Using a column of cells as variable names in a table

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Prasenjit Dewanjee
Prasenjit Dewanjee 2023 年 2 月 18 日
コメント済み: Stephen23 2023 年 3 月 14 日
Hi!
I have a table that contains 2 columns each having 28 rows. The first column contains cells of strings, and the second one contains numbers in cell format. I want to use the individual strings from column 1 as the varible names for a table and then assign the numbers from 2nd column to those variables. How do I do that? The file is attached.
Any help will be appreciated.

回答 (2 件)

Sulaymon Eshkabilov
Sulaymon Eshkabilov 2023 年 2 月 18 日
Here is how to get this assignment done:
T = readtable('Properties.xlsx');
T2 = table(T.Var2, 'RowNames',T.Var1)
T2 = 28×1 table
Var1 _______ a1 48 b1 96 t1 0.25 E_steel 3e+07 v_steel 0.33 P1 1 P2 10000 a2 1 b2 1.5 t2 0.01 E_al 6.9e+10 v_al 0.3 Sinusoidal 1 Uniform 2 Hydrostatic 3 Patch 4
T2 = rows2vars(T2)
T2 = 1×29 table
OriginalVariableNames a1 b1 t1 E_steel v_steel P1 P2 a2 b2 t2 E_al v_al Sinusoidal Uniform Hydrostatic Patch m_max n_nax x_sigmax y_sigmax x_tauxy y_tauxy x_tauxz y_tauxz x_tauyz y_tauyz x_sigmaz z_sigmaz _____________________ __ __ ____ _______ _______ __ _____ __ ___ ____ _______ ____ __________ _______ ___________ _____ _____ _____ ________ ________ _______ _______ _______ _______ _______ _______ ________ ________ {'Var1'} 48 96 0.25 3e+07 0.33 1 10000 1 1.5 0.01 6.9e+10 0.3 1 2 3 4 23 23 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
T2.a1
ans = 48
T2.b1
ans = 96
T2.t1
ans = 0.2500
T2.E_steel
ans = 30000000
...
  2 件のコメント
Prasenjit Dewanjee
Prasenjit Dewanjee 2023 年 2 月 18 日
編集済み: Prasenjit Dewanjee 2023 年 2 月 18 日
Thank you so much!! Easy and effective!
Sulaymon Eshkabilov
Sulaymon Eshkabilov 2023 年 2 月 18 日
編集済み: Sulaymon Eshkabilov 2023 年 2 月 18 日
Most welcome.

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Seth Furman
Seth Furman 2023 年 3 月 14 日
編集済み: Seth Furman 2023 年 3 月 14 日
See unstack.
t1 = readtable("Properties.xlsx")
t1 = 28×2 table
Var1 Var2 _______________ _______ {'a1' } 48 {'b1' } 96 {'t1' } 0.25 {'E_steel' } 3e+07 {'v_steel' } 0.33 {'P1' } 1 {'P2' } 10000 {'a2' } 1 {'b2' } 1.5 {'t2' } 0.01 {'E_al' } 6.9e+10 {'v_al' } 0.3 {'Sinusoidal' } 1 {'Uniform' } 2 {'Hydrostatic'} 3 {'Patch' } 4
t2 = unstack(t1,"Var2","Var1")
t2 = 1×28 table
E_al E_steel Hydrostatic P1 P2 Patch Sinusoidal Uniform a1 a2 b1 b2 m_max n_nax t1 t2 v_al v_steel x_sigmax x_sigmaz x_tauxy x_tauxz x_tauyz y_sigmax y_tauxy y_tauxz y_tauyz z_sigmaz _______ _______ ___________ __ _____ _____ __________ _______ __ __ __ ___ _____ _____ ____ ____ ____ _______ ________ ________ _______ _______ _______ ________ _______ _______ _______ ________ 6.9e+10 3e+07 3 1 10000 4 1 2 48 1 96 1.5 23 23 0.25 0.01 0.3 0.33 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN

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