3 Ib-jamesQ. Search SheetHomeInsertPage LayoutFormulasDataReviewView- 12Insert.ΣCalibri (Body)A A-E Wrap TextGeneralEx DeleteMerge & Center$ - % ).0.0000 0Conditional FormatFormatting as TablePasteBIU+CellStylesO FormatA1fx Season, Age,Tm, Lg,Pos,G,GS,MP,FG,FGA,FG%,3P,3PA,3P%,2P,2PA,2P%,eFG%,FT,FTA,FT%,ORB, DRB,TRB,AST,STL,BLK,TOV,PF,PTSAВDEFGHKLMNP1 Season,Age, lm,Lg.Pos,G,GS,MP,FG,FGA,FG%,3P,3PA,3P%,2P,2PA,2P%,eFG%,FT,FTA,FT%,ORB,DRB,TRB,AST,STL,BLK,TOV,PF,PTS2 2003-04,19,CLE,NBA,SG,79,79,39.5,7.9,18.9,.417,0.8,2.7,.290,7.1,16.1,.438,.438,4.4,5.8,.754,1.3,4.2,5.5,5.9,1.6,0.7,3.5,1.9,20.93 2004-05,20,CLE,NBA,SF,80,80,42.4,9.9,21.1,472,1.4,3.9,.351,8.6,17.2,499,.504,6.0,8.0,.750,1.4,6.0,7.4,7.2,2.2,0.7,3.3,1.8,27.24 2005-06,21,CLE,NBA,SF,79,79,42.5,11.1,23.1,.480,1.6,4.8,.335,9.5,18.3,.518,515,7.6,10.3,.738,0.9,6.1,7.0,6.6,1.6,0.8,3.3,2.3,31.45 2006-07,22,CLE,NBA,SF,78,78,40.9,9.9,20.8,.476,1.3,4.0,.319,8.6,16.8,.513,.507,6.3,9.0,.698,1.1,5.7,6.7,6.0,1.6,0.7,3.2,2.2,27.36 2007-08,23,CLE,NBA,SF,75,74,40.4,10.6,21.9,.484,1.5,4.8,.315,9.1,17.1,.531,.518,7.3,10.3,.712,1.8,6.1,7.9,7.2,1.8,1.1,3.4,2.2,30.07 2008-09,24,CLE,NBA,SF,81,81,37.7,9.7,19.9,489,1.6,4.7,.344,8.1,15.2,.535,.530,7.3,9.4,.780,1.3,6.3,7.6,7.2,1.7,1.1,3.0,1.7,28.48 2009-10,25,CLE,NBA,SF,76,76,39.0,10.1,20.1,.503,1.7,5.1,.333,8.4,15.0,.560,545,7.8,10.2,.767,0.9,6.4,7.3,8.6,1.6,1.0,3.4,1.6,29.79 2010-11,26,MIA, NBA, SF,79,79,38.8,9.6,18.8,.510,1.2,3.5,.330,8.4,15.3,.552,.541,6.4,8.4,.759,1.0,6.5,7.5,7.0,1.6,0.6,3.6,2.1,26.710 2011-12,27,MIA, NBA,SF,62,62,37.5,10.0,18.9,531,0.9,2.4,.362,9.1,16.5,.556,.554,6.2,8.1,.771,1.5,6.4,7.9,6.2,1.9,0.8,3.4,1.5,27.111 2012-13,28,MIA, NBA, PF,76,76,37.9,10.1,17.8,565,1.4,3.3,.406,8.7,14.5,.602,.603,5.3,7.0,.753,1.3,6.8,8.0,7.3,1.7,0.9,3.0,1.4,26.812 2013-14,29,MIA, NBA, PF,77,77,37.7,10.0,17.6,.567,1.5,4.0,.379,8.5,13.6,.622,.610,5.7,7.6,.750,1.1,5.9,6.9,6.3,1.6,0.3,3.5,1.6,27.113 2014-15,30,CLE,NBA,SF,69,69,36.1,9.0,18.5,.488,1.7,4.9,.354,7.3,13.6,.536,.535,5.4,7.7,.710,0.7,5.3,6.0,7.4,1.6,0.7,3.9,2.0,25.314 2015-16,31,CLE,NBA,SF,76,76,35.6,9.7,18.6,.520,1.1,3.7,.309,8.6,14.9,.573,.551,4.7,6.5,.731,1.5,6.0,7.4,6.8,1.4,0.6,3.3,1.9,25.315 2016-17,32,CLE,NBA,SF,52,52,37.5,9.7,18.0,.539,1.8,4.5,.389,7.9,13.5,.589,.587,4.8,6.9,.689,1.2,6.5,7.7,8.8,1.4,0.6,4.3,1.7,25.916 Career,,NBA,,1039,1038,38.9,9.8,19.6,.500,1.4,4.0,.342,8.4,15.6,.540,.535,6.1,8.3,.742,1.2,6.0,7.2,7.0,1.7,0.8,3.4,1.9,27.11718 10 seasons,CLE,NBA,,745,744,39.3,9.8,20.2,.484,1.4,4.3,.334,8.3,15.9,.525,.520,6.2,8.5,.736,1.2,5.8,7.0,7.1,1.7,0.8,3.4,1.9,27.219 