Please Assist me to complete the Python Code: Data frames can be subset by a chosen value using ==. Ex: df[df.x == 5] gives all the rows in the data frame df for which the column x has a value of 5. Write a program that performs the following tasks: Load the file mtcars.csv into a data frame called df Create a new data frame df_cyl by subsetting the data frame based on a user defined value for the column cyl. Print the shape of the new data frame. mtcars.csv should not be necessary to answer this question. Please advise on the commands for subsetting a new data frame and for printing the shape of the new data frame. Thank You! Please try Completing the Program Below: import pandas as pd cylinders = int(input()) df = # read in the csv file mtcars.csv df_cyl = # create a new dataframe with only the rows where cyl = cylinders print(# print the shape of the new data frame)
Please Assist me to complete the Python Code:
Data frames can be subset by a chosen value using ==.
Ex: df[df.x == 5] gives all the rows in the data frame df for which the column x has a value of 5.
Write a program that performs the following tasks:
-
Load the file mtcars.csv into a data frame called df
-
Create a new data frame df_cyl by subsetting the data frame based on a user defined value for the column cyl.
-
Print the shape of the new data frame.
mtcars.csv should not be necessary to answer this question.
Please advise on the commands for subsetting a new data frame and for printing the shape of the new data frame.
Thank You!
Please try Completing the Program Below:import pandas as pd
cylinders = int(input())
df = # read in the csv file mtcars.csv
df_cyl = # create a new dataframe with only the rows where cyl = cylinders
print(# print the shape of the new data frame)
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
to print the new dataframe, I get a sytax error in pythong; shouldn't the last line be
print(df_cyl)