{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Quickstart" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook will help you get started with pyTGA quickly. \n", "It covers reading data (using Perkin Elmer files as an example), accessing different stages of an experiment, calculating a derivative and simple calculations." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
| \n", " | Time | \n", "Unsubtracted weight | \n", "Baseline weight | \n", "Program Temp. | \n", "Sample Temp. | \n", "Sample Purge Flow | \n", "Balance purge flow | \n", "rel_weight_twl | \n", "rel_weight_pwl | \n", "DTGA_pwl | \n", "DTGA_twl | \n", "
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | \n", "157.115641 | \n", "2.140062 | \n", "0.0 | \n", "50.0 | \n", "50.0 | \n", "44.9 | \n", "70.0 | \n", "0.997924 | \n", "0.015035 | \n", "NaN | \n", "NaN | \n", "
| 2 | \n", "157.132308 | \n", "2.140266 | \n", "0.0 | \n", "50.0 | \n", "50.0 | \n", "44.8 | \n", "70.0 | \n", "0.998019 | \n", "0.015077 | \n", "NaN | \n", "NaN | \n", "
| 3 | \n", "157.148974 | \n", "2.140436 | \n", "0.0 | \n", "50.0 | \n", "50.0 | \n", "44.9 | \n", "70.0 | \n", "0.998098 | \n", "0.015112 | \n", "NaN | \n", "NaN | \n", "
| 4 | \n", "157.165641 | \n", "2.140606 | \n", "0.0 | \n", "50.0 | \n", "50.0 | \n", "44.9 | \n", "70.0 | \n", "0.998177 | \n", "0.015147 | \n", "NaN | \n", "NaN | \n", "
| 5 | \n", "157.182308 | \n", "2.140810 | \n", "0.0 | \n", "50.0 | \n", "50.0 | \n", "44.9 | \n", "70.0 | \n", "0.998272 | \n", "0.015189 | \n", "NaN | \n", "NaN | \n", "