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- pd.factorize()is Pandas used in the library forencode categorical variablesfunction. It converts categorical data into integer codes, while also returning a list of unique values.\\\\n\\\\n
Thisismachinemachinelearninglearningpreprocessingincommonly usedtechniqueοΌconverttextcategorytransformintonumerical valueοΌfacilitatealgorithmprocessγandOne-Hot EncodingοΌ
\\\\n\\\\npd.get_dummies()) different, factorized encoding does not increase data dimensions.Word meaning:
factorizemeans"factorization"οΌIn this context, it refers to converting categorical variables into numerical factors (integer encoding).\\\\n\\\\n
\\\\n\\\\nBasic Syntax and Parameters
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\\\\n\\\\npd.factorize()is a top-level function of the Pandas library, used to encode categorical variables as integers.Syntax
pd.factorize(values, sort=False, na_sentinel=-1, size_hint=None)\\\\nParameter Description
\\\\n\\\\n- \\\\n
- ParameterοΌParameter
- Type: array-like object, such as Series, list, array, etc. \\\\n
- Description: Categorical data to be encoded. \\\\n
values- \\\\n
\\\\n - ParameterοΌ
sort- \\\\n
- Type: Boolean. \\\\n
- If set to
True, after sorting the unique values, \\\\n
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