Using
dd = {'ID': ['H576','H577','H578','H600', 'H700'],
'CD': ['AAAAAAA', 'BBBBB', 'CCCCCC','DDDDDD', 'EEEEEEE']}
df = pd.DataFrame(dd)
Pre Pandas 0.25, this below worked.
set: redisConn.set("key", df.to_msgpack(compress='zlib'))
get: pd.read_msgpack(redisConn.get("key"))
Now, there are deprecated warnings..
FutureWarning: to_msgpack is deprecated and will be removed in a future version.
It is recommended to use pyarrow for on-the-wire transmission of pandas objects.
The read_msgpack is deprecated and will be removed in a future version.
It is recommended to use pyarrow for on-the-wire transmission of pandas objects.
How does pyarrow work? And, how do I get pyarrow objects into and back from Redis.
Here's a full example to use pyarrow for serialization of a pandas dataframe to store in redis
apt-get install python3 python3-pip redis-server
pip3 install pandas pyarrow redis
and then in python
import pandas as pd
import pyarrow as pa
import redis
df=pd.DataFrame({'A':[1,2,3]})
r = redis.Redis(host='localhost', port=6379, db=0)
context = pa.default_serialization_context()
r.set("key", context.serialize(df).to_buffer().to_pybytes())
context.deserialize(r.get("key"))
A
0 1
1 2
2 3
I just submitted PR 28494 to pandas to include this pyarrow example in the docs.
Reference docs:
来源：https://stackoverflow.com/questions/57949871/how-to-set-get-pandas-dataframes-into-redis-using-pyarrow