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
CodePudding user response:
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')