py-redis

Is Redis TimeSeries the right tool to capture candle sticks in stock prices

由 断了今生、忘了曾经 提交于 2020-12-13 03:42:44
问题 I am currently trying to do a simple implementation for stock price candle sticks. Let's say we have a stock called XYZ. This stock receives a stream of prices (in no particular frequency), which (for example) looks like: XYZ: [10.2, 10.7, 12, 11 ....]. The objective is to record some metrics for every minute that passes to reflect the state of that stock. A candle stick has metrics like Closing price (last known price within a minute), High Price (maximum price within a minute)...etc. One

Is Redis TimeSeries the right tool to capture candle sticks in stock prices

由 主宰稳场 提交于 2020-12-13 03:37:49
问题 I am currently trying to do a simple implementation for stock price candle sticks. Let's say we have a stock called XYZ. This stock receives a stream of prices (in no particular frequency), which (for example) looks like: XYZ: [10.2, 10.7, 12, 11 ....]. The objective is to record some metrics for every minute that passes to reflect the state of that stock. A candle stick has metrics like Closing price (last known price within a minute), High Price (maximum price within a minute)...etc. One

How to set/get Pandas dataframes into Redis using pyarrow

由 余生颓废 提交于 2020-01-01 09:55:36
问题 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

How to set/get Pandas dataframes into Redis using pyarrow

由 心已入冬 提交于 2019-12-04 09:55:21
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
订阅 py-redis