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  3. Visualizing Time Series Data in Python

Exercise

Test whether your data is of the correct type

When working with time series data in pandas, any date information should be formatted as a datetime64 type. Therefore, it is important to check that the columns containing the date information are of the correct type. You can check the type of each column in a DataFrame by using the .dtypes attribute. Fortunately, if your date columns come as strings, epochs, etc… you can use the to_datetime() function to convert them to the appropriate datetime64 type:

df['date_column'] = pd.to_datetime(df['date_column'])

In this exercise, you will learn how to check the data type of the columns in your time series data and convert a date column to the appropriate datetime type.

Instructions 1/3

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Print out the data type of the column in the discoveries object.