Which is correct way to define featuresX = df['clo1', 'col2', . . .]X = df[[clo1, col2, . . .]]X = df[['clo1', 'col2', . . .]]X = df[clo1, col2, . . .]
Question
Which is correct way to define featuresX = df['clo1', 'col2', . . .]X = df[[clo1, col2, . . .]]X = df[['clo1', 'col2', . . .]]X = df[clo1, col2, . . .]
Solution
The correct way to define features in a pandas DataFrame in Python is:
X = df[['col1', 'col2', ...]]
Here, 'col1', 'col2', etc. are the names of the columns in your DataFrame that you want to include in your features. The double square brackets are used to select these columns and return them as a DataFrame.
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