NOTE This package is now part of the main endaq repo, and can be found at https://github.com/MideTechnology/endaq-python/tree/development/endaq/plot This repo is Archived

endaq-plot - Painless Plotting Of Sensor Data

endaq-plot is a package comprising a collection of plotting utilities for sensor data analysis. It leverages Plotly in order to produce interactive plots, and makes creating powerful visualizations simple and easy for those new to Python.

endaq-plot is a sub-package of the larger enDAQ ecosystem. See the endaq package for more details.

Installation

endaq-plot is available on PYPI via pip:

pip install endaq-plot

For the most recent features that are still under development, you can also use pip to install endaq-plot directly from GitHub:

pip install git+https://github.com/MideTechnology/endaq-python-plot.git@development

Usage Examples

For these examples we assume there is a Pandas DataFrame named df which has it's index as time stamps and it's one column being sensor values (e.g. x-axis accleration, or pressure). It also assumes there is a Pandas DataFrame attribute_df which contains all the attribute data about various data files. More information can be found about how to get this data from enDAQ IDE files in the endaq-cloud package.

from endaq.plot import octave_spectrogram, multi_file_plot_attributes, octave_psd_bar_plot
from endaq.plot.utilities import set_theme

Setting The Aesthetic Theme

set_theme(theme='endaq')

Creating Spectrograms With Octave Spaced Frequencies

data_df, fig = octave_spectrogram(df, window=.15)
fig.show()

Creating PSD Bar Plots With Octave Spaced Frequencies

fig = octave_psd_bar_plot(df, yaxis_title="Magnitude")
fig.show()

Plot Attributes In Figure With Subplots

fig = multi_file_plot_attributes(attribute_df)
fig.show()

Other Links

• the endaq package - https://github.com/MideTechnology/endaq-python
• the enDAQ homepage - https://endaq.com/