How do you write a filepath into a table?

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I have searched for some answer relevent to what I am asking and cannot find anything, so any help would be appreciated. I have a strange set of data, in that the filename of the .csv does not give all of the info of what is in the data, most of the info is located in the folder names. This is not an issue when dealing with a small amount, and I can look at it manually. However I have hundreds of filepaths. So my question is, is there a way to put the data in a table with information from the folder names in the table with it? for example if the path was something like
C:\Users\JY\Desktop\Weather\Monday\Overcast.csv
can I have a table that would show
[Weather,Monday,Overcast,"data_from_.csv" ]
thanks in advance for any help on this.

采纳的回答

Voss
Voss 2022-3-4
file_names = { ...
'C:\Users\JY\Desktop\Weather\Monday\Overcast.csv'
'C:\Users\JY\Desktop\Weather\Tuesday\Sunny.csv' ...
};
% split the file names on '\' and '.' (you can use filesep() instead of '\'
% here):
new_names = cellfun(@(x)strsplit(x,{'\' '.'}),file_names,'UniformOutput',false);
new_names{:}
ans = 1×8 cell array
{'C:'} {'Users'} {'JY'} {'Desktop'} {'Weather'} {'Monday'} {'Overcast'} {'csv'}
ans = 1×8 cell array
{'C:'} {'Users'} {'JY'} {'Desktop'} {'Weather'} {'Tuesday'} {'Sunny'} {'csv'}
% Keep the last 4 parts (everything after "Desktop"):
file_info = cellfun(@(x)x(end-3:end),new_names,'UniformOutput',false);
file_info = vertcat(file_info{:})
file_info = 2×4 cell array
{'Weather'} {'Monday' } {'Overcast'} {'csv'} {'Weather'} {'Tuesday'} {'Sunny' } {'csv'}
% append the 'data_from_.' to the last column (containing 'csv'):
file_info(:,end) = strcat('data_from_.',file_info(:,end));
disp(file_info);
{'Weather'} {'Monday' } {'Overcast'} {'data_from_.csv'} {'Weather'} {'Tuesday'} {'Sunny' } {'data_from_.csv'}
% convert to an array of strings if that's what you need to use:
file_info_str = string(file_info);
disp(file_info_str);
"Weather" "Monday" "Overcast" "data_from_.csv" "Weather" "Tuesday" "Sunny" "data_from_.csv"
% or convert either one into a table:
t = array2table(file_info,'VariableNames',{'Type','Day','Category','file(?)'})
t = 2×4 table
Type Day Category file(?) ___________ ___________ ____________ __________________ {'Weather'} {'Monday' } {'Overcast'} {'data_from_.csv'} {'Weather'} {'Tuesday'} {'Sunny' } {'data_from_.csv'}
t = array2table(file_info_str,'VariableNames',{'Type','Day','Category','file(?)'})
t = 2×4 table
Type Day Category file(?) _________ _________ __________ ________________ "Weather" "Monday" "Overcast" "data_from_.csv" "Weather" "Tuesday" "Sunny" "data_from_.csv"

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