在 sql-server 连接器中,adodbapi
是唯一在我的环境中工作的连接器。
import adodbapi
conn = adodbapi.connect("PROVIDER=SQLOLEDB;Data Source={0};Database={1}; \
UID={2};PWD={3};".format(server,db,user,pwd))
cursor = conn.cursor()
query_list = [row for row in cursor]
type(query_list[0]) = adodbapi.apibase.SQLrow
如何将此列表转换为 pandas df?
谢谢
最佳答案
我就是这样做的:
import adodbapi as ado
import numpy as np
import pandas as pd
def get_df(data):
ar = np.array(data.ado_results) # turn ado results into a numpy array
df = pd.DataFrame(ar).transpose() # create a dataframe from the array
df.columns = data.columnNames.keys() # set column names
return df
with ado.connect('yourconnectionstring') as con:
with con.cursor() as cur:
sql_str = 'yourquery'
cur.execute(sql_str)
data = cur.fetchall()
df = get_df(data)
关于python - 将 list[adodbapi.apibase.SQLrow] 转换为 pd.DataFrame,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/56075159/