Assume the file "data_file.csv" exists and that it contains a column with the heading "age", and you run the following code snippet:

import pandas as pd

data = pd.read_csv("data_file.csv")

sorted_data = data.sort_values(by="age")

Which one of the following statements is TRUE?

Question

Assume the file "data_file.csv" exists and that it contains a column with the heading "age", and you run the following code snippet:

import pandas as pd

data = pd.read_csv("data_file.csv")

sorted_data = data.sort_values(by="age")

Which one of the following statements is TRUE?

BlackTom AI · Accepted Answer

The question describes reading a CSV into a DataFrame and then sorting by the 'age' column with sort_values(by="age").
Option 1: This states that sorted_data will contain all rows from the CSV, but arranged in ascending order of age, and that an index column will be displayed when you call sorted_data.head(). In fact, sort_values returns a new DataFrame with the same rows, just ordered by age, and the index is preserved; calling head() typically shows the top rows along with the index column unless you configure display options to hide it. This makes the statement largely correct.
Option 2: This claims there will not be an index column displayed when you run sorted_data.head(). By default, pandas shows the index when you view a DataFrame, so this claim is inaccurate unless you explicitly suppress the index in display (which is not shown in the code). Therefore this is false.
Option 3: Here the suggestion is that to find the mean age, you must use the original DataFrame data["age"].mean() and that sorting could change the mean value. Sorting does not affect the data values themselves, only their order; the mean of the age column remains the same whether you sort or not. The mean should be computed from the age column of the original or the sorted DataFrame and would be identical, making this statement incorrect.
Option 4: This asserts that to save the sorted data to a new CSV, you would use a function named save rather than a pandas built-in method. In pandas, the standard approach is to use to_csv to write DataFrames to CSV files; there is no generic save method for DataFrames. Thus this option is false.
In summary, the first option aligns with how sort_values operates and how DataFrame viewing works in typical usage, while the other options contain inaccuracies about indexing display, mean calculation after sorting, or proper saving methods.

Assume the file "data_file.csv" exists and that it contains a column with the heading "age", and you run the following code snippet: import pandas as pd data = pd.read_csv("data_file.csv") sorted_data = data.sort_values(by="age") Which one of the following statements is TRUE?单项选择题

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