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canvasapp
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Merge branch 'master' of http://192.168.1.6/phowell/canvasapp

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Coding with Peter 2023-05-03 18:59:41 -07:00
parent 41c493a78f 10fd12014b
commit d5ae9960f3
1 changed files with 8 additions and 3 deletions
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11
stats.py
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@ -50,6 +50,7 @@ from collections import defaultdict
all_grades_file = f"cache/grades_all.csv"
all_courses_file = f"cache/course_grades_all.csv"
all_courses_file2 = f"cache/course_grades_compact.csv"
def sem_num_to_code(sem_num):
p = re.search(r'^(\d\d\d\d)(\d\d)$', sem_num)
@ -234,7 +235,7 @@ def above_70(li,maximum):
above = list(filter(lambda x: x >= cutoff, li))
return round(len(above)/len(li), 3)
def process_one_course_grades(block, output, teacher_to_code, course_to_code):
def process_one_course_grades(block, output, out_c, teacher_to_code, course_to_code):
fxns = [mean, median, stdev, min, max, len]
c_id = block[0][0]
sem = block[0][1]
@ -271,6 +272,7 @@ def process_one_course_grades(block, output, teacher_to_code, course_to_code):
#output.writerow( [sem2, crn, course_code, "current score", teacher, mode, cur_pct_passed, cur_mean, cur_median, cur_stdev, cur_min, cur_max, cur_count] )
#output.writerow( [crs_code, pocr, tch_code, mode, final_pct_passed, final_mean, final_median, final_stdev, final_min, final_max, scl_mean, scl_median, scl_stdev, scl_min, scl_max, final_count] )
output.writerow( [crs_code, good_code, pocr, tch_code, mode, final_pct_passed, scl_mean, scl_median, scl_stdev, scl_min, scl_max, final_count] )
out_c.writerow([crs_code, good_code, pocr, tch_code, mode, final_pct_passed, scl_mean, scl_median, scl_stdev, final_count])
except Exception as e:
print("Exception:", e)
@ -308,6 +310,9 @@ def process_grades():
codecs.open('cache/teacher_lookup_codes.json','w','utf-8').write( json.dumps( [teacher_to_code, code_to_teacher], indent=2) )
codecs.open('cache/course_lookup_codes.json','w','utf-8').write( json.dumps( [course_to_code, code_to_course], indent=2) )
out_compact = codecs.open(all_courses_file2,'w','utf-8')
out_c = csv.writer(out_compact)
out_c.writerow("course_code course pocr_status teacher_code mode percent_passed scl_mean scl_median scl_stdev count".split(" "))
with open(all_courses_file, "w", newline="") as output_f:
output = csv.writer(output_f)
output.writerow("course_code course pocr_status teacher_code mode percent_passed scl_mean scl_median scl_stdev scl_min scl_max count".split(" "))
@ -324,14 +329,14 @@ def process_grades():
if index != current_index:
if block:
process_one_course_grades(block, output, teacher_to_code, course_to_code)
process_one_course_grades(block, output, out_c, teacher_to_code, course_to_code)
block = []
current_index = index
block.append(row)
if block:
process_one_course_grades(block, output, teacher_to_code, course_to_code)
process_one_course_grades(block, output, out_c, teacher_to_code, course_to_code)