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2 cards from this section. Quick, good the night before a test.
What method is used to change a data type in a Pandas DataFrame?
Think about how we cast one type to another.
If 'Age' is read as a float, what should it be changed to?
Consider what data type is most suitable for age.
What is the purpose of the astype() method in Pandas?
Focus on the conversion of types.
True or False: It is acceptable to perform mathematical operations on strings.
Remember the nature of data types in operations.
You have a DataFrame with a column 'Temperature' in string format, and you want to analyze average temperatures. Describe how you'd convert it and why.
Pay attention to how temperature should be represented in data analysis.
You’re provided with sales data where 'Revenue' is in string format with currency symbols. Describe the steps needed to analyze it effectively.
Think about data cleansing before changing types!
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