Web Reference: Sep 25, 2017 · Checking the variable that lead to the error results ins: Besides nan values, what could be causing this error? This is due to the series df[cat] containing elements that have varying data types e.g. (strings and/or floats). Nov 22, 2025 · The LabelEncoder TypeError issue is fundamentally a data type consistency problem. By converting mixed data types to uniform strings, this problem can be reliably resolved. LabelEncoder # class sklearn.preprocessing.LabelEncoder [source] # Encode target labels with value between 0 and n_classes-1. This transformer should be used to encode target values, i.e. y, and not the input X. Read more in the User Guide. Added in version 0.12.
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