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Exploration de la db avec sqlachemy
2018-02-19 04:57:03 +00:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Récupération de l'ORM!"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sqlalchemy import create_engine\n",
"from sqlalchemy.ext.declarative import declarative_base\n",
"from sqlalchemy.orm import sessionmaker\n",
"from sqlalchemy import Table, Column, Integer, ForeignKey\n",
"from sqlalchemy.orm import relationship\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"dbPath = 'recopytex.db'\n",
"engine = create_engine('sqlite:///%s' % dbPath, echo=True)\n",
"Base = declarative_base(engine)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:25,524 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS VARCHAR(60)) AS anon_1\n",
"2018-02-19 07:54:25,525 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,527 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS VARCHAR(60)) AS anon_1\n",
"2018-02-19 07:54:25,528 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,530 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"student\")\n",
"2018-02-19 07:54:25,532 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,536 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'student' AND type = 'table'\n",
"2018-02-19 07:54:25,537 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,540 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"student\")\n",
"2018-02-19 07:54:25,541 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,543 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'student' AND type = 'table'\n",
"2018-02-19 07:54:25,544 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,553 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"tribe\")\n",
"2018-02-19 07:54:25,554 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,557 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'tribe' AND type = 'table'\n",
"2018-02-19 07:54:25,558 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,560 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"tribe\")\n",
"2018-02-19 07:54:25,566 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,569 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'tribe' AND type = 'table'\n",
"2018-02-19 07:54:25,570 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,571 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"tribe\")\n",
"2018-02-19 07:54:25,573 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,574 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"tribe\")\n",
"2018-02-19 07:54:25,575 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,577 INFO sqlalchemy.engine.base.Engine PRAGMA index_info(\"sqlite_autoindex_tribe_1\")\n",
"2018-02-19 07:54:25,578 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,579 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'tribe' AND type = 'table'\n",
"2018-02-19 07:54:25,580 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,593 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"student\")\n",
"2018-02-19 07:54:25,594 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,595 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"student\")\n",
"2018-02-19 07:54:25,596 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,598 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'student' AND type = 'table'\n",
"2018-02-19 07:54:25,599 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,613 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"eval\")\n",
"2018-02-19 07:54:25,614 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,617 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'eval' AND type = 'table'\n",
"2018-02-19 07:54:25,618 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,620 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"eval\")\n",
"2018-02-19 07:54:25,621 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,623 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'eval' AND type = 'table'\n",
"2018-02-19 07:54:25,624 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,626 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"eval\")\n",
"2018-02-19 07:54:25,627 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,629 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"eval\")\n",
