vDataFrame[].label_encode¶

In [ ]:

vDataFrame[].label_encode()

Encodes the vcolumn using a bijection from the different categories to [0, n - 1] (n being the vcolumn cardinality).

vDataFrame : self.parent

In [11]:

from verticapy.datasets import load_titanic
titanic = load_titanic()
display(titanic["embarked"])

Rows: 1-100 of 1234 | Column: embarked | Type: varchar(20)

In [12]:

titanic["embarked"].label_encode()

Out[12]:

Rows: 1-100 of 1234 | Column: embarked | Type: int

vDataFrame[].decode	Encodes the vcolumn using a User Defined Encoding.
vDataFrame[].discretize	Discretizes the vcolumn.
vDataFrame[].get_dummies	Encodes the vcolumn using the One Hot Encoding.
vDataFrame[].mean_encode	Encodes the vcolumn using the Mean Encoding of a response.