After I run my code below, i receive all the data from my storedproc. However, the column names are not returned
import pandas as pd
import pyodbc
conn = pyodbc.connect('Driver={SQL Server};'
'Server=PMI0317\Prod;'
'Database=Warehouse;'
'Trusted_Connection=yes;'
)
cursor = conn.cursor()
cursor.execute('SET NOCOUNT ON;EXEC Test.storedproc')
results = cursor.fetchall()
df = pd.DataFrame.from_records(results)
df
Out[113]:
0 1 2 3 4 5 ... 15 16 17 18 19 20
0 9593746 0 COOKCHILDRENS.ORG 1 1.0 Dog ... 0 0 0 0 0 2
1 9593723 0 gmail.com 1 1.0 Dog ... 0 0 12 16 0 0
list(df.columns)
Out[114]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
As you see, it returns my data but column names are changes to numeric. why does this happen? What do I need to change in results function to retain original column names?
CodePudding user response:
you can add the column name from cursor description:
df = pd.DataFrame.from_records(results, columns = [column[0] for column in cursor.description])
alternatively, you could use read_sql
and directly load into pandas :
conn = pyodbc.connect('Driver={SQL Server};'
'Server=PMI0317\Prod;'
'Database=Warehouse;'
'Trusted_Connection=yes;'
)
df = pd.read_sql('exec Test.storedproc',conn)