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authorEugeniy E. Mikhailov <evgmik@gmail.com>2024-10-23 23:11:25 -0400
committerEugeniy E. Mikhailov <evgmik@gmail.com>2024-10-23 23:11:25 -0400
commitec3f2c041e135a7ced9dc5b654e364f0bab0765e (patch)
tree3d5fed30fadcdf3ec7688589fe18b56e11a272a5 /toBlackboardCSV.py
parent9aea1f65dc70be3d2ed889caa64c2f4072bdfcc4 (diff)
downloadGradeBook-ec3f2c041e135a7ced9dc5b654e364f0bab0765e.tar.gz
GradeBook-ec3f2c041e135a7ced9dc5b654e364f0bab0765e.zip
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Diffstat (limited to 'toBlackboardCSV.py')
-rwxr-xr-xtoBlackboardCSV.py29
1 files changed, 19 insertions, 10 deletions
diff --git a/toBlackboardCSV.py b/toBlackboardCSV.py
index 3694edc..7804070 100755
--- a/toBlackboardCSV.py
+++ b/toBlackboardCSV.py
@@ -10,32 +10,41 @@ import sqlite3
infile = sys.argv[1]
con = sqlite3.connect(infile)
-#dIn=pd.read_sql("Select * from 'GradesTable' where GroupName='student'", con)
-dIn=pd.read_sql("Select * from 'GradesTable'", con)
+# dIn=pd.read_sql("Select * from 'GradesTable' where GroupName='student'", con)
+dIn = pd.read_sql("Select * from 'GradesTable'", con)
dOut = dIn.copy()
# replacing user names in accordance with BlackBoard
-dOut['UserName'] = dOut['UserName'].str.replace('@.*$', '', regex=True)
-dOut.rename(columns={'UserName':'Username'}, inplace=True)
+dOut["UserName"] = dOut["UserName"].str.replace("@.*$", "", regex=True)
+dOut.rename(columns={"UserName": "Username"}, inplace=True)
# exclude inforows
-dOut = dOut.loc[ dOut['GroupName'].isin(['student']) ]
+dOut = dOut.loc[dOut["GroupName"].isin(["student"])]
# remove unneeded info cols
-infoCol=['FirstName', 'LastName', 'GroupName', 'UserHiddenColums', 'UserHiddenGroups', 'UserHiddenGradeCategories', 'SectionNum', 'IdNum']
+infoCol = [
+ "FirstName",
+ "LastName",
+ "GroupName",
+ "UserHiddenColums",
+ "UserHiddenGroups",
+ "UserHiddenGradeCategories",
+ "SectionNum",
+ "IdNum",
+]
dOut = dOut.drop(infoCol, axis=1)
# drop non gradable columns
-cCat = (dIn['UserName'] == '_Col_Category_')
+cCat = dIn["UserName"] == "_Col_Category_"
colToDrop = []
for c in dOut.columns:
- if c == 'Username':
+ if c == "Username":
continue
category = dIn[cCat][c][0]
- if category not in ['HomeWork', 'MidTerm', 'FinalExam', 'weighted_column']:
+ if category not in ["HomeWork", "MidTerm", "FinalExam", "weighted_column"]:
colToDrop.append(c)
dOut = dOut.drop(colToDrop, axis=1)
-dOut.to_csv('BlackBoard.csv', index=False)
+dOut.to_csv("BlackBoard.csv", index=False)