LogoLogo
Home PageLoginSQL Generator
  • ๐Ÿ–ฅ๏ธWhat is Rasgo?
  • ๐Ÿš€Setting Up Rasgo
    • Connect Rasgo to your Data
  • ๐Ÿ› ๏ธUsing Rasgo
    • Modeling your Data
    • Prompt Guide
    • AI Notes
    • AI-Generated Documentation
    • AI Readiness Score
    • Reports
    • Additional Features
    • Admin Settings
  • ๐ŸŽ‰What's New
  • Integrations
    • โ„๏ธSnowflake
    • ๐Ÿ”BigQuery
    • ๐Ÿ”ดRedshift
    • ๐ŸงฑDeltaLake (via Databricks)
    • ๐Ÿ’ฌOpenAI
    • ๐Ÿ…ฐ๏ธAnthropic
    • โœจGemini
    • โ˜๏ธdbt Cloud
  • ๐Ÿ”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
  • N-tile
  • Equal Width
  • Parameters
  • Example
  • Source Code

Was this helpful?

  1. Rasgo Graveyard
  2. All Transforms

Bin

This function will categorize or bin an input column such that for N bins, an output column is created with values [1-N] where each value represents some bin.

This transformation supports two binning methods (called "binning_type" in the arguments): ntile and equalwidth.

N-tile

When using ntile binnint the boundaries for the bins are calculated such that each bin will receive an almost equal number of elements. It will create a new column called {{column}}_{{bin_count}}_NTB. This ensures that multiple equal-weight binning operations will produce column names that don't overlap.

Equal Width

The equalwidth method will calculate the boundaries of the bins such that they will be of equal width based on the min and max value within the source column. This transformation will create a new column called {{column}}_{{bin_count}}_EWB. This ensures that multiple equal-weight binning operations will produce column names that don't overlap.

Parameters

Name
Type
Description
Is Optional

type

string

binning algorithm to use; must be ntile or equalwidth

bin_count

int

the number of equal-width bins to use

column

column

which column to bucket

Example

ds = rasgo.get.dataset(id)

ds2 = ds.bin(type='equalwidth', bin_count=6, column='DAILY_HIGH_TEMP')
ds2.preview()

Source Code

PreviousApplyNextCast

Last updated 2 years ago

Was this helpful?

LogoRasgoTransforms/bin.sql at main ยท rasgointelligence/RasgoTransformsGitHub