Starting physicists are often limited by their data processing abilities. This library makes it so easy a toddler could do it.
Install from PyPI using PIP:
pip install toddler
Anaconda users should follow this documentation and run conda activate and conda install pip before running the above pip command.
This module is split up into physics (e.g. conversion of units) and data processing (e.g. filtering images)
toddler.data.spectrum.Spectrum has the most utility of this library. It makes iterative processing on numpy arrays and its coordinates much simpler. The code below loads data of an optical spectrometer, applies some heavy processing, and plots the result. The equivalent code with out-of-the-box numpy would be much more convoluted.
from toddler.data.spectrum import Spectrum
import matplotlib.pyplot as plt
s = Spectrum.from_file("some_file.csv")
s = s.median(axis=2)
.mean(axis=1)
.slice(lambda_start=534e-9, lambda_end=600e-9)
.filter("movmean", N=5)
.squeeze()
plt.figure()
plt.plot(s.lambdanm, s.data)
plt.show()toddler.physics.const constains all scipy constants.
toddler.physics.energy contains utility functions related to energy (e.g. conversion from eV to J)
toddler.physics.flow contains utility functions related to flow (e.g. conversion from slm to mass flux)
toddler.physics.kinetics is an empty work-in-progress.
toddler.physics.light contains utility functions related to the intensity and unit of light (e.g. conversion from wavenumbers to wavelength)
toddler.physics.thermodynamics contains utilities for thermodynamic properties (e.g. pressure to gas density)
toddler.physics.transport is a work-in-progress.
For other tools for researchers and scientists, see