87 lines
2.2 KiB
JavaScript
Executable File
87 lines
2.2 KiB
JavaScript
Executable File
///////////////////////////////////////////////////////////////////////////////////////////////////
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//Data Manipulation: Using the data access API to generate and retrieve data
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///////////////////////////////////////////////////////////////////////////////////////////////////
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//Creating a 1D dataset from an array
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path="group/data1"
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data1d = [1.0, 2.0, 3.0, 4.0, 5.0]
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save_dataset(path, data1d)
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//Reading ii back
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read =load_data(path)
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print(to_array(read)
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)
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assert (data1d.toString() == to_array(read).toString() )
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plot(read)
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//Creating a 2D dataset from an array with some attributes
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data2d = [ [1.0, 2.0, 3.0, 4.0, 5.0], [2.0, 3.0, 4.0, 5.0, 6.0, ], [3.0, 4.0, 5.0, 6.0, 7.0]]
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path="group/data2"
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save_dataset(path, data2d)
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set_attribute(path, "AttrString", "Value")
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set_attribute(path, "AttrInteger", 1)
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set_attribute(path, "AttrDouble", 2.0)
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set_attribute(path, "AttrBoolean", true)
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//Reading it back
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read =load_data(path)
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print(to_array(read)
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)
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plot(read)
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//Creating a 3D dataset from an array
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data3d = [ [ [1,2,3,4,5], [2,3,4,5,6], [3,4,5,6,7]], [ [3,2,3,4,5], [4,3,4,5,6], [5,4,5,6,7]]]
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path="group/data3"
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save_dataset(path, data3d)
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//Reading it back
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read =load_data(path,0)
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print(to_array(read))
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read =load_data(path,1)
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print(to_array(read))
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//Creating a INT dataset adding elements one by one
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path = "group/data4"
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create_dataset(path, 'i')
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for (var i=0; i<10; i++){
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append_dataset(path,i)
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}
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//Creating a 2D data FLOAT dataset adding lines one by one
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path = "group/data5"
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create_dataset(path, 'd', false, [0,0])
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for (var row in data2d){
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append_dataset(path, data2d[row])
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}
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//Creating a Table (compund type)
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path = "group/data6"
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names = ["a", "b", "c", "d"]
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types = ["d", "d", "d", "[d"]
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lenghts = [0,0,0,5]
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table = [ [1,2,3,[0,1,2,3,4]],
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[2,3,4,[3,4,5,6,7]],
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[3,4,5,[6,7,8,9,4]] ]
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create_table(path, names, types, lenghts)
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for (var row in table){
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append_table(path, table[row])
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}
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flush_data()
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//Read it back
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read =load_data(path)
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print(read
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)
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//Writing scalars (datasets with rank 0)
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save_dataset("group/val1", 1)
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save_dataset("group/val2", 3.14)
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save_dataset("group/val3", "test")
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print (load_data("group/val1")
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)
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print (load_data("group/val2")
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)
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print (load_data("group/val3")
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)
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