Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Attached The contents of input.txt file:
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- my code is # importing pandas for csv file operationsimport pandas as pd # filename to store the filename, change it to your filenamefileName = 'survey.csv' # Creating a dataframe by opening the given filedf = pd.read_csv(fileName) # converting the date string to datetimepd.to_datetime(df['Timestamp']) Question - Python code to drop the data values from your data set where the age is less than 1 or greater than 99.• Print the shape of your new data frame using the shape property.• Has the number of columns changed?• Has the number of rows changed?• Explain why each has or has not changed.arrow_forwardmy code is # importing pandas for csv file operationsimport pandas as pd # filename to store the filename, change it to your filenamefileName = 'survey.csv' # Creating a dataframe by opening the given filedf = pd.read_csv(fileName) # converting the date string to datetimepd.to_datetime(df['Timestamp']) Question - Python code to drop the data values from your data set where the age is less than 1 or greater than 99 BY USING DROP FUNCTION. DO NOT CHANGE ORIGINAL DATA FRAME Example of function required is df_data.drop(df_data[df_data.salary<0].index,inplace=True) • Print the shape of your new data frame using the shape property.• Has the number of columns changed?• Has the number of rows changed?• Explain why each has or has not changed.arrow_forward
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