Informatics Practices
What advantages does dataframe offer over series data structure ? If you have similar data stored in multiple series and a single dataframe, which one would you prefer and why ?
Python Pandas
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Answer
The advantages of using a DataFrame over a Series are as follows:
- A DataFrame can have multiple columns, whereas a Series can only have one.
- A DataFrame can store data of different types in different columns, whereas a Series can only store data of a single type.
- A DataFrame allows to perform operations on entire columns, whereas a Series only allows to perform operations on individual elements.
- A DataFrame allows to index data using both row and column labels, whereas a Series only allows to index data using a single label.
If there is similar data stored in multiple Series and a single DataFrame, I would prefer to use the DataFrame. This is because a DataFrame allows us to store and manipulate data in a more organized and structured way, and it allows us to perform operations on entire columns. Additionally, a DataFrame allows us to index data using both row and column labels, which makes it easier to access and manipulate data.
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(b) print(Ser.head(8))
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Also give appropriate column headings as shown below :
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