4 seasons, MIA, NBA,,294,294,38.0,9.9,18.2,.543,1.2,3.4,.369,8.7,14.9,.582,.577,5.9,7.8,.758,1.2,6.4,7.6,6.7,1.7,0.7,3.4,1.7,26.92021 Problem 3. LeBron WorshipFor this problem we will marvel at how glorious a basketball player LeBron James is.Go to http://www.basketball-reference.com/players/jamesle01.html, and click on the "Share & More"menu, then click on the “Get table as CSV (for Excel)" menu item. Copy-paste-save the comma-separated-values table from the web page to a file to be named Ib-james.csv.The file should start with these 3 lines:Season, Age, Tm,Lg Pas,G,GS,MPFG,PGA,FG%,3P,3PA,3P%,2P.2PA,2P%,eFG%,FTFIAFT%,ORB,DRB, TRBAST, STLBLK,TOVPEPTS2003-04,19,CLE,NBA,SG,79,79,39.5,7.9,18.9,417,0.8,2.7,290,7.1,16.1,438, 438,4.4,5.8,754,1.34255,59,16,0.7,35,19.2092004-05,20,CLE,NBA, SF,80,80,424,9.9,21.1,472,1.4,3.9.351,85,17.2,499,504,6.0,8.0,750,14,507472,22,0.7,331872In case you wonder what the stats mean, the web page gives an explanation for each column. Just hoverthe mouse on top of the header.Write the code for this problem in a new file p3.py.a) Write a function called get_csv_data) that takes these parameters:• f: an open file object in CSV format (similar to our Ib-james.csv file), where the first line hasonly column headings, followed by lines with comma-separated data items,• string_pos_Ist: a list with index positions (starting from 0) for columns that have a stringformat. For the lb-james.csv file, this list should be (0, 2, 3, 4). All other columns are assumedto have a float format. Assume that this list is not sorted in any way.• sep: a string representing the column separator with default value ","The function get_csv_data returns a nested list we call here data_Ist, as follows:• i reads the first line from file f (with the column headings) and adds to data_lst a list with thecolumn heading strings,• after that first line, it reads file f line by line and parses each line based on the string pos_Istparameter. All columns on a line are assumed to be floats if not specifically indicated in thestring pos_Ist list. The function adds the list with parsed tokens (floats orland strings) to thedata_Ist list. Lines with at least one parsing error are ignored. E.g. trying to call float(") willraise ValueError; we skip this entire line and go to the next one.Error handling: check parameters for invalid values (e.g. sep==empty string). It is acceptable for thisfunction to throw/raise IndexError and errors related to I/O failures.

