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Python API Wrapper for Measurement Data

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Python API Wrapper for Measurement Data


MeaPy wants to be a easy-to-use and conformable API for working with measurement data in den Big Test Data environment.

Getting Started

pip install meapy


from meapy import MeaPy, MeasurementList, LoadingConfig

# "Basic " is the content if the HTTP Authorization-Header. In this example it is the Basic Authentication Header for user:password
mp = MeaPy("", "Basic dXNlcjpwYXNzd29yZA==")

# direct search (by default limited to 100 results)
result ="test")
# result is a list of meapy.Measurement

# search and iteration over the whole result set
ml = MeasurementList(mp)
count = 0
for mea in ml.items('Station.Id="d4f1ad55-72d5-403c-81b8-73b2942b58f4"'):

# load a measurement
config = LoadingConfig()
signals = mp.load(result[0], config)
# signals is a list of meapy.SignalData that contains the information for the requested channels

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meapy-0.0.6.tar.gz (4.3 kB view hashes)

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meapy-0.0.6-py3-none-any.whl (5.2 kB view hashes)

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