Contents
Beispiel zu Kapitel 20: Tall Array
Matlab Kompakt 7. Auflage W. Schweizer 07/2021
% Erstellen eines DataStore-Objekts ds = datastore('DataStoreBsp.csv','NumHeaderLines',3,'TreatAsMissing','-'); VN = ds.VariableNames; % VariablenNamen dst = tall(ds); % Tall-Array VN4 = VN{4}; sum(gather(isnan(dst.(VN4)))) % Liegen NaNs vor? % entweder dst.t179 oder dst.(VN4) da VN4 3in Charakter-Vektor ist mit dem % Varibalennamen % Erstellen mehrerer Histogramme n = length(VN); figure('Position',[522 558 1277 420]) for k = 1:n subplot(1,n,k) histogram(dst.(VN{k})) title(VN{k}) end % Evaluating tall expression using the Local MATLAB Session: % - Pass 1 of 2: Completed in 0.047 sec % - Pass 2 of 2: Completed in 0.027 sec % Evaluation completed in 0.25 sec % ...
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 1: Completed in 0.37 sec
Evaluation completed in 0.41 sec
ans =
52
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 2: Completed in 0.38 sec
- Pass 2 of 2: Completed in 0.12 sec
Evaluation completed in 1.1 sec
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 2: Completed in 0.094 sec
- Pass 2 of 2: Completed in 0.08 sec
Evaluation completed in 0.41 sec
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 2: Completed in 0.079 sec
- Pass 2 of 2: Completed in 0.031 sec
Evaluation completed in 0.3 sec
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 2: Completed in 0.051 sec
- Pass 2 of 2: Completed in 0.03 sec
Evaluation completed in 0.26 sec
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 2: Completed in 0.059 sec
- Pass 2 of 2: Completed in 0.029 sec
Evaluation completed in 0.28 sec
Evaluating tall expression using the Local MATLAB Session:
- Pass 1 of 2: Completed in 0.051 sec
- Pass 2 of 2: Completed in 0.03 sec
Evaluation completed in 0.28 sec