Write the code to produce the following numpy array and assign it to the variable temp_arr: array([ 0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,78,81,84,87,90,93,96,99]) \# VOUR CODE HERE temp_arre Part 2 import pandas as pd import numpy as np url = 'https://drive.google.com/file/d/1gzci82iegwJYMkfayt3FW-uiAWHy6En/view?usp=share_link' path = "https://drive.google. com/uc?export=download\&id = ' + url.split (/)[2] df=pd read_csv(path) Write the code to produce the following numpy array and assign it to the variable temp_arr: array([ 0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,78,81,84,87,90,93,96,99]) \# VOUR CODE HERE temp_arre Part 2 import pandas as pd import numpy as np url = 'https://drive.google.com/file/d/1gzci82iegwJYMkfayt3FW-uiAWHy6En/view?usp=share_link' path = "https://drive.google. com/uc?export=download\&id = ' + url.split (/)[2] df=pd read_csv(path)