"2018-02-19 07:54:25,630 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,631 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'eval' AND type = 'table'\n",
"2018-02-19 07:54:25,632 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,640 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"exercise\")\n",
"2018-02-19 07:54:25,642 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,644 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'exercise' AND type = 'table'\n",
"2018-02-19 07:54:25,646 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,648 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"exercise\")\n",
"2018-02-19 07:54:25,649 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,651 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'exercise' AND type = 'table'\n",
"2018-02-19 07:54:25,652 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,655 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"exercise\")\n",
"2018-02-19 07:54:25,661 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,668 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"exercise\")\n",
"2018-02-19 07:54:25,669 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,671 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'exercise' AND type = 'table'\n",
"2018-02-19 07:54:25,671 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,678 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"question\")\n",
"2018-02-19 07:54:25,679 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,682 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'question' AND type = 'table'\n",
"2018-02-19 07:54:25,683 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,684 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"question\")\n",
"2018-02-19 07:54:25,685 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,686 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'question' AND type = 'table'\n",
"2018-02-19 07:54:25,688 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,691 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"question\")\n",
"2018-02-19 07:54:25,692 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,693 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"question\")\n",
"2018-02-19 07:54:25,694 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,698 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'question' AND type = 'table'\n",
"2018-02-19 07:54:25,699 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,704 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"score\")\n",
"2018-02-19 07:54:25,705 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,706 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'score' AND type = 'table'\n",
"2018-02-19 07:54:25,707 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,709 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"score\")\n",
"2018-02-19 07:54:25,710 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,711 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'score' AND type = 'table'\n",
"2018-02-19 07:54:25,712 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,714 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"score\")\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:25,715 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,716 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"score\")\n",
"2018-02-19 07:54:25,717 INFO sqlalchemy.engine.base.Engine ()\n",
"2018-02-19 07:54:25,718 INFO sqlalchemy.engine.base.Engine SELECT sql FROM (SELECT * FROM sqlite_master UNION ALL SELECT * FROM sqlite_temp_master) WHERE name = 'score' AND type = 'table'\n",
"2018-02-19 07:54:25,719 INFO sqlalchemy.engine.base.Engine ()\n"
]
}
],
"source": [
"class Student(Base):\n",
" \"\"\"\"\"\"\n",
" __tablename__ = 'student'\n",
" __table_args__ = {'autoload':True}\n",
" \n",
" scores = relationship(\"Score\", backref=\"student\")\n",
" \n",
" @property\n",
" def fullname(self):\n",
" if self.surname:\n",
" return ' '.join([self.name.upper(), self.surname.capitalize()])\n",
"\n",
" return self.name.upper()\n",
" \n",
" def __repr__(self):\n",
" return f\"<Student {self.fullname}>\"\n",
" \n",
" def to_df(self, columns = [\"id\", \"name\", \"surname\", \"fullname\", \"tribe_id\"]):\n",
