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Dtypes method

As explained in Pandas Workout: 200 exercises to make you a stronger data analyst

The dtypes method reports the data type of each column or value collection in a pandas object.

Use dtypes to inspect the data type assigned to every column in a pandas DataFrame. It provides a quick check that imported values were interpreted as intended. section 10.2

Check parsed taxi dates

After reading the taxi CSV with both timestamp columns listed in parse_dates, evaluate df.dtypes. The timestamp columns should appear as datetime64[ns]; without parsing, they would appear as object, commonly indicating strings. section 10.2

How Pandas Workout: 200 exercises to make you a stronger data analyst covers it

How deep it goes
Shows the dtype of each column and distinguishes parsed timestamps from object values, without detailing dtype internals.
Examples
Uses NYC taxi columns to confirm pickup and dropoff timestamps were parsed as datetime64[ns].
What you can do after
Diagnose whether imported columns contain parsed timestamps or remain generic object values.
How it connects
Connects CSV import, date parsing, datetime64, object values, and timedelta calculations.
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