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Dataframe package: Difference between revisions
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A simple example: | A simple example: | ||
truc={"Id", "Name", "Type";1, "onestring", "bla"; 2, "somestring", "foobar";} | |||
truc = | |||
{ | |||
[1,1] = Id | |||
[2,1] = 1 | |||
[3,1] = 2 | |||
[1,2] = Name | |||
[2,2] = onestring | |||
[3,2] = somestring | |||
[1,3] = Type | |||
[2,3] = bla | |||
[3,3] = foobar | |||
} | |||
>> tt=dataframe(truc) | |||
tt = dataframe with 2 rows and 3 columns | |||
_1 Id Name Type | |||
Nr double char char | |||
1 1 onestring bla | |||
2 2 somestring foobar | |||
The first cell line is intended to contain column names; the rest is column content. The type is automatically inferred from the cell content. Now let us select one column by its name: | |||
>> tt(:, 'Name') | |||
ans = dataframe with 2 rows and 1 columns | |||
_1 Name | |||
Nr char | |||
1 onestring | |||
2 somestring | |||
In this case, a sub-dataframe is returned. Struct-like indexing is also implemented: | |||
>> tt.Id | |||
ans = | |||
1 | |||
2 | |||
When the output is a vector and can be simplified to something simple ... it is. | |||