trying to pad smaller table to larger table

조회 수: 14(최근 30일)
isamh
isamh 2020년 11월 2일
댓글: Adam Danz 2020년 11월 8일
i have a csv file that table thats a (20 x 30,0000) and i calculated data thats (1 x 27) and need to add that to that csv file. im stuck on what to do and cant seem to figure this out.
code is:
im sure im doing something wrong but have no clue what it could be.
Table1 = [Speed_50_1, Speed_50_2, Speed_55_1, Speed_55_2, Speed_60_1, Speed_60_2, Speed_65_1, Speed_65_2, Speed_70];
PD = padarray(Table1,[1,0],0)
T_preserve = readtable('Tesla_Steady_State_027.csv','Delimiter',',');
T_new = [T_preserve, PD];
writetable(T_new, 'Tesla_Steady_State_027.csv');
  댓글 수: 1
Walter Roberson
Walter Roberson 2020년 11월 2일
i have a csv file that table thats a (20 x 30,0000)
Could you confirm that you have a table that has 20 rows with 30000 variables? And that you want to add one row with 27 variables?

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채택된 답변

Adam Danz
Adam Danz 2020년 11월 2일
편집: Adam Danz 2020년 11월 2일
Padding & horizontally concatenating tables
As of r2020b, padarray does not support table inputs. Use outerjoin() to horizontally concatenate and pad tables with different numbers of rows (or columns).
Here's a demo
% Table T1 is 5x3
% Table T2 is 3x4
T1 = array2table(rand(5,3),'VariableNames',{'a' 'b' 'c'})
T1 = 5x3 table
a b c _______ ________ _______ 0.48834 0.037879 0.90083 0.331 0.40246 0.78311 0.86148 0.41245 0.24863 0.42455 0.049638 0.46388 0.99029 0.57911 0.71199
T2 = array2table(rand(3,4),'VariableNames',{'d', 'e' 'f', 'g'})
T2 = 3x4 table
d e f g _______ ________ ________ _______ 0.45315 0.083668 0.5282 0.37319 0.81502 0.98497 0.33396 0.999 0.70467 0.35012 0.029792 0.81679
% Add temporary key to each table
T1.KEY = (1:height(T1))'
T1 = 5x4 table
a b c KEY _______ ________ _______ ___ 0.48834 0.037879 0.90083 1 0.331 0.40246 0.78311 2 0.86148 0.41245 0.24863 3 0.42455 0.049638 0.46388 4 0.99029 0.57911 0.71199 5
T2.KEY = (1:height(T2))'
T2 = 3x5 table
d e f g KEY _______ ________ ________ _______ ___ 0.45315 0.083668 0.5282 0.37319 1 0.81502 0.98497 0.33396 0.999 2 0.70467 0.35012 0.029792 0.81679 3
% Join tables
T = outerjoin(T1,T2, 'Keys', 'KEY')
T = 5x9 table
a b c KEY_T1 d e f g KEY_T2 _______ ________ _______ ______ _______ ________ ________ _______ ______ 0.48834 0.037879 0.90083 1 0.45315 0.083668 0.5282 0.37319 1 0.331 0.40246 0.78311 2 0.81502 0.98497 0.33396 0.999 2 0.86148 0.41245 0.24863 3 0.70467 0.35012 0.029792 0.81679 3 0.42455 0.049638 0.46388 4 NaN NaN NaN NaN NaN 0.99029 0.57911 0.71199 5 NaN NaN NaN NaN NaN
% Remove KEY columns
T(:, cumsum([width(T1), width(T2)])) = []
T = 5x7 table
a b c d e f g _______ ________ _______ _______ ________ ________ _______ 0.48834 0.037879 0.90083 0.45315 0.083668 0.5282 0.37319 0.331 0.40246 0.78311 0.81502 0.98497 0.33396 0.999 0.86148 0.41245 0.24863 0.70467 0.35012 0.029792 0.81679 0.42455 0.049638 0.46388 NaN NaN NaN NaN 0.99029 0.57911 0.71199 NaN NaN NaN NaN
  댓글 수: 27
Adam Danz
Adam Danz 2020년 11월 3일
I don't understand. Please attach the file. If the file is too large, delete most of the rows.

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추가 답변(1개)

Walter Roberson
Walter Roberson 2020년 11월 2일
The below code accounts for the possibility of either table having fewer rows than the other one.
Table1 = [Speed_50_1, Speed_50_2, Speed_55_1, Speed_55_2, Speed_60_1, Speed_60_2, Speed_65_1, Speed_65_2, Speed_70];
T_preserve = readtable('Tesla_Steady_State_027.csv','Delimiter',',');
T_preserve{end+1:height(Table1),:} = missing;
Table1{end+1:height(T_preserve), :} = missing;
T_new = [T_preserve, PD];
writetable(T_new, 'Tesla_Steady_State_027.csv');
  댓글 수: 16
Adam Danz
Adam Danz 2020년 11월 8일
Check out the 'range' parameter for writetable().

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