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The {{Forge|dataframe}} package is part of the [[Octave Forge]] project. It is a data manipulation toolbox similar to R data.frame and is maintained by Pascal Dupuis.
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Dataframe, Data manipulation toolbox similar to R data.frame  
  
== Introduction ==
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At an mature development stage. [http://hg.code.sf.net/p/octave/dataframe hg]
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*Maintainer: Pascal Dupuis
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*Contributors:
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*Package: [http://octave.sourceforge.net/dataframe/ dataframe]
  
 
This package permits to handle complex (both in the sense of complex numbers and high complexity) data as if they were ordinary arrays, except that each column MAY possess a different type. It also provides a fairly complete interface to CSV files, permitting to cope with a number of oddities, like e.g., CSV files starting with a header spread over a few lines. The resulting array tries as far as it can to mimic an array in such a way that binary operators and usual functions will work as expected.
 
This package permits to handle complex (both in the sense of complex numbers and high complexity) data as if they were ordinary arrays, except that each column MAY possess a different type. It also provides a fairly complete interface to CSV files, permitting to cope with a number of oddities, like e.g., CSV files starting with a header spread over a few lines. The resulting array tries as far as it can to mimic an array in such a way that binary operators and usual functions will work as expected.
  
 
Meta-information is also handled. Rows and columns may have a name, and this name is searchable. If for whatever reason the ordering of a CSV file changes, searching by column names will return the expected information.
 
Meta-information is also handled. Rows and columns may have a name, and this name is searchable. If for whatever reason the ordering of a CSV file changes, searching by column names will return the expected information.
 
== Example ==
 
  
 
To get a first taste, let's load the test csv file coming with the package:
 
To get a first taste, let's load the test csv file coming with the package:

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