Question

What method is used in the following code to add a new column to a table in a data analysis library?

a) tbl.create_column(name, values)
b) tbl.add_column(name, values)
c) tbl.with_column(name, values)
d) tbl.insert_column(name, values)

Answer 1

The method 'tbl.with_column(name, values)' is most likely referencing the method used in the 'datascience' package for Python or a similar syntax in 'pandas' for adding a new column to a DataFrame.

Step-by-step explanation:

The method used to add a new column to a table in a data analysis library depends on the specific library being used. However, considering the options provided, c) tbl.with_column(name, values) seems to suggest the method used by the DataTables or pandas library in Python, which is a widely used data manipulation and analysis tool. When you want to add a new column to a DataFrame (the primary data structure in pandas), you typically use the df['new_column_name'] = values syntax.

But neither create_column, add_column, nor insert_column are standard methods in popular data analysis libraries like pandas. The tbl.with_column could also be referring to the Table method in the datascience package, which is specifically used in educational settings.This method is commonly used in data analysis libraries like pandas in Python. It allows you to create a new column and assign values to it based on the specified name and values.For example, if you have a dataframe named 'tbl' and you want to add a column named 'age' with the values [25, 30, 35] to it, you would use the code 'tbl.with_column('age', [25, 30, 35])'.