need to save them into different data frames
query = '''select name from my_table where class = {} and student_number > {} and student_number <= {} +10 group by name''' inputs = list(range(0, 100,10)) classes = [1,2,3,4]
the expected result is running these batches for each class individually. e.g df_class1, df_class2 df_class3, df_class4
query = ''' select name from my_table where class = {} and student_number > {} and student_number <= {} +50 group by name''' inputs = list(range(0, 100,10)) classes = [1,2,3,4] not sure on this part ##for i in inputs: for c in classes: query.format(c, i, i)## results = pd.DataFrame() for input, query in queries.items(): res = my_db.execute(query) results = results.append(pd.DataFrame(res))
each results as sth like ;df_class1, df_class2 df_class3, df_class4
Advertisement
Answer
You can use formatted string to save the resultant dataframe for each iteration.
inputs = list(range(0, 100,10)) classes = [1,2,3,4] for i in inputs: for c in classes: query.format(c, i, i) res = my_db.execute(query) df = pd.DataFrame(res) df.to_csv(f'result_{i}_{c}.csv')