Lab 13: pandasLogisticsDue: Thursday, April 18th no later than 11:59 p.m.Partner Information: Complete this assignment individually.Submission Instructions: Upload your solution, named YourFirstName-YourLastName-Lab13.py to the BrightSpace Lab 13 Dropbox.Deadline Reminder: Once this deadline passes, BrightSpace will no longer accept your Python submission and you will no longer be able to earn credit. Thus, if you are not able to fully complete the assignment, submit whatever you have before the deadline so that partial credit can be earned.Learning OutcomesGain experience creating bar charts with pandas.AssignmentDownload lab13.py, rename it according to the instructions above, and make sure you understand it.Download MSU College Enrollments.csv and CS Faculty.csv into the same directory as the above file.Modify the program so that when it runs, Figure 1 looks like this and Figure 2 looks like this. Note: To see the xlabel after the figure is displayed, select the “Configure subplots” button at the bottom of the displayed graph and then increase the “bottom” slider manually.Grading – 10 points2 points – A dataframe is created using the read_csv method.1 points – The labels for the x-axis and y-axis are determined by information in the dataframe. Thus, any csv file that has the same format as the two files being used in lab would display correctly.1 points – The title for the graph is determined by the information in the string parameter file_name that comes before the “.csv” file extension.6 points – The dataframe plot method uses each of the following arguments correctly such that the sample graphs are matched exactly: title, legend, x, y, kind and color correctly. 1 point each.If Time RemainsWork on Program 6, seeking feedback from your lab assistant if desired.
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