Dontopedia

pd.to_numeric

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

pd.to_numeric has 8 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

8 facts·5 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), purpose(2), member of(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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mentionsMentions(1)

supportedBySupported by(1)

Other facts (7)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

7 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typeFunction[2]
PurposeConvert columns to numeric types[1]
Purposeconvert columns to numeric types[2]
Member ofPandas Library[1]
Applies toColumns[1]
Example ofMemory Optimization Technique[1]

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/789c6b1e-ff20-4564-9678-09de4a8a664b
ex:Function
purposebeam/789c6b1e-ff20-4564-9678-09de4a8a664b
Convert columns to numeric types
memberOfbeam/789c6b1e-ff20-4564-9678-09de4a8a664b
ex:Pandas Library
appliesTobeam/789c6b1e-ff20-4564-9678-09de4a8a664b
ex:columns
exampleOfbeam/789c6b1e-ff20-4564-9678-09de4a8a664b
ex:memory-optimization-technique
typebeam/61792165-cff9-46be-a110-fcf966f90117
ex:Function
labelbeam/61792165-cff9-46be-a110-fcf966f90117
pd.to_numeric
purposebeam/61792165-cff9-46be-a110-fcf966f90117
convert columns to numeric types

References (2)

2 references
  1. ctx:claims/beam/789c6b1e-ff20-4564-9678-09de4a8a664b
    • full textbeam-chunk
      text/plain995 Bdoc:beam/789c6b1e-ff20-4564-9678-09de4a8a664b
      Show excerpt
      - Ensure that you are using appropriate data types and avoiding unnecessary memory usage. For example, use `pd.to_numeric` to convert columns to numeric types if applicable. 4. **Profiling and Optimization**: - Use profiling tools li
  2. ctx:claims/beam/61792165-cff9-46be-a110-fcf966f90117
    • full textbeam-chunk
      text/plain1 KBdoc:beam/61792165-cff9-46be-a110-fcf966f90117
      Show excerpt
      datasets = pd.read_csv('datasets.csv') # Define secure tuning function def secure_tuning(row): # Implement secure tuning logic here # Example: Check if a condition is met compliant = row['some_column'] > 0 # Replace with actua

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