Python used to answer the question

3 Ib-james Q- Search Sheet Home Insert Page Layout Formulas Data Review View Insert. Calibri (Body) 12 A A- 5 Wrap Text General EX Delete BIU E $ - % ) .0 00 0 Conditional Format Formatting as Table Paste Merge & Center Cell Styles Format A1 v fx Season, Age,Tm,Lg,Pos,G,GS,MP,FG,FGA,FG%,3P,3PA,3P%,2P,2PA,2P%,eFG%,FT,FTA,FT%,ORB, DRB,TRB,AST,STL,BLK,TOV,PF,PTS A B F G H M P 1 Season Age, Im, Lg Pos,G,GS,MP,FG,FGA,FG%,3P,3PA,3P%,2P,2PA,2P%,eFG%,FT,FTA,FT%,ORB,DRB,TRB,AST,STL,BLK,TOV,PF,PTS 2 2003-04,19,CLE NBA SG,79,79,39.5,7.9,18.9,417,0.8,2.7, 290,7.1,16.1,438,438,4.4,5.8,754,1.3,4.2,5.5,5.9,1.6,0.7,3.5,1.9,20.9 3 2004-05,20,CLE,NBA,SF,80,80,42.4,9.9,21.1,472,1.4,3.9,.351,8.6,17.2,499,504,6.0,8.0,.750,1.4,6.0,7.4,7.2,2.2,0.7,3.3,1.8,27.2 4 2005-06,21,CLE,NBA,SF,79,79,42.5,11.1,23.1,480,1.6,4.8,335,9.5,18.3,518,515,7.6,10.3,738,0.9,6.1,7.0,6.6,1.6,0.8,3.3,2.3,31.4 5 2006-07,22,CLE,NBA,SF,78,78,40.9,9.9,20.8,476,1.3,4.0,.319,8.6,16.8,513,507,6.3,9.0,.698,1.1,5.7,6.7,6.0,1.6,0.7,3.2,2.2,27.3 6 2007-08,23,CLE,NBA, SF,75,74,40.4,10.6,21.9,.484,1.5,4.8,315,9.1,17.1,.531,518,7.3,10.3,.712,1.8,6.1,7.9,7.2,1.8,1.1,3.4,2.2,30.0 7 2008-09,24,CLE,NBA,SF,81,81,37.7,9.7,19.9,489,1.6,4.7,344,8.1,15.2,535,530,7.3,9.4,.780,1.3,6.3,7.6,7.2,1.7,1.1,3.0,1.7,28.4 8 2009-10,25,CLE,NBA,SF,76,76,39.0,10.1,20.1,.503,1.7,5.1,333,8.4,15.0,.560,545,7.8,10.2,.767,0.9,6.4,7.3,8.6,1.6,1.0,3.4,1.6,29.7 9 2010-11,26,MIA, NBA, SF,79,79,38.8,9.6,18.8,510,1.2,3.5,330,8.4,15.3,.552,.541,6.4,8.4,.759,1.0,6.5,7.5,7.0,1.6,0.6,3.6,2.1,26.7 10 2011-12,27,MIA, NBA,SF,62,62,37.5,10.0,18.9,531,0.9,2.4,.362,9.1,16.5,556,554,6.2,8.1,.771,1.5,6.4,7.9,6.2,1.9,0.8,3.4,1.5,27.1 11 2012-13,28,MIA, NBA, PF,76,76,37.9,10.1,17.8,565,1.4,3.3,406,8.7,14.5,602.603,5.3,7.0,.753,1.3,6.8,8.0,7.3,1.7,0.9,3.0,1.4,26.8 12 2013-14,29,MIA, NBA, PF,77,77,37.7,10.0,17.6,567,1.5,4.0,.379,8.5,13.6,622,610,5.7,7.6,750,1.1,5.9,6.9,6.3,1.6,0.3,3.5,1.6,27.1 13 2014-15,30,CLE,NBA,SF,69,69,36.1,9.0,18.5,488,1.7,4.9,.354,7.3,13.6,536.535,5.4,7.7,.710,0.7,5.3,6.0,7.4,1.6,0.7,3.9,2.0,25.3 14 2015-16,31,CLE,NBA,SF,76,76,35.6,9.7,18.6,520,1.1,3.7,.309,8.6,14.9,573,551,4.7,6.5,.731,1.5,6.0,7.4,6.8,1.4,0.6,3.3,1.9,25.3 15 2016-17,32,CLE,NBA,SF,52,52,37.5,9.7,18.0,539,1.8,4.5,389,7.9,13.5,589,587,4.8,6.9,.689,1.2,6.5,7.7,8.8,1.4,0.6,4.3,1.7,25.9 16 Career,NBA,1039,1038,38.9,9.8,19.6,.500,1.4,4.0,.342,8.4,15.6,540,.535,6.1,8.3,.742,1.2,6.0,7.2,7.0,1.7,0.8,3.4,1.9,27.1 17 18 10 seasons,CLE, NBA,,745,744,39.3,9.8,20.2,484,1.4,4.3,.334,8.3,15.9,525,.520,6.2,8.5,736,1.2,5.8,7.0,7.1,1.7,0.8,3.4,1.9,27.2 19 4 seasons,,MIA, NBA 294,294,38.0,9.9,18.2,543,1.2,3.4,.369,8.7,14.9,582,577,5.9,7.8,.758,1.2,6.4,7.6,6.7,1.7,0.7,3.4,1.7,26.9