体验新版 GitCode,发现更多精彩内容 >>
import pandas
from sqlalchemy import create_engine, text
engine = create_engine("taosrest://root:taosdata@localhost:6041")
conn = engine.connect() df: pandas.DataFrame = pandas.read_sql(text("SELECT * FROM power.meters"), conn) conn.close()
# print index print(df.index) # print data type of element in ts column print(type(df.ts[0])) print(df.head(3)) # output: # RangeIndex(start=0, stop=8, step=1)
# <class 'pandas._libs.tslibs.timestamps.Timestamp'> # ts current ... location groupid # 0 2018-10-03 06:38:05.500000+00:00 11.8 ... california.losangeles 2 # 1 2018-10-03 06:38:16.600000+00:00 13.4 ... california.losangeles 2 # 2 2018-10-03 06:38:05+00:00 10.8 ... california.losangeles 3