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for column in cleaned_df.columns: if cleaned_df[column].dtype == np.number: continue cleaned_df[column] = LabelEncoder().fit_trasform(cleaned_df[column])

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Bored Bear answered on August 18, 2022 Popularity 1/10 Helpfulness 8/10

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  • answer for column in cleaned_df.columns: if cleaned_df[column].dtype == np.number: continue cleaned_df[column] = LabelEncoder().fit_trasform(cleaned_df[column])

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    for column in cleaned_df.columns: if cleaned_df[column].dtype == np.number: continue cleaned_df[column] = LabelEncoder().fit_trasform(cleaned_df[column])

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    Popularity 1/10 Helpfulness 8/10 Language python
    Source: Grepper
    Tags: continue python
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    Bored Bear
    Contributed on Aug 18 2022
    Bored Bear
    0 Answers  Avg Quality 2/10

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