Based on the dataframe generated in practice 2, use the loc command to chooseonly rows from index 100 to index 500 and columns Age, Scaled_Age and Age_Comparison.Save the results in a new dataframe named df_quiz and reset the index
Question
Based on the dataframe generated in practice 2, use the loc command to chooseonly rows from index 100 to index 500 and columns Age, Scaled_Age and Age_Comparison.Save the results in a new dataframe named df_quiz and reset the index
Solution
Sure, here is how you can do it in Python using pandas:
# Assuming df is your dataframe generated in practice 2
df_quiz = df.loc[100:500, ['Age', 'Scaled_Age', 'Age_Comparison']]
# Reset the index
df_quiz = df_quiz.reset_index(drop=True)
In the first line, we are using the loc function to select rows from index 100 to 500 and columns 'Age', 'Scaled_Age', and 'Age_Comparison'. The result is saved in a new dataframe named df_quiz.
In the second line, we are resetting the index of df_quiz using the reset_index function. The drop=True argument is used to avoid the old index being added as a new column in df_quiz.
Similar Questions
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