" cara_dict = {c:self.__getattribute__(c) for c in columns}\n",
" return pd.DataFrame.from_dict([cara_dict])\n",
" \n",
" def score_df(self, with_self=True):\n",
" scs_df = pd.concat([sc.to_df() for sc in seld.scores])\n",
" if with_self:\n",
" self_df = self.to_df()\n",
" return pd.merge(scs_df, self_df, left_on=\"student_id\", right_on=\"id\")\n",
" else:\n",
" return scs_df\n",
" \n",
"\n",
"class Tribe(Base):\n",
" \"\"\"\"\"\"\n",
" __tablename__ = 'tribe'\n",
" __table_args__ = {'autoload':True}\n",
" \n",
" students = relationship(\"Student\", backref=\"tribe\")\n",
" evals = relationship(\"Eval\", backref=\"tribe\")\n",
"\n",
" def __repr__(self):\n",
" return f\"<Tribe {self.name}>\"\n",
" \n",
" def to_df(self, columns = [\"id\", \"name\", \"grade\"]):\n",
" cara_dict = {c:self.__getattribute__(c) for c in columns}\n",
" return pd.DataFrame.from_dict([cara_dict])\n",
" \n",
" def students_df(self, columns=[\"id\", \"name\", \"surname\", \"fullname\", \"tribe_id\"]):\n",
" dfs = []\n",
" for s in self.students:\n",
" dfs.append(s.to_df())\n",
" return pd.concat(dfs)\n",
"\n",
"class Eval(Base):\n",
" \"\"\"\"\"\"\n",
" __tablename__ = 'eval'\n",
" __table_args__ = {'autoload':True}\n",
" \n",
" exercises = relationship(\"Exercise\", backref=\"Eval\")\n",
" \n",
" def __repr__(self):\n",
" return f\"<Eval {self.name} for Tribe{self.tribe_id}>\"\n",
" \n",
" @property\n",
" def score_rate(self):\n",
" return sum([ex.score_rate for ex in self.exercises])\n",
"\n",
"class Exercise(Base):\n",
" \"\"\"\"\"\"\n",
" __tablename__ = 'exercise'\n",
" __table_args__ = {'autoload':True}\n",
" \n",
" questions = relationship(\"Question\", backref=\"exercise\")\n",
" \n",
" def __repr__(self):\n",
" return f\"<Exercise {self.name} for Eval{self.eval_id}>\"\n",
" \n",
" @property\n",
" def score_rate(self):\n",
" return sum([q.score_rate for q in self.questions])\n",
"\n",
"class Question(Base):\n",
" \"\"\"\"\"\"\n",
" __tablename__ = 'question'\n",
" __table_args__ = {'autoload':True}\n",
" \n",
" scores = relationship(\"Score\", backref=\"question\")\n",
" \n",
" def __repr__(self):\n",
" return f\"<Question {self.name} for Exercise{self.exercise_id}>\" \n",
" \n",
" def to_df(self,\\\n",
" columns = [\"id\", \"name\", \"score_rate\",\\\n",
" \"is_leveled\", \"exercise_id\",\\\n",
" \"competence\", \"domain\", \"comment\"],\\\n",
" ):\n",
" cara_dict = {c:self.__getattribute__(c) for c in columns}\n",
" return pd.DataFrame.from_dict([cara_dict])\n",
"\n",
"class Score(Base):\n",
" \"\"\"\"\"\"\n",
" __tablename__ = 'score'\n",
" __table_args__ = {'autoload':True}\n",
" \n",
" def to_df(self, question=True, student=True):\n",
" score_dict = {c:self.__getattribute__(c) for c in [\"student_id\", \"question_id\", \"value\"]}\n",
" score_df = pd.DataFrame.from_dict([score_dict])\n",
" \n",
" # pas pratique la gestion des suffixes\n",
" # Il faudrait changer le nom des colonnes\n",
" if question:\n",
" qu_df = self.question.to_df()\n",
" score_df = pd.merge(score_df, qu_df,\\\n",
" left_on='question_id', right_on='id',\\\n",
" suffixes=('_score', '_question'))\n",
" \n",
" if student:\n",
" s_df = self.student.to_df()\n",
" score_df = pd.merge(score_df, s_df,\\\n",
" left_on='student_id', right_on='id',\\\n",
" suffixes=('_score', '_student'))\n",
" return score_df\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def loadSession():\n",
" \"\"\"\"\"\"\n",
" metadata = Base.metadata\n",
" Session = sessionmaker(bind=engine)\n",
" session = Session()\n",
" return session"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"session = loadSession()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:25,781 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
"2018-02-19 07:54:25,783 INFO sqlalchemy.engine.base.Engine SELECT tribe.id AS tribe_id, tribe.name AS tribe_name, tribe.grade AS tribe_grade \n",
"FROM tribe\n",
"2018-02-19 07:54:25,784 INFO sqlalchemy.engine.base.Engine ()\n"
]
}
],
"source": [
"tribes = session.query(Tribe).all()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Tribe 302>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = tribes[0]\n",
"t"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>grade</th>\n",
" <th>id</th>\n",
" <th>name</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3e</td>\n",
" <td>1</td>\n",
