split' LeadingDelimitersRule: 'keep' TrailingDelimitersRule: 'ignore' EmptyLineRule: 'skip' Encoding: 'UTF-8' Replacement Properties: MissingRule: 'fill' ImportErrorRule: 'fill' ExtraColumnsRule: 'ignore' Variable Import Properties: Set types by name using setvartype VariableNames: {'TimeElapsed', 'x_StaticVR_RawMediolateralAxis', 'x_StaticVR_RawAnterioposteriorAxis' ... and 5 more} VariableTypes: {'duration', 'double', 'double' ... and 5 more} SelectedVariableNames: {'TimeElapsed', 'x_StaticVR_RawMediolateralAxis', 'x_StaticVR_RawAnterioposteriorAxis' ... and 5 more} VariableOptions: [1-by-8 matlab.io.VariableImportOptions] Access VariableOptions sub-properties using setvaropts/getvaropts VariableNamingRule: 'modify' Location Properties: DataLines: [2 Inf] VariableNamesLine: 1 RowNamesColumn: 0 VariableUnitsLine: 0 VariableDescriptionsLine: 0 To display a preview of the table, use preview
It works here -- what release/OS are you using?
However, I'd suggest my later alternative of filtering the input file first is more simple in handling the extra lines transparently.

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dpb
dpb am 2 Feb. 2026 um 19:27
Bearbeitet: dpb am 2 Feb. 2026 um 20:00
An alternative with filter first that also reads the file twice but then the parsing is trivial.
I just noticed that there is a Column9 in the header row so the trailing comma on the data records isn't spurious as I had thought earlier. That's taken care of by a 'MissingRule' parameter...
d=dir('*.csv');
fidi=fopen(d.name,'r'); % open original
fntemp=fullfile(tempdir,d.name); % make a temporary filename
fido=fopen(fntemp,'w'); % open it to write
l=fgets(fidi); % get the header line, include newline
fwrite(fido,l,'char'); % copy to new file
while ~feof(fidi) % as long as there's more data...
l=fgets(fidi); % next line
if ~contains(l,':'), break, end % if it doesn't contain a duration field, we're done
l=regexprep(l,':(?!.*:)','.'); % fixup the duration formatting
fwrite(fido,l,'char'); % write corrected line
end
fidi=fclose(fidi); % close both files
fido=fclose(fido);
movefile(fntemp,d.name); % rename temp to original for convenience
clear fidi fido fntemp % get rid of temporaries
tData=readtable(d.name,'MissingRule','omitvar','VariableNamingRule','preserve');
[head(tData,5); tail(tData,5)]
ans = 10×8 table
Time elapsed [StaticVR] Raw mediolateral axis [StaticVR] Raw anterioposterior axis [StaticVR] Smoothed mediolateral axis [StaticVR] Smoothed anterioposterior axis [MotionVR] Pitch [MotionVR] Roll [MotionVR] Heave ____________ ________________________________ ____________________________________ _____________________________________ _________________________________________ ________________ _______________ ________________ 00:00:00.064 0.0083129 -0.32387 0.069267 -0.38223 0 0 0 00:00:00.069 0.0084821 -0.32242 0.063135 -0.37889 0 0 0 00:00:00.071 0.0084821 -0.32242 0.060928 -0.37659 0 0 0 00:00:00.086 0.0092612 -0.3183 0.05845 -0.37413 0 0 0 00:00:00.101 0.0087869 -0.31415 0.055607 -0.37141 0 0 0 00:01:52.175 -0.03478 -0.25229 -0.038932 -0.24296 0 0 0 00:01:52.192 -0.034374 -0.25181 -0.038742 -0.24333 0 0 0 00:01:52.209 -0.034985 -0.2534 -0.038574 -0.24377 0 0 0 00:01:52.226 -0.035233 -0.25455 -0.038407 -0.24425 0 0 0 00:01:52.242 -0.035931 -0.25468 -0.038281 -0.24472 0 0 0
stackedplot(tData,'XVariable',1)
  3 Kommentare
dpb
dpb am 5 Feb. 2026 um 12:56
Bearbeitet: dpb vor etwa 3 Stunden
You do NOT run the filter more than once. As written, you'll end up changing yet another colon to a period if you do which then reintroduces a (different) bad format. I thought that would be clear from the code comments. Once you've read the data, you've already got it -- save it in .mat file, don't read the same data over and over.
