{"repo":"BTrDB/btrdb-python","free":true,"listed":false,"github":"https://github.com/BTrDB/btrdb-python","clone":"git clone https://github.com/BTrDB/btrdb-python.git","description":"BTrDB bindings for Python","language":"Python","stars":12,"topics":["python","btrdb","timeseries-database","database","database-connector"],"license":null,"category":"databases-storage","readme_excerpt":"BTrDB Bindings for Python These are BTrDB Bindings for Python allowing you painless and productive access to the Berkeley Tree Database (BTrDB). BTrDB is a time series database focusing on blazing speed with respect to univariate time series data at the nanosecond scale. Sample Code Our goal is to make BTrDB as easy to use as possible, focusing on integration with other tools and the productivity of our users. In keeping with this we continue to add new features such as easy transformation to numpy arrays, pandas Series, etc. See the sample code below and then checkout our documentation for more in depth instructions. import btrdb # connect to database conn = btrdb.connect(\"192.168.1.101:4410\") # view time series streams found at provided collection path streams = conn.streams in collection(\"USEAST NOC1/90807\") for stream in streams: print(stream.name) # retrieve a given stream by UUID and print out data points. In value # queries you will receive RawPoint instances which contain a time and value # attribute stream = conn.stream from uuid(\"71466a91-dcfe-42ea-9e88-87c51f847942\") for point, in stream.values(start, end): print(point) RawPoint(1500000000000000000, 1.0) RawPoint(1500000000100000000, 2.0) RawPoint(1500000000200000000, 3.0) ... # view windowed data. Each StatPoint contains the time of the window and # common statistical data such as min, mean, max, count, and standard # deviation of values the window covers. See docs for more details. width = 300000000 depth = 20 fo","default_branch":null,"files":null,"tree":[],"storefront":"/r/BTrDB","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/BTrDB/btrdb-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}