" <td>302</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" grade id name\n",
"0 3e 1 302"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t.to_df()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:25,841 INFO sqlalchemy.engine.base.Engine SELECT eval.id AS eval_id, eval.name AS eval_name, eval.term AS eval_term, eval.type AS eval_type, eval.comment AS eval_comment, eval.tribe_id AS eval_tribe_id \n",
"FROM eval \n",
"WHERE ? = eval.tribe_id\n",
"2018-02-19 07:54:25,843 INFO sqlalchemy.engine.base.Engine (1,)\n",
"2018-02-19 07:54:25,847 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:25,852 INFO sqlalchemy.engine.base.Engine (1,)\n",
"2018-02-19 07:54:25,858 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,859 INFO sqlalchemy.engine.base.Engine (1,)\n",
"2018-02-19 07:54:25,863 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,873 INFO sqlalchemy.engine.base.Engine (2,)\n",
"Evaluation DS1 mise en jambe sur 0\n",
"Ex 1 - Prendre la température sur 0\n",
"\tQu 1 Lecture du thermomètre sur 0\n",
"\tQu 2 Suivre programme de calculs sur 0\n",
"\tQu 2.c Renverser un programme de calculs sur 0\n",
"Ex 2 - Maladroite! sur 0\n",
"\tQu Lire le tableau et le graphique sur 0\n",
"\tQu Décomposer le problème sur 0\n",
"\tQu Manipuler les grandeurs sur 0\n",
"\tQu Mener à bien les calculs sur 0\n",
"\tQu Rédaction sur 0\n",
"--------------------\n",
"2018-02-19 07:54:25,876 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:25,878 INFO sqlalchemy.engine.base.Engine (5,)\n",
"2018-02-19 07:54:25,880 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,881 INFO sqlalchemy.engine.base.Engine (12,)\n",
"2018-02-19 07:54:25,883 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,885 INFO sqlalchemy.engine.base.Engine (13,)\n",
"2018-02-19 07:54:25,887 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,888 INFO sqlalchemy.engine.base.Engine (14,)\n",
"2018-02-19 07:54:25,891 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,893 INFO sqlalchemy.engine.base.Engine (15,)\n",
"Evaluation DS2 sur 0\n",
"Ex 1 - Techniques sur 0\n",
"\tQu 1 Ordre et écriture sur 0\n",
"\tQu 2 et 3 Diviseur et décomposition sur 0\n",
"Ex 2 - Agrandissement sur 0\n",
"\tQu Comment agrandir sur 0\n",
"\tQu Rédaction et explications sur 0\n",
"Ex 3 - Confiseries sur 0\n",
"\tQu 1 Nombre bonbons sur 0\n",
"\tQu 2 et 3 Écriture des probabiltés sur 0\n",
"\tQu 3 Plus probable sur 0\n",
"\tQu 4 Calculs de compositions sur 0\n",
"\tQu 4.b Raisonnement sur 0\n",
"Ex 4 - Rangement sur 0\n",
"\tQu Choix des opérations sur 0\n",
"\tQu Explications sur 0\n",
"--------------------\n",
"2018-02-19 07:54:25,896 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:25,899 INFO sqlalchemy.engine.base.Engine (8,)\n",
"2018-02-19 07:54:25,902 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,903 INFO sqlalchemy.engine.base.Engine (22,)\n",
"Evaluation Pyramide de pièces sur 0\n",
"Ex sur 0\n",
"\tQu Clarté des explications, utilisation du vocabulaire sur 0\n",
"\tQu Mener un raisonnement sur 0\n",
"\tQu Mener à bien les calculs sur 0\n",
"\tQu Dessins et tableur sur 0\n",
"\tQu Rendu à temps sur 0\n",
"--------------------\n",
"2018-02-19 07:54:25,912 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:25,916 INFO sqlalchemy.engine.base.Engine (10,)\n",
"2018-02-19 07:54:25,919 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,920 INFO sqlalchemy.engine.base.Engine (27,)\n",
"2018-02-19 07:54:25,923 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,926 INFO sqlalchemy.engine.base.Engine (28,)\n",
"2018-02-19 07:54:25,929 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,930 INFO sqlalchemy.engine.base.Engine (29,)\n",
"2018-02-19 07:54:25,932 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,933 INFO sqlalchemy.engine.base.Engine (30,)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Evaluation DS3 sur 17.0\n",
"Ex 1 -QCM sur 4\n",
"\tQu sur 4\n",
"Ex 2 sur 5.0\n",
"\tQu Explications des calculs sur 1.5\n",
"\tQu Formule tableur sur 1\n",
"\tQu Choix des opérations sur 1\n",
"\tQu Manipulation des grands nombres sur 0.5\n",
"\tQu Comparaison sur 1\n",
"Ex 3 sur 5\n",
"\tQu 1 Démontrer parallèle sur 1\n",
"\tQu 2 Reconnaître Thalès sur 1\n",
"\tQu 2 Calculer EC sur 1\n",
"\tQu 2 Rédaction sur 1\n",
