pushdata.io的python客户端库
pushdata-io的Python项目详细描述
pushdata python客户端库
此库允许您使用联机服务pushdata.io轻松存储和检索时间序列数据。
安装
pip install pushdata-io
开始
您可以立即开始在pushdata.io上存储数据，甚至不必在那里注册帐户。只需安装此软件包并编写三行代码，如下所示：
importpushdatapd=pushdata.Client(email="youremail@yourdomain.com",tsname="MyTimeseries")pd.send(12345)# Stores the data point 12345, timestamped with the current date and time
运行代码并存储至少一个数据点后，转到https://pushdata.io/youremail@yourdomain.com可以在其中查看时间序列。
用法
importpushdata# 1. Initialize with no authentication# Initialize with our account email and time series name we want to usepd=pushdata.Client(email="myemail@example.com",tsname="mytimeseries")# 2. ...or initialize with authentication (for account with security=on)pd=pushdata.Client(apikey="thd8JT73LsB8jah0F4d9",tsname="mytimeseries")# Send a data point to the time seriespd.send(4711)# Send to another time series by overriding tsnamepd.send(4711,tsname="myothertimeseries")# Retrieve all data from the time seriesresponse=pd.recv()# Or from another time seriesresponse=pd.recv(tsname="anothertimeseries")# Retrieve data timestamped during the last weekimportdatetimeone_week_ago=datetime.datetime.now()-datetime.timedelta(days=7)response=pd.recv(fromtime=one_week_ago)# Retrieve data for one 24-hour period, one week agoimportdatetimeone_week_ago=datetime.datetime.now()-datetime.timedelta(days=7)one_week_ago_plus_24h=one_week_ago+datetime.timedelta(days=1)response=pd.recv(fromtime=one_week_ago,totime=one_week_ago_plus_24h)## Print time series data## We get a Python Requests response object from recv(), which # includes response code, raw HTTP response body, and more.# We use the .json() method to parse the body text as JSON# and get a dictionary:tsdata=response.json()## And then we print stuff:print("Timeseries name: "+tsdata["name"])print("First point recorded at : "+tsdata["first"])# timestamp of first point in time seriesprint("Last point recorded at : "+tsdata["last"])# timestamp of last point in time seriesprint("Total number of points : "+tsdata["total"])# total number of points in timeseriesprint("Number of points returned : "+tsdata["returned"])# number of points returned in this callprint("---- Points ----")forpointintsdata["points"]:print("Time=%s value=%f"%(point["time"],point["value"]))## tsdata (the decoded JSON response from pushdata.io) is # a dictionary that looks like this:# {# "name": "mytimeseries",# "first": "2019-02-15T07:43:31.546805Z",# "last": "2019-03-05T11:21:06.20951Z",# "total": 482,# "returned: 482,# "offset": 0,# "limit": 10000,# "points": [# {# "time": "2019-02-15T07:43:31.546805Z",# "value": 4711.0# },# ...# ]# }## See https://speca.io/ragnarlonn/pushdata-io#TimeSeriesData#
欢迎加入QQ群-->： 979659372
