Dontopedia

Vectorize Data Function

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Vectorize Data Function has 21 facts recorded in Dontopedia across 2 references.

21 facts·20 predicates·2 sources

Mostly:rdf:type(2), function name(1), programming language(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (8)

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assignsValueAssigns Value(1)

callsCalls(1)

containsFunctionContains Function(1)

createdFromCreated From(1)

demonstratesDemonstrates(1)

isOutputOfIs Output of(1)

producedByProduced by(1)

usedByUsed by(1)

Other facts (21)

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21 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typeFunction[2]
Function Namevectorize_data[1]
Programming LanguagePython[1]
Has Parameterdata[1]
Parameter TypePandas DataFrame[1]
Uses LibraryPandas[1]
Calls MethodGet Dummies[1]
Assumes Parameter TypePandas DataFrame[1]
Has CommentAssume data is a Pandas DataFrame[1]
Returnsvectorized_data[1]
Takesdata[1]
Is Python Functiontrue[1]
Is Designed fordata vectorization[1]
Has Namevectorize_data[2]
Operates onData Frame[2]
Performs OperationOne Hot Encoding[2]
Targets ColumnColumn2[2]
ProducesOutput[2]
TransformsCategorical Data[2]
Part ofVectorization Pipeline[2]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/47820af8-74e9-40cc-b155-2fbe76a9689e
ex:Function
functionNamebeam/47820af8-74e9-40cc-b155-2fbe76a9689e
vectorize_data
programmingLanguagebeam/47820af8-74e9-40cc-b155-2fbe76a9689e
Python
hasParameterbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
data
parameterTypebeam/47820af8-74e9-40cc-b155-2fbe76a9689e
Pandas DataFrame
usesLibrarybeam/47820af8-74e9-40cc-b155-2fbe76a9689e
ex:pandas
callsMethodbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
ex:get-dummies
assumesParameterTypebeam/47820af8-74e9-40cc-b155-2fbe76a9689e
Pandas DataFrame
hasCommentbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
Assume data is a Pandas DataFrame
returnsbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
vectorized_data
takesbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
data
isPythonFunctionbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
true
isDesignedForbeam/47820af8-74e9-40cc-b155-2fbe76a9689e
data vectorization
typebeam/cee62184-5651-4902-908c-7655e1113520
ex:Function
hasNamebeam/cee62184-5651-4902-908c-7655e1113520
vectorize_data
operatesOnbeam/cee62184-5651-4902-908c-7655e1113520
ex:data-frame
performsOperationbeam/cee62184-5651-4902-908c-7655e1113520
ex:one-hot-encoding
targetsColumnbeam/cee62184-5651-4902-908c-7655e1113520
ex:column2
producesbeam/cee62184-5651-4902-908c-7655e1113520
ex:output
transformsbeam/cee62184-5651-4902-908c-7655e1113520
ex:categorical-data
partOfbeam/cee62184-5651-4902-908c-7655e1113520
ex:vectorization-pipeline

References (2)

2 references
  1. ctx:claims/beam/47820af8-74e9-40cc-b155-2fbe76a9689e
  2. ctx:claims/beam/cee62184-5651-4902-908c-7655e1113520
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cee62184-5651-4902-908c-7655e1113520
      Show excerpt
      In the example usage, the DataFrame `data` contains a mix of numerical and categorical data. The `vectorize_data` function will one-hot encode the categorical column `column2`. ### Output The output will be: ``` column1 column2_a co

See also

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