"\tQu 2 Conversions sur 1\n",
"Ex 4 sur 3\n",
"\tQu Utiliser les bonnes informations sur 1\n",
"\tQu Choix des calculs sur 1\n",
"\tQu Reconnaître fractions sur 1\n",
"--------------------\n",
"2018-02-19 07:54:25,941 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:25,944 INFO sqlalchemy.engine.base.Engine (14,)\n",
"2018-02-19 07:54:25,947 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,949 INFO sqlalchemy.engine.base.Engine (38,)\n",
"2018-02-19 07:54:25,952 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,953 INFO sqlalchemy.engine.base.Engine (39,)\n",
"2018-02-19 07:54:25,959 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,961 INFO sqlalchemy.engine.base.Engine (40,)\n",
"Evaluation DM noel sur 11\n",
"Ex 1 techniques de calculs sur 5\n",
"\tQu 1 Fractions à trou sur 1\n",
"\tQu 2 Calculs fraction sur 1\n",
"\tQu 3 Evaluer sur 1\n",
"\tQu 3 Priorité de calculs sur 1\n",
"\tQu 4 Réduire une expression sur 1\n",
"Ex 2 Thalès sur 2\n",
"\tQu Rédaction du théorème de Thalès sur 1\n",
"\tQu Utilisation du théorème sur 1\n",
"Ex 3 Mes bonbons préférés sur 4\n",
"\tQu 1 Nombre d'issues sur 1\n",
"\tQu 2 à 5 Calculer un probabilité sur 1\n",
"\tQu 2 à 5 Vocabulaire et explications sur 1\n",
"\tQu 5 Comparaison de probabilité sur 1\n",
"--------------------\n",
"2018-02-19 07:54:25,972 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:25,975 INFO sqlalchemy.engine.base.Engine (16,)\n",
"2018-02-19 07:54:25,977 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,978 INFO sqlalchemy.engine.base.Engine (43,)\n",
"2018-02-19 07:54:25,980 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,983 INFO sqlalchemy.engine.base.Engine (44,)\n",
"2018-02-19 07:54:25,986 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,988 INFO sqlalchemy.engine.base.Engine (45,)\n",
"2018-02-19 07:54:25,990 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,991 INFO sqlalchemy.engine.base.Engine (46,)\n",
"2018-02-19 07:54:25,994 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,996 INFO sqlalchemy.engine.base.Engine (47,)\n",
"2018-02-19 07:54:25,997 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:25,998 INFO sqlalchemy.engine.base.Engine (51,)\n",
"Evaluation DS4 sur 38\n",
"Ex 1 QCM sur 6\n",
"\tQu 1 à 3 sur 3\n",
"\tQu 4 à 6 sur 3\n",
"Ex 2 Bien assis? sur 5\n",
"\tQu Reconnaître Thalès sur 1\n",
"\tQu Rédaction sur 2\n",
"\tQu Les calculs sur 2\n",
"Ex 3 L'urne sur 6\n",
"\tQu 1 à 3 Calculer une probabillté sur 2\n",
"\tQu 2 Comparer des probabilités sur 1\n",
"\tQu 2 Penser au probabilités sur 1\n",
"\tQu 3 Changement de situation sur 2\n",
"Ex 4 Programme de calculs sur 7\n",
"\tQu Phrase de Sophie et Gabriel sur 3\n",
"\tQu Phrase de Martin sur 2\n",
"\tQu Développer (Faïza) sur 1\n",
"\tQu Reconnaître le double sur 1\n",
"Ex 5 Roule cycliste sur 8\n",
"\tQu 1.a Calcul de la distance sur 1\n",
"\tQu 1.b Formule tableur sur 1\n",
"\tQu 1.c Construction de la fonction sur 1\n",
"\tQu 1.d Calcul du temps sur 1\n",
"\tQu 2 a et b Lecture graphique sur 2\n",
"\tQu 2.c Calcul de la distance sur 1\n",
"\tQu d Reconnaître la proportionnalité sur 1\n",
"Ex Présentation sur 6\n",
"\tQu sur 6\n",
"--------------------\n",
"2018-02-19 07:54:26,001 INFO sqlalchemy.engine.base.Engine SELECT exercise.id AS exercise_id, exercise.name AS exercise_name, exercise.eval_id AS exercise_eval_id, exercise.date AS exercise_date, exercise.comment AS exercise_comment \n",
"FROM exercise \n",
"WHERE ? = exercise.eval_id\n",
"2018-02-19 07:54:26,004 INFO sqlalchemy.engine.base.Engine (21,)\n",
"2018-02-19 07:54:26,006 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,007 INFO sqlalchemy.engine.base.Engine (64,)\n",
"2018-02-19 07:54:26,010 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,011 INFO sqlalchemy.engine.base.Engine (65,)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:26,012 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,013 INFO sqlalchemy.engine.base.Engine (66,)\n",
"2018-02-19 07:54:26,015 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,016 INFO sqlalchemy.engine.base.Engine (67,)\n",
"2018-02-19 07:54:26,017 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,018 INFO sqlalchemy.engine.base.Engine (68,)\n",
"2018-02-19 07:54:26,020 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,021 INFO sqlalchemy.engine.base.Engine (69,)\n",
