labtex 0.1.1

Lab report data analysis and LaTeX file generation

labtex

Purpose

I wrote this package with the intention of providing a single solution to the repetitive tasks in a lab environment. Whether you are doing error propagation, linear regression or LaTeX tables by hand, this package aims to expedite the process.

Features

• Measurement and MeasurementList classes with automatic:
  • Error propagation
  • Unit parsing and propagation
• Linear regression
• Automatic table generation in three styles
• Automatic plot generation with matplotlib
• Template LaTeX file output with the generated figures and tables included

Installation

pip3 install labtex

Usage

For ease of use, you can import the package globally with

from labtex import *

Alternatively do import labtex as lt.

Single measurements can be instantiated with Measurement(value,uncertainty,unit).

x = Measurement(1.1,0.3,"m")
y = Measurement(2.22,0.4,"m")
z = Measurement(314,10,"V")

Measurement instances support all operations and math functions with the error and units automatically propagated.

print(x)
# 1.1 ± 0.3 m

print(x + y)
# 3.3 ± 0.5 m

print(x * z)
# 340 ± 90 V m

print(x ** 2)
# 1.2 ± 0.7 m^2

print(Measurement.tan(x))
# 2 ± 1 

For a list of measurements, the MeasurementList class functions identically to the Measurement class, only now taking a list of values.

heights = MeasurementList([185,183,182,194,184,177],0,"cm")

print(heights)
# [185, 183, 182, 194, 184, 177] ± 5 cm

print(200 - heights)
# [15, 17, 18, 6, 16, 23] ± 5 cm

With two MeasurementLists, they can be linearly regressed with the LinearRegression class.

voltages = MeasurementList([1.3,3,5,7,8.5,10],0,"V")
temperatures = MeasurementList([23,55,67,82,88,96],0,"C")

Contributions

Feel free to submit a pull request.