For safety and if you do for some reason want to do that and keep the original, name the output file something different and don't copy it back into the original (the movefile line does that)
Of course, if you do use a different name, then the second part of the code to create the table must use that other file name, not the original.
I presumed the above was obvious from the code itself so didn't mention it, sorry.
If I had the situation, I'd separate the filter into a separate function and probably add a flag about whether to save or overwrite the original files. And, of course, a general principle is to always create a backup of files that are not easily reproducible in some safe location before munging around on the originals.
The underlying question on how to do this efficiently is whether it is wanted/needed to keep the extra data after the time series data at all or not. If not, the first way of renaming the file is most efficient and convenient in not duplicating files, but if are going to read the resulting file multiple times, then don't preprocess them the second time.
Alternatively, forget about saving the temporary preprocessed files at the expense of doing the extra conversion work every time.
The key is you have to pay attention to what you're actually doing and make conscious decision about what to do and why, not just blindly run other's code without understanding what you're doing.
d=dir('*.csv');
fidi=fopen(d.name,'r'); % open original
fntemp=fullfile(tempdir,d.name); % make a temporary filename
fido=fopen(fntemp,'w'); % open it to write
l=fgets(fidi); % get the header line, include newline
fwrite(fido,l,'char'); % copy to new file
while ~feof(fidi) % as long as there's more data...
l=fgets(fidi); % next line
if ~contains(l,':'), break, end % if it doesn't contain a duration field, we're done
l=regexprep(l,':(?!.*:)','.'); % fixup the duration formatting
fwrite(fido,l,'char'); % write corrected line
end
fidi=fclose(fidi); % close both files
fido=fclose(fido);
%movefile(fntemp,d.name); % rename temp to original for convenience
clear fidi fido % get rid of temporaries -need new file name still
tData=readtable(fntemp,'MissingRule','omitvar','VariableNamingRule','preserve'); % process the temporary file instead
[head(tData,5); tail(tData,5)]
stackedplot(tData,'XVariable',1)
dpb
dpb am 5 Feb. 2026 um 20:13
Bearbeitet: dpb vor 41 Minuten
function [fnClean]=fixduration(fnOriginal,overwrite)
% filter to convert bad duration format of colon in place of period for fractional seconds
% returns new file name of cleaned file for further processing
% INPUTS
% fnOriginal - original file name from device vendor with bum duration format
% overwriteflag - if true, replace original file with clean version (default false)
% USAGE
% fnameClean=fixduration(originalFile[,replaceflag])
pat=[repmat(digitsPattern(1,2)+":",1,3) digitsPattern(3,3)]; % bad duration pattern
msg='File appears to have already been converted. Aborting.'; % error message if bad
if nargin<2, overwrite=false; end % set defatult to preserve original
fidi=fopen(fnOriginal,'r'); % open original
fntemp=fullfile(tempdir,fnOriginal); % make a temporary filename
fnClean=fntemp; % default is clean version in temp folder
fido=fopen(fntemp,'w'); % open it to write
l=fgets(fidi); % get the header line, include newline
fwrite(fido,l,'char'); % copy to new file
while ~feof(fidi) % as long as there's more data...
l=fgets(fidi); % next line
try
assert(startsWith(l,pat),msg) % ensure contains expected wrong pattern
catch ME % clean up if aborting...
fidi=fclose(fidi);
fido=fclose(fido);
fnClean=[];
delete(fntemp)
disp(ME.message)
return
end
if ~contains(l,':'), break, end % if it doesn't contain a duration field, we're done
l=regexprep(l,':(?!.*:)','.'); % fixup the duration formatting
fwrite(fido,l,'char'); % write corrected line
end
fidi=fclose(fidi); % close both files
fido=fclose(fido);
if overwrite % rename temp to original per user request
movefile(fntemp,fnOriginal);
fnClean=fnOriginal; % cleaned version replaced original, it's gone
end
end
NOTA BENE: The above if don't overwrite originals leaves the cleaned files in the temp folder with the same name as the original for identification. It's up to the user to decide what to do about housekeeping with two copies to keep them straight.
In the case of renaming the clean file to the original, the temporary file is renamed so only the one cleaned up file remains. One wise move would be to create a backup copy of the originals somewhere first, of course.

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