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| Set the grades according to the points given to the exercises. | | Set the grades according to the points given to the exercises. |
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| | I encountered some problems while trying to add a long file: Internal server error. Thus, there is many parts. |
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| == Theory == | | == Theory == |
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| Save the database as a csv file and read it. Choose the exercises and run the python script. | | Save the database as a csv file and read it. Choose the exercises and run the python script. See the script at |
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| <syntaxhighlight lang="python">
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| #Python3
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| import csv
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| import math
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| import glob
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| import numpy as np
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| def getExeNames(titles):
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| ti = []
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| for title in titles[1:]:
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| ti.append(title)
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| return ti
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| def getRow(row):
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| r = [row[0]]
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| points = []
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| for i,p in enumerate( row[1:] ):
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| #Convert the numbers separated by space into a array of integers
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| #Fetch the max value of and return those.
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| #print( p )
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| #print( [(i) for i in p.strip().split(' ')] )
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| values = [int('0'+i) for i in p.strip().split(' ')]
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| #print( values );
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| r.append( max( values ))
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| return r
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| </syntaxhighlight>
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| == Part 2 ==
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| <syntaxhighlight>
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| def removeFieldName(a, name):
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| #https://stackoverflow.com/questions/15575878/how-do-you-remove-a-column-from-a-structured-numpy-array
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| names = list(a.dtype.names)
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| if name in names:
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| names.remove(name)
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| b = a[names]
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| return b
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| def leaveFields(a, ns):
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| names = list(a.dtype.names)
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| #Find the corresponding names of fields that stay
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| fields = []
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| for n in ns:
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| res = [i for i in names if n in i]
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| fields.append( res[0] )
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| #Find the difference and drop those---except the one named "Name"
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| #https://www.w3resource.com/python-exercises/list/python-data-type-list-exercise-19.php
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| diff1 = list( set(names) - set(fields) )
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| diff2 = list( set(fields) - set(names) )
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| diff = diff1 + diff2
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| diff.remove("Name")
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| for n in diff:
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| a = removeFieldName(a, n)
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| return a
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| </syntaxhighlight>
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| == Part 3 ==
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| <syntaxhighlight lang='python'>
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| il = []
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| tul = []
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| kpl = []
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| if (0):
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| kpl.append( '1: Elävä solu ' )
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| fil.append( 'bg7_1.csv' )
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| tul.append( ['P1', 'P2', 'P3', 'S1', 'T1','YT1'] )
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| kpl.append( '4: Levät ja planktoneläimet ovat vesien runsaimpia eliöitä' )
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| fil.append( 'bg7_4.csv' )
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| tul.append( ['P1'] )
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| name = "name1"
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| name = "name2"
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| if (0):
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| kpl.append( '3: Metsätyypiy ja puulajit' )
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| fil.append( 'bg8_3.csv' )
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| tul.append( ['P1', 'P2'] )
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| name = "name6"
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| name = "name7"
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| if (1):
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| #9. luokka
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| kpl.append( '2: Solut -- elämän legopalikat' )
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| fil.append( 'bg9_2.csv' )
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| tul.append( ['P1', 'P2', 'S3'] )
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| kpl.append( '3: Kudokset' )
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| fil.append( 'bg9_3.csv' )
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| tul.append( ['P1'] )
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| name = "name11"
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| name = "name12"
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| </syntaxhighlight>
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| == Part 4 ==
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| <syntaxhighlight>
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| ka = 0
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| lkm = 0
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| print("\n\n")
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| print('Hei')
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| print('Biologian tehtäväsi tähän mennessä. Lopussa arvosana seisoo.')
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| print('Tarkista ainakin, että olet teet ne tehtävä mitkä olen merkinnyt arvosanalla neljä (4). Jos olet tehnyt, mutta arvosanasi on 4, kerro minulle. ')
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| print('Saat parannella ja lisäillä tehtäviä, jos haluat paremman numeron. Aikaa on viikon verran.')
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| print('- - - - - - - - - - - - - - - - - - - - -')
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| ave = 0
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| for i, tcsv in enumerate( fil ):
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| lkm = lkm + 1
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| names = []
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| with open( tcsv ) as csvfile:
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| print( kpl[i] )
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| print( "-"*len( kpl[i] ) )
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| readCSV = csv.reader(csvfile, delimiter=',')
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| #Read the column names
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| eNames = getExeNames(next(readCSV))
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| eNames.insert(0,'Name')
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| formats = ['u4']*( len( eNames ) - 1)
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| formats.insert(0, 'U30')
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| #print( eNames )
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| # Create the array
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| rr = [];
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| for row in readCSV:
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| r = getRow( row )
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| rr.append( tuple(r) )
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| points = np.array( (rr), dtype={'names': eNames, 'formats':formats})
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| #print( points )
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| #Create the grading table.
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| formatsGrade = ['f4']*( len( eNames ) - 1)
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| formatsGrade.insert(0, 'U30')
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| grades = np.array( (rr), dtype={'names': eNames, 'formats':formatsGrade})
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| #print( grades )
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| #print( eNames )
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| #print( len( eNames ) )
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| for n in eNames[1:]:
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| #print( grades[n] )
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| grades[n] = grades[n]/ max( max( grades[n] ), 1 )
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| grades[n] = np.maximum( np.round( ( 4*( 6/(1-0.1)*(grades[n]-1)+10 ))/4, 2), 4)
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| #print( grades )
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|
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| #Get the needed columns (exercises) only
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| grades = leaveFields(grades, tul[i])
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| #print( grades.dtype.names[1:] )
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| #print( grades )
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|
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| if 1:
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| names = grades['Name']
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| nameInd = [j for j,i in enumerate(names) if name.lower() in i.lower()]
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| average = 4
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| if nameInd:
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| nameInd = nameInd[0]
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| pp = list( grades[nameInd] )
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| print( pp[0] )
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| for ni, n in enumerate( grades.dtype.names[1:] ):
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| print( "Arvosana: " + str(pp[ni+1]) , end="\t" )
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| print(n)
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| average = np.round( np.average( pp[1:] ), 1)
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| else:
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| print("Et ole tehnyt yhtään tehtävää tästä luvusta! Tee vielä:")
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| for ni, n in enumerate( grades.dtype.names[1:] ):
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| print(n)
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| print( "-> Keskiarvo: " + str( average ) )
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| ave = ave + average
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| print("\n")
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| print('---------------')
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| print( 'Kaikkien tehtävien keskiarvo: ', np.round( ave/lkm, 1) )
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| print("\n\n")
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| </syntaxhighlight>
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| == Part 5 ==
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| <syntaxhighlight lang="python">
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| </syntaxhighlight>
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| == Part 6 ==
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| <syntaxhighlight lang="python">
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|
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| </syntaxhighlight>
| | https://gist.github.com/markkuleino/bea1d81b41b233a8a3dbb2b6659a2222 |
