How to fill a matrix of known size with data from a row vector

Question

Nicolò Monaco 2022-2-4

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1643390-how-to-fill-a-matrix-of-known-size-with-data-from-a-row-vector

编辑： Fangjun Jiang 2022-2-4

I have a row vector ( dimension: 1x171072000) representing per second data for 66 months.

I want to build a matrix with dimension 2592000x66, so that each colums contains data for each month. For example the first column of the matrix must contains vector(1:2592000) and the second column vector(2592001:5184000.

How can I implement this? thank you in advance

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Answer 1

Fangjun Jiang 2022-2-4

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https://ww2.mathworks.cn/matlabcentral/answers/1643390-how-to-fill-a-matrix-of-known-size-with-data-from-a-row-vector#answer_889155

编辑：Fangjun Jiang 2022-2-4

reshape()

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Nicolò Monaco 2022-2-4

Thanks for the quick answer

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Answer 2

Voss 2022-2-4

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1643390-how-to-fill-a-matrix-of-known-size-with-data-from-a-row-vector#answer_889160

在 MATLAB Online 中打开

A = randn(1,171072000)
A = 1×171072000
    0.3875   -1.9867   -0.2379    0.1738    0.0990    1.0573   -0.8788    1.4036   -3.6949    0.1900   -0.0567    1.6167    1.6784   -0.1925   -0.4005   -0.3892    0.8510   -0.4445    0.4273   -0.8284    0.8122   -1.1188    1.5828    0.0162   -1.6376    1.4737    0.7082    0.6214   -0.6716    0.6999
B = reshape(A,[],66)
B = 2592000×66
    0.3875   -1.3692    0.9710    1.1184   -0.1400    0.4886    1.8350   -0.5145   -2.4965   -0.0625    3.0628    0.4617   -0.0233    1.3546   -2.1346    0.5320   -1.7412    0.8743   -0.7809    0.1577    0.2596   -1.1410    0.5543    0.3521   -1.3561    2.9233    0.1950   -0.6069   -0.9593    0.6087
   -1.9867    0.2935    0.5990    1.3330   -0.2093   -0.0355    0.8335   -0.0923    0.9512    0.2460    0.1450   -1.4380   -0.7361    0.3305   -0.0382   -0.8544    0.0036   -0.3293    0.6408    0.1290    0.1475   -0.3567   -0.8266   -0.7657    0.3540   -0.8802    0.3913    1.2270    0.0518   -0.8527
   -0.2379   -0.1303    0.6242   -0.9432   -0.2440   -0.4866    0.7084    0.6374   -0.0030   -0.4931   -1.2137    1.7080    0.3712   -0.3124    0.2305    1.2967   -0.2044   -0.8888   -0.6738    2.5090    0.2927   -0.4236    1.8914   -0.6045   -0.9274   -0.9079    2.4966    1.5355   -0.4163    0.7406
    0.1738    1.1187   -0.9046   -0.9690    0.7033    0.6652   -1.6156   -0.5211    0.1894   -0.4359   -1.0656    1.5449   -2.1343   -0.2652    0.3721   -0.3095    0.4569    0.0577    0.2565   -0.3711    0.1692   -0.8408   -0.1927   -2.0263   -0.0819    0.1040   -1.0257    0.2481    0.9915   -1.6916
    0.0990   -1.1458    1.3158   -0.5638    1.6851   -2.1849   -0.7489    0.0538    0.6014    0.3645    1.3252    0.5119   -0.5372   -1.1119    0.3421   -0.4771    0.3793    0.4533   -0.6377    1.6360   -0.5688   -0.7498   -1.3135   -2.3985   -0.5606   -1.7849   -0.3119   -0.3053   -0.0892   -0.5111
    1.0573    1.6427   -0.6530    0.2691    1.2518    0.5644    0.0371    1.1183    1.7318    2.1239    0.0241    0.6996    0.5446   -0.6511   -1.6128   -0.2210   -1.7022    0.2040    0.8570   -1.8349    1.6881   -0.0667    0.5122   -2.2710   -0.2053    1.7887   -2.5509   -0.5626   -1.1287   -0.2476
   -0.8788   -0.0270   -1.3102    1.8098    1.8844   -0.9971   -0.2106    2.1487    0.4754   -0.4267   -0.8447    0.8141    0.9215    0.1069    0.1939   -0.0554    1.1703   -1.3961   -0.8005    0.4885   -0.5591   -0.1350    0.1337    0.4191    0.8678    0.3670    0.9646   -0.6997    0.0361   -0.8307
    1.4036   -0.5129    1.2829   -0.6057   -1.0464   -0.5065   -1.4943    1.2725   -0.9102   -0.5495   -1.4496    0.0917   -0.9924   -0.7929   -0.7865   -0.0007   -0.7678   -0.7087   -0.1772   -1.3529   -1.7970   -0.0122    1.8184   -0.1958   -1.3763   -0.1554    0.0724   -3.0187   -1.1723   -1.3708
   -3.6949    0.5822    0.0433    0.6614    0.5026   -0.7977   -0.3218    1.4018    1.0860   -1.1523    0.9896   -0.0124   -1.0040   -2.7534    0.2100    0.8065    0.7002    1.5609    0.0379   -0.2185    0.0230    0.5448    0.9784    0.8731    0.5252   -1.4438   -0.0815    0.1840    1.0748   -0.4470
    0.1900    0.8321   -0.7244    0.9139    0.6005   -0.4086   -0.1653   -0.6962   -1.5189   -1.8276    1.1408    0.4139    0.1925    1.3744    0.3097    0.1423   -1.8553   -0.2173   -0.8898   -1.2154   -0.1432    0.0743    2.3276    0.3756   -0.3507    0.8325   -0.6457    1.9939   -1.2789   -0.4749