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Filter

Filter the dataset. Supports two types of filters:
  1. 1.
    Comparison filters, which compare the values in a column with a value
  2. 2.
    Advanced filters, which support full SQL strings for custom filtering logic

Parameters

Name
Type
Description
Is Optional
items
filter_list
list of dictionaries representing filters
​

Example

ds = rasgo.get.dataset(74)
​
# comma separated list of 'WHERE' clauses
ds2 = ds.filter(items=['PRODUCTKEY < 500'])
ds2.preview()
​
# full filtering with a column, operator, and comparison value
ds3 = ds.filter(items=[{'column_name':'PRODUCTKEY', 'operator':'>', 'comparison_value':'101'}])
ds3.preview()

Source Code