LogoLogo
Home PageLoginSQL Generator
  • 🖥️What is Rasgo?
  • 🚀Setting Up Rasgo
    • Connect Rasgo to your Data
  • 🛠️Using Rasgo
    • Modeling your Data
    • Prompt Guide
    • AI Notes
    • AI-Generated Documentation
    • AI Readiness Score
    • Reports
    • Additional Features
    • Admin Settings
  • 🎉What's New
  • Integrations
    • ❄️Snowflake
    • 🔍BigQuery
    • 🔴Redshift
    • 🧱DeltaLake (via Databricks)
    • 💬OpenAI
    • 🅰️Anthropic
    • ✨Gemini
    • ☁️dbt Cloud
  • 🔐API
    • Table Metadata
    • Column Metadata
  • Reference
    • Status Page
    • Frequently Asked Questions
      • Rasgo Architecture
      • Contacting Rasgo Support
      • What does Rasgo do with my data?
  • Rasgo Graveyard
    • PyRasgo 0.3
      • Source Methods
        • publish.source_data()
        • read.source_data()
        • get.data_sources()
        • get.data_source()
      • Feature Methods
        • feature.get_stats()
        • publish.features_from_source_code()
        • publish.feature_from_source()
        • publish.features()
        • read.feature_data()
        • get.feature_attributes()
        • get.features()
        • get.feature()
      • Collection Methods
        • collection.add_attributes()
        • collection.preview()
        • collection.get_compatible_features()
        • read.collection_snapshot_data()
        • read.collection_data()
        • get.collection_attributes()
        • get.collections()
        • get.collection()
      • Features yml file
      • version 0.3
    • Transforms Overview
      • Build your Own Transform
        • Argument Types
        • Make your own Transform
        • SQL Best Practices
        • Utilities
          • cleanse_name()
    • All Transforms
      • Aggregate String
      • Aggregate
      • Apply
      • Bin
      • Cast
      • Clean
      • Conditional Agg
      • Correlation
      • Cumulative Agg
      • Datarobot Score
      • Dateadd
      • Datediff
      • Datepart
      • Datespine Groups
      • Datespine
      • Datetrunc
      • Describe
      • Drop Columns
      • Dropna
      • Encode Values
      • Entropy
      • Extract Sequences
      • Filter
      • Funnel
      • Heatmap
      • Histogram
      • If Then
      • Join
      • Joins
      • Label Encode
      • Lag
      • Latest
      • Lead
      • Linear Regression
      • Market Basket
      • Math
      • Metric Plot
      • Metric
      • Min Max Scaler
      • Moving Avg
      • New Columns
      • One Hot Encode
      • Order
      • Pivot Table
      • Plot
      • Prefix
      • Profile Column
      • Query
      • Rank
      • Ratio With Shrinkage
      • Remove Duplicates
      • Remove Outliers
      • Rename
      • Replace Missing
      • Replace String
      • Reshape
      • Rolling Agg
      • Rsi
      • Sample Class
      • Sample
      • Sankey
      • Scale Columns
      • Select
      • Sliding Slope
      • Standard Scaler
      • Suffix
      • Summarize Flatlines
      • Summarize Islands
      • Summarize
      • Target Encode
      • Text To Sql
      • Timeseries Agg
      • To Date
      • Train Test Split
      • Union
      • Unions
      • Unpivot
      • Uppercase Columns
      • Vlookup
Powered by GitBook
On this page
  • Parameters
  • Return Object
  • Sample Usage
  • Best Practices / Tips

Was this helpful?

  1. Rasgo Graveyard
  2. PyRasgo 0.3
  3. Feature Methods

get.feature()

Get a Rasgo Feature by id

Parameters

id:integer:ID of a Rasgo Feature object

Return Object

Rasgo Feature

Sample Usage

# Connect to rasgo
api_key = '<your api key>'
rasgo = pyrasgo.connect(api_key) 

# Return object
feature = rasgo.get.feature(#)

# Explore returned object
feature.id
feature.name
feature.dataType

Best Practices / Tips

TIP: data from Rasgo get methods return as python classes with interactive properties and methods. Use your python IDE's inspection tools to explore all operations available on the class, or explore Rasgo Primitives in these docs for options.

Previousget.features()NextCollection Methods

Last updated 3 years ago

Was this helpful?