please help fix the following Scenario: Your team is working with data where dates are caputred as a string, "9/15/2019". You are tasked to create a python function named 'mdy_date' that will accept a string input, convert it to a python datetime object, and return the datetime object. Create the function in the cell below.
please help fix the following Scenario: Your team is working with data where dates are caputred as a string, "9/15/2019". You are tasked to create a python function named 'mdy_date' that will accept a string input, convert it to a python datetime object, and return the datetime object. Create the function in the cell below.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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please help fix the following
Scenario: Your team is working with data where dates are caputred as a string, "9/15/2019". You are tasked to create a python function named 'mdy_date' that will accept a string input, convert it to a python datetime object, and return the datetime object. Create the function in the cell below.
![from datatime import datatime
def mdy_date(data_string):
date_object = datatime.strptime (data_string, '%m/%d/%Y')
return(date_object)
File "<ipython-input-42-b51ad327b9a1>", line 3
date_object = datatime.strptime (data_string, '%m/%d/%Y')
IndentationError: expected an indented block
mdy_date("9/15/2019")
# Do not change anything in this cell.
# Running this cell should return the exact output:
# datetime.datetime (2019, 9, 15, 0, 0)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9ea0e50e-bc61-40aa-a108-fd1d63d4d69b%2Fdb63d0b0-9260-432d-9a6e-beca94785327%2F31covum_processed.png&w=3840&q=75)
Transcribed Image Text:from datatime import datatime
def mdy_date(data_string):
date_object = datatime.strptime (data_string, '%m/%d/%Y')
return(date_object)
File "<ipython-input-42-b51ad327b9a1>", line 3
date_object = datatime.strptime (data_string, '%m/%d/%Y')
IndentationError: expected an indented block
mdy_date("9/15/2019")
# Do not change anything in this cell.
# Running this cell should return the exact output:
# datetime.datetime (2019, 9, 15, 0, 0)
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