Convert string timestamps to datetime and extract day of week
This tests pandas datetime parsing and accessor fluency. A strong answer uses pd.to_datetime, assigns the result, then extracts the day via .dt.day_name() or .dt.dayofweek. Red flag: manual string splitting or Python loops instead of vectorized ops.
This evaluates practical fluency with pandas time-series tooling, specifically parsing strings into datetime64 objects and using datetime accessors for feature engineering. First, call pd.to_datetime(df['timestamp']) for vectorized parsing, optionally specifying format to speed up inference. Second, assign the result to a new column or overwrite the original. Third, extract the day of week using the .dt accessor, such as .dt.day_name() for labels or .dt.dayofweek for integers.
Read the original → pandas.pydata.org
- #pandas
- #datetime
- #feature-engineering
- #time-series
- #data-manipulation
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