"2018-02-19 07:54:26,023 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,024 INFO sqlalchemy.engine.base.Engine (70,)\n",
"2018-02-19 07:54:26,025 INFO sqlalchemy.engine.base.Engine SELECT question.id AS question_id, question.name AS question_name, question.score_rate AS question_score_rate, question.is_leveled AS question_is_leveled, question.exercise_id AS question_exercise_id, question.competence AS question_competence, question.domain AS question_domain, question.comment AS question_comment \n",
"FROM question \n",
"WHERE ? = question.exercise_id\n",
"2018-02-19 07:54:26,027 INFO sqlalchemy.engine.base.Engine (91,)\n",
"Evaluation DNB blanc1 sur 100\n",
"Ex 1 - QCM sur 10\n",
"\tQu 1 QCM sur 2\n",
"\tQu 2 QCM sur 2\n",
"\tQu 3 QCM sur 2\n",
"\tQu 4 QCM sur 2\n",
"\tQu 5 QCM sur 2\n",
"Ex 2 - Boite de chocolat sur 10\n",
"\tQu 1 à 3 Calcul proba sur 4\n",
"\tQu 2 Modification situation sur 3\n",
"\tQu 3 Nouvelle composition sur 3\n",
"Ex 3 - Scratch sur 10\n",
"\tQu 1 Que fait le programme sur 3\n",
"\tQu 2 Réponse à 13 sur 4\n",
"\tQu 3 Age pour conduire sur 3\n",
"Ex 4 - Programme de calcul sur 15\n",
"\tQu 1 Application du calcul sur 5\n",
"\tQu 2 Renverser le calcul sur 4\n",
"\tQu 3 Appliquer à x et developper sur 6\n",
"Ex 5 - Macaron sur 15\n",
"\tQu 1 Proportionnalité sur 3\n",
"\tQu 2 et 4 Lecture graphique sur 4\n",
"\tQu 3 Écart de température sur 4\n",
"\tQu 4 Satisfaction sur 4\n",
"Ex 6 - Inspecteur sur 15\n",
"\tQu 1 Hypothèses sur 2\n",
"\tQu 1 Reconnaissance des théorèmes sur 3\n",
"\tQu 1 Calculs dans les théorèmes sur 4\n",
"\tQu 1 Réponse à la question sur 3\n",
"\tQu 2 Confiance au pilote sur 3\n",
"Ex 7 - La tache sur 15\n",
"\tQu Décomposition du problème sur 3\n",
"\tQu Lecture des informations sur 4\n",
"\tQu Calculs sensé sur 4\n",
"\tQu Clarté des explications sur 4\n",
"Ex Présentation sur 10\n",
"\tQu sur 10\n",
"--------------------\n"
]
}
],
"source": [
"for ev in t.evals:\n",
" print(f\"Evaluation {ev.name} sur {ev.score_rate}\")\n",
" for ex in ev.exercises:\n",
" print(f\"Ex {ex.name} sur {ex.score_rate}\")\n",
" for qu in ex.questions:\n",
" print(f\"\\tQu {qu.name} {qu.comment} sur {qu.score_rate}\")\n",
" print(\"-\"*20)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:26,040 INFO sqlalchemy.engine.base.Engine SELECT score.id AS score_id, score.question_id AS score_question_id, score.student_id AS score_student_id, score.value AS score_value \n",
"FROM score\n",
"2018-02-19 07:54:26,043 INFO sqlalchemy.engine.base.Engine ()\n"
]
}
],
"source": [
"sc = session.query(Score).all()[123]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2018-02-19 07:54:26,223 INFO sqlalchemy.engine.base.Engine SELECT student.id AS student_id, student.name AS student_name, student.surname AS student_surname, student.mail AS student_mail, student.commment AS student_commment, student.tribe_id AS student_tribe_id \n",
"FROM student \n",
"WHERE student.id = ?\n",
"2018-02-19 07:54:26,225 INFO sqlalchemy.engine.base.Engine (10,)\n"
]
},
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>question_id</th>\n",
" <th>student_id</th>\n",
" <th>value</th>\n",
" <th>comment</th>\n",
" <th>competence</th>\n",
" <th>domain</th>\n",
" <th>exercise_id</th>\n",
" <th>id_score</th>\n",
" <th>is_leveled</th>\n",
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" <th>fullname</th>\n",
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" <td>Cher</td>\n",
" <td>4opérations</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
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" question_id student_id value comment competence \\\n",
"0 4 10 3 Lire le tableau et le graphique Cher \n",
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" domain exercise_id id_score is_leveled name_score score_rate \\\n",
"0 4opérations 2 4 True 0 \n",
"\n",
" fullname id_student name_student surname tribe_id \n",
"0 ATTOUMANE ALI Fatima 10 ATTOUMANE ALI Fatima 1 "
]
},
"execution_count": 11,
"metadata": {},
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}
],
"source": [
"sc.to_df()"
]
},
{
"cell_type": "code",
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},
"outputs": [],
"source": []
}
],
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