MATLAB Programming

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7 Working with Scientific Data Formats Groups: [] Datasets: [1x2 struct] Datatypes: [] Links: [] Attributes: [] Inthesamplefile,thegroupnamed/g2 contains two data sets. The following figure illustrates this part of the sample HDF5 file organization. Organization of the Data Set /g2 in the Sample HDF5 File To get information about a data set, look at either of the structures returned in the Datasets field. These structures provide information about the data set, such as its name, dimensions, and data type. dataset1 = level2.Datasets(1) dataset1 = Filename: 'L:\matlab\toolbox\matlab\demos\example.h5' Name: '/g2/dset2.1' Rank: 1 Datatype: [1x1 struct] Dims: 10 MaxDims: 10 Layout: 'contiguous' Attributes: [] Links: [] Chunksize: [] Fillvalue: [] 7-14
Hierarchical Data Format (HDF5) Files By examining the structures at each level of the hierarchy, you can traverse the entire file. The following figure describes the complete hierarchical organization of the sample file example.h5. Hierarchical Structure of example.h5 HDF5 File Importing Data from an HDF5 File To read data or metadata from an HDF5 file, use the hdf5read function. As arguments, you must specify the name of the HDF5 file and the name of the data set or attribute. Alternatively, you can specify just the field in the structure returned by hdf5info that contains the name of the data set or attribute; hdf5read can determine the file name from the Filename field in the structure. For more information about finding the name of a data set or attribute in an HDF5 file, see “Determining the Contents of an HDF5 File” on page 7-12. To illustrate, this example reads the data set, /g2/dset2.1 from the HDF5 sample file example.h5. data = hdf5read('example.h5','/g2/dset2.1'); 7-15
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MATLAB ® 7 Programming
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Revision History June 2004 First pr
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Operating on Diagonal Matrices ....
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Creating a Cell Array .............
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Examples of Anonymous Functions ...
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12 Programming Tips Command and Fun
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Converting Between Strings and Cell
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A External Interfaces Finding the D
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1 Data Structures Empty Matrices, S
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1 Data Structures A{2,2} = 7; B{1,1
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2 Data Types Cell Arrays (p. 2-94)
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2 Data Types NaN MATLAB represents
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2 Data Types All available formats
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2 Data Types 1 0 0 1 0 1 1 0 The MA
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3 Basic Program Components Symbol R
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4 M-File Programming Function Argum
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4 M-File Programming Saving the Pro
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4 M-File Programming Improving Perf
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4 M-File Programming Working with M
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5 Types of Functions Overview of MA
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5 Types of Functions 0.6667 filt2(1
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6 Data Import and Export Working wi
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6 Data Import and Export One MATLAB
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8 Error Handling Checking for Error
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8 Error Handling Handling and Recov
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8 Error Handling X = A * B catch di
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8 Error Handling matrixMultiply(A,
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8 Error Handling Message Identifier
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8 Error Handling error('msg_id', 'e
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8 Error Handling Warnings Like erro
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8 Error Handling Warning Control Th
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8 Error Handling You must type the
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8 Error Handling s(2) ans = identif
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8 Error Handling end function f2(x)
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8 Error Handling Debugging Errors a
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9 Classes and Objects Classes and O
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9 Classes and Objects The diagram s
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9 Classes and Objects 9-76
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10 Scheduling Program Execution wit
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12 Programming Tips MATLAB Path (p.
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12 Programming Tips -- METHOD #1 --
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12 Programming Tips Starting MATLAB
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12 Programming Tips Finding the MAT
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A External Interfaces A-2
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Index arithmetic operators 3-17 ove
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Index debugging 9-6 designing 9-9 j
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Index string, vector of input 2-70
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Index internet 6-116 downloading fr
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Index overloaded 5-37 function work
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Index I if and empty arrays 3-89 ex
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Index scalar 1-47 See also matrices
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Index inheritance multiple 9-40 sim
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Index reading HDF4 data 7-52 from t
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Index rotating matrices 1-34 S save
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MATLAB Programming

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