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matlab - 空间之间的分割向量

问题描述

我想从一个非常大的矩阵创建许多矩阵。

这些是我的矩阵的第一行：

'G02'   90.1588000000000    39.7869000000000    -0.779400000000000  48.0830000000000    0.288600000000000   -0.401300000000000  0.869300000000000   1   0   0
'G06'   51.7090000000000    27.4101000000000    -0.157700000000000  41.9090000000000    -0.0824000000000000 -0.644000000000000  0.760600000000000   1   0   0
'G12'   76.2320000000000    64.5575000000000    -0.447700000000000  49.6050000000000    -0.103700000000000  -0.114200000000000  0.988000000000000   1   0   0
'G24'   152.686400000000    23.2464000000000    -0.326100000000000  39.5560000000000    0.0974000000000000  -0.294700000000000  -0.950600000000000  1   0   0
'G25'   290.170000000000    72.0137000000000    -0.606600000000000  50.6370000000000    -0.402300000000000  -0.883400000000000  0.240500000000000   1   0   0
'G29'   212.636100000000    34.8263000000000    0.856500000000000   42.1420000000000    -0.527200000000000  0.807200000000000   -0.265600000000000  1   0   0
'G31'   310.781800000000    16.6067000000000    -0.529700000000000  42.5590000000000    0.605400000000000   -0.145500000000000  -0.782500000000000  1   0   0
'G32'   260.873900000000    30.0225000000000    -0.317500000000000  47.5850000000000    -0.175100000000000  -0.0214000000000000 -0.984300000000000  1   0   0
'E01'   287.527800000000    43.4138000000000    -0.927900000000000  45.7400000000000    0.0607000000000000  -0.840500000000000  -0.538400000000000  0   1   0
'E04'   282.355100000000    24.3599000000000    0.920300000000000   44.7190000000000    0.662600000000000   -0.271000000000000  -0.698200000000000  0   1   0
'E09'   333.562800000000    10.4773000000000    -0.200600000000000  39.7450000000000    -0.421300000000000  -0.260600000000000  -0.868700000000000  0   1   0
'E13'   120.905800000000    46.3507000000000    0.00740000000000000 47.4610000000000    -0.0326000000000000 -0.714900000000000  0.698400000000000   0   1   0
'E15'   51.1470000000000    32.7178000000000    0.458600000000000   44.5280000000000    0.169000000000000   0.205000000000000   0.964100000000000   0   1   0
'E21'   67.3130000000000    81.0821000000000    -0.193600000000000  49.0010000000000    -0.189200000000000  -0.803700000000000  -0.564100000000000  0   1   0
'E27'   99.0631000000000    27.8179000000000    0.901000000000000   43.2740000000000    -0.0922000000000000 0.892900000000000   0.440700000000000   0   1   0
'C08'   55.3331000000000    31.7218000000000    0.550400000000000   39.6130000000000    0.331700000000000   -0.894000000000000  0.301100000000000   0   0   1
'C13'   81.4891000000000    33.6572000000000    0.426300000000000   42.5610000000000    -0.609900000000000  0.118800000000000   0.783500000000000   0   0   1
'C24'   300.310900000000    21.5646000000000    -0.0396000000000000 43.9920000000000    -0.259300000000000  0.872700000000000   0.413700000000000   0   0   1
'C26'   287.284100000000    70.3941000000000    1.01310000000000    51.9550000000000    -0.0491000000000000 -0.283400000000000  0.957700000000000   0   0   1
'C29'   71.5661000000000    54.1001000000000    -0.201600000000000  49.7620000000000    0.593100000000000   -0.490000000000000  -0.638900000000000  0   0   1
'C35'   174.458700000000    53.0327000000000    0.738000000000000   40.8490000000000    -0.0932000000000000 0.926100000000000   0.365700000000000   0   0   1
''  NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
'G02'   90.1494000000000    39.7889000000000    -0.681700000000000  47.9940000000000    0.285800000000000   -0.405400000000000  0.868300000000000   1   0   0
'G06'   51.7016000000000    27.4076000000000    -0.122200000000000  42.0400000000000    -0.0869000000000000 -0.641500000000000  0.762200000000000   1   0   0
