hoboreader
Python package for reading Onset Hobo sensor csv files
Any problems? Please raise an Issue on GitHub
To install:
pip install hoboreader
Quick demo:
The following code reads a Hobo csv file and converts it to a pandas DataFrame:
from hoboreader import HoboReader
h=HoboReader('sample_hobo_data.csv')
df=h.get_dataframe()
The DataFrame looks like this:
User Guide
Importing the HoboReader class:
from hoboreader import HoboReader
Creating an instance of HoboReader and reading in a Hobo data csv file:
Either:
h=HoboReader()
h.read_csv('sample_hobo_data.csv')
or:
h=HoboReader('sample_hobo_data.csv')
Working with attributes
As the csv file is read in, a number of attributes are populated. These are:
h.reader # a Python csv.reader object
h.header_row # a list of the header row of the csv file
h.header_list # a list of dictionaries with the header row information
h.hobo_timezone_str # a string of the timezone as expressed in the header row
h.timezone # a Python datetime.timezone instance
h.data_rows # a list of each row of the timeseries measured data
h.data_columns # a list of each column of the timeseries measured data
h.datetimes # a list of the timestamps converted to Python datetime.datetime instances
See the attributes_demo.ipynb Jupyter Notebook in the 'demo' section for more on these attributes.
Creating a Pandas DataFrame
A Pandas DataFrame can be created using:
df=h.get_dataframe()
See the dataframe_demo.ipynb Jupyter Notebook in the 'demo' section for how to work with this dataframe.
Creating rdf data
The Hobo data can be converted to rdf data using:
g=h.get_rdf()
See the rdf_demo.ipynb Jupyter Notebook in the 'demo' section for how to work with the rdf data.
Getting the sensor serial number
A function which return the sensor serial number:
sn=h.get_sensor_serial_number()