vDataFrame.add_duplicates¶

In [ ]:

vDataFrame.add_duplicates(weight: (int, str), 
                          use_gcd: bool = True,)

Duplicates the vDataFrame using the input weight.

Name	Type	Optional	Description
weight	int / str	❌	vColumn or integer representing the weight.
use_gcd	bool	✓	If set to True, uses the GCD (Greatest Common Divisor) to reduce all common weights to avoid unnecessary duplicates.

vDataFrame : the output vDataFrame

In [4]:

from verticapy import *
names = tablesample({"name": ["Badr", "Waqas", "Pratibha"], "weight": [2, 4, 6]}).to_vdf()
display(names)

Rows: 1-3 | Columns: 2

In [5]:

names.add_duplicates("weight")

Out[5]:

Rows: 1-6 | Column: name | Type: varchar(8)

In [6]:

# Disabling gcd
names.add_duplicates("weight", use_gcd=False)

Out[6]:

Rows: 1-12 | Column: name | Type: varchar(8)