'G12'   76.2398000000000    64.5503000000000    -0.525900000000000  49.5880000000000    -0.0980000000000000 -0.109700000000000  0.989100000000000   1   0   0
'G24'   152.687900000000    23.2392000000000    -0.524800000000000  40.0120000000000    0.100000000000000   -0.301000000000000  -0.948400000000000  1   0   0
'G25'   290.180200000000    72.0211000000000    -0.619200000000000  50.6890000000000    -0.393900000000000  -0.889000000000000  0.233400000000000   1   0   0
'G29'   212.638700000000    34.8340000000000    0.645800000000000   42.0450000000000    -0.528200000000000  0.804100000000000   -0.273000000000000  1   0   0
'G31'   310.781700000000    16.6134000000000    -0.519800000000000  42.4060000000000    0.600200000000000   -0.144300000000000  -0.786700000000000  1   0   0
'G32'   260.866300000000    30.0185000000000    -0.340800000000000  47.4520000000000    -0.171400000000000  -0.0196000000000000 -0.985000000000000  1   0   0
'E01'   287.531300000000    43.4192000000000    -0.885600000000000  45.8130000000000    0.0638000000000000  -0.843200000000000  -0.533800000000000  0   1   0
'E04'   282.349200000000    24.3574000000000    1.00080000000000    44.7670000000000    0.659400000000000   -0.274300000000000  -0.700000000000000  0   1   0
'E09'   333.558300000000    10.4796000000000    -0.377100000000000  39.7210000000000    -0.420800000000000  -0.257700000000000  -0.869800000000000  0   1   0
'E13'   120.899000000000    46.3556000000000    0.0345000000000000  47.5420000000000    -0.0376000000000000 -0.718100000000000  0.694900000000000   0   1   0
'E15'   51.1413000000000    32.7148000000000    0.365800000000000   44.4790000000000    0.172000000000000   0.206300000000000   0.963300000000000   0   1   0
'E21'   67.3416000000000    81.0778000000000    -0.190300000000000  48.9070000000000    -0.165700000000000  -0.806400000000000  -0.567600000000000  0   1   0
'E27'   99.0675000000000    27.8129000000000    0.891400000000000   43.1130000000000    -0.0959000000000000 0.890300000000000   0.445200000000000   0   1   0
'C08'   55.3300000000000    31.7230000000000    0.346100000000000   39.5560000000000    0.328800000000000   -0.894700000000000  0.302300000000000   0   0   1
'C13'   81.4865000000000    33.6600000000000    0.343100000000000   42.3540000000000    -0.611700000000000  0.120800000000000   0.781800000000000   0   0   1
'C24'   300.312400000000    21.5706000000000    -0.102200000000000  44.0780000000000    -0.261300000000000  0.874700000000000   0.408300000000000   0   0   1
'C26'   287.275600000000    70.4003000000000    1.07280000000000    51.9090000000000    -0.0505000000000000 -0.277100000000000  0.959500000000000   0   0   1
'C29'   71.5566000000000    54.0962000000000    -0.265400000000000  49.7060000000000    0.590300000000000   -0.497200000000000  -0.635900000000000  0   0   1
'C35'   174.456000000000    53.0401000000000    0.686700000000000   40.8300000000000    -0.0910000000000000 0.929000000000000   0.358800000000000   0   0   1
''  NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN

-valuesNaN总是在每一行下面。

我曾经detectImportOptions将我的.csv文件放入 MATLAB。

然后我想开发一个代码来将此矩阵划分为许多单独的时期，这些时期总是从第一个值到NaN（然后是下一个值之后NaN到下一个NaN等）。

我可以以某种方式指定该NaN值或其他值（例如 99999999）始终是一个时期的极限线吗？

然后我可以使用 if 循环对每个单独的时期进行计算，最后得到每个时期的标准偏差，例如，哪个是输出？那么对于第一个时期的标准偏差1，第二个时期的标准偏差2，依此类推。

非常感谢你！

标签： matlabif-statementmatrix

解决方案

将 GNSS 数据读入 Matlab 中的表格是最简单的。

data = readtable('Input.csv');

接下来，您可以'NaN'使用该ismissing函数提取值的位置，并将结果矩阵存储到元胞数组中。

[Nan_locations] = ismissing(data(:,2)); % find location of Nans in table, row 2
Nan_indices = [1; find(Nan_locations)]; % extract index of Nan rows

% use a cell aray to store the matrices
for i = 1:length(Nan_indices)-1
    epoch_matrix{i} = data(Nan_indices(i):Nan_indices(i+1)-1, :);
end

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