Our patented system measures and regulates
temperature of each well 100 times pr. second.
Advanced Plotting the Easy Way
The concept one need to grasp is know as a “dataframe” which basically is a spreadsheet. The module “Pandas” allows to bring a CSV file of data into memory in a format similiar to a spreadsheet.
Once we have the data imported which takes a few lines of code we have a huge range of possibilities to slice our data with looking at a section of end rows (e.g. steady state melting or annealing temps), start rows (for ramp speeds), statistics, baseline subtraction etc