/ infos /处没有OperationalError Django导入在python中正常工作的sqlite3数据库时没有此类表Django

Question

I've searched on stackover and Django official website, and other forums, but didn't find the answer that I needed. I have this error while trying to make queries on an imported existing sqlite3 database, given that I don't want to generate a model, I just need to query the exisiting database and knowing that the same code works fine in python. Here is the code : Any help will be greatly appreciated!

def get_classification_result(carcat):
      from sklearn.tree import DecisionTreeClassifier
      tree_object = DecisionTreeClassifier (criterion='entropy', max_depth=3, random_state=0)

      from sklearn.svm import SVC
      svm_object = SVC (probability=True)

      # from sklearn.naive_bayes import GaussianNB
      # bayes_object = GaussianNB()
      from sklearn.neural_network import MLPClassifier
      mlp = MLPClassifier (solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1)
      from sklearn.model_selection import cross_val_score
      DP = np.zeros((3, 20, 2))
      database_loc = '..\\Data\\compData.db'
      database = sqlite3.connect(database_loc)
      data = database.cursor()
      start_time = time.time()
      train_patients_count = 50
      test_patients_count = 20
      X_array = []
      Y_array = []
      patientIDs = data.execute('SELECT DISTINCT PatientGuid FROM training_patient').fetchall()  # patientIDs is list of all patients
      # Error happens here!!!
      os.system("clear")

Answer 1

I've searched on stackover and Django official website, and other forums, but didn't find the answer that I needed. I have this error while trying to make queries on an imported existing sqlite3 database, given that I don't want to generate a model, I just need to query the exisiting database and knowing that the same code works fine in python. Here is the code : Any help will be greatly appreciated!

def get_classification_result(carcat):
      from sklearn.tree import DecisionTreeClassifier
      tree_object = DecisionTreeClassifier (criterion='entropy', max_depth=3, random_state=0)

      from sklearn.svm import SVC
      svm_object = SVC (probability=True)

      # from sklearn.naive_bayes import GaussianNB
      # bayes_object = GaussianNB()
      from sklearn.neural_network import MLPClassifier
      mlp = MLPClassifier (solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1)
      from sklearn.model_selection import cross_val_score
      DP = np.zeros((3, 20, 2))
      database_loc = '..\\Data\\compData.db'
      database = sqlite3.connect(database_loc)
      data = database.cursor()
      start_time = time.time()
      train_patients_count = 50
      test_patients_count = 20
      X_array = []
      Y_array = []
      patientIDs = data.execute('SELECT DISTINCT PatientGuid FROM training_patient').fetchall()  # patientIDs is list of all patients
      # Error happens here!!!
      os.system("clear")

Answer 2

I've searched on stackover and Django official website, and other forums, but didn't find the answer that I needed. I have this error while trying to make queries on an imported existing sqlite3 database, given that I don't want to generate a model, I just need to query the exisiting database and knowing that the same code works fine in python. Here is the code : Any help will be greatly appreciated!

def get_classification_result(carcat):
      from sklearn.tree import DecisionTreeClassifier
      tree_object = DecisionTreeClassifier (criterion='entropy', max_depth=3, random_state=0)

      from sklearn.svm import SVC
      svm_object = SVC (probability=True)

      # from sklearn.naive_bayes import GaussianNB
      # bayes_object = GaussianNB()
      from sklearn.neural_network import MLPClassifier
      mlp = MLPClassifier (solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1)
      from sklearn.model_selection import cross_val_score
      DP = np.zeros((3, 20, 2))
      database_loc = '..\\Data\\compData.db'
      database = sqlite3.connect(database_loc)
      data = database.cursor()
      start_time = time.time()
      train_patients_count = 50
      test_patients_count = 20
      X_array = []
      Y_array = []
      patientIDs = data.execute('SELECT DISTINCT PatientGuid FROM training_patient').fetchall()  # patientIDs is list of all patients
      # Error happens here!!!
      os.system("clear")