问题描述
我正在使用PyTd teradata
模块从Teradata查询数据,并希望将其读入Pandas DataFrame
I'm using the PyTd teradata
module to query data from Teradata and want to read it into a Pandas DataFrame
import teradata
import pandas as pd
# teradata connection
udaExec = teradata.UdaExec(appName="Example", version="1.0",
logConsole=False)
session = udaExec.connect(method="odbc", system="", username="", password="")
# Create empty dataframe with column names
query = session.execute("SELECT TOP 1 * FROM table")
cols = [str(d[0]) for d in query.description]
df = pd.DataFrame(columns=cols)
# Read data into dataframe
for row in session.execute("SELECT * FROM table"):
print type(row)
df.append(row)
row
属于teradata.util.Row
class
,不能附加到数据框.我尝试将其转换为列表,但格式混乱.
row
is of teradata.util.Row
class
and can't be appended to the dataframe. I tried converting it to a list but the format gets messed up.
如何使用teradata
模块将数据从Teradata读取到数据帧中?我无法为此使用pyodbc
模块.
How can I read my data into a dataframe from Teradata using the teradata
module? I'm not able to use the pyodbc
module for this.
是否有更好的方法来创建与数据库中的列名称匹配的空数据框?
Is there a better way to create the empty dataframe with column names matching those in the database?
推荐答案
您可以使用pandas.read_sql:)
You can use pandas.read_sql :)
import teradata
import pandas as pd
# teradata connection
udaExec = teradata.UdaExec(appName="Example", version="1.0",
logConsole=False)
with udaExec.connect(method="odbc", system="", username="", password="") as session:
query ="SELECT * FROM table"
df = pd.read_sql(query,session)
使用"with"将确保查询后会话结束.希望对您有所帮助:)
Using ‘with’ will ensure close of session after the query. I hope that helped :)
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