EOppi student grading: Difference between revisions

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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.
I encountered some problems while trying to add a long file: Internal server error. Thus, there is many parts.


== Theory ==
== Theory ==


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
 
<syntaxhighlight lang="python">
#Python3
 
import csv
import math
import glob
import numpy as np
 
def getExeNames(titles):
    ti = []
    for title in titles[1:]:
        ti.append(title)
    return ti
 
def getRow(row):
    r = [row[0]]
 
    points = []
    for i,p in enumerate( row[1:] ):
        #Convert the numbers separated by space into a array of integers
        #Fetch the max value of and return those.
        #print( p )
        #print( [(i) for i in p.strip().split(' ')] )
        values = [int('0'+i) for i in p.strip().split(' ')]
        #print( values );
        r.append( max( values ))
 
    return r
 
 
def removeFieldName(a, name):
    #https://stackoverflow.com/questions/15575878/how-do-you-remove-a-column-from-a-structured-numpy-array
    names = list(a.dtype.names)
    if name in names:
        names.remove(name)
    b = a[names]
    return b
 
def leaveFields(a, ns):
    names = list(a.dtype.names)
 
    #Find the corresponding names of fields that stay
    fields = []
    for n in ns:
        res = [i for i in names if n in i]
        fields.append( res[0] )
 


</syntaxhighlight>
https://gist.github.com/markkuleino/bea1d81b41b233a8a3dbb2b6659a2222

Latest revision as of 19:59, 5 March 2021

Introduction

Set the grades according to the points given to the exercises.

I encountered some problems while trying to add a long file: Internal server error. Thus, there is many parts.

Theory

Save the database as a csv file and read it. Choose the exercises and run the python script. See the script at

https://gist.github.com/markkuleino/bea1d81b41b233a8a3dbb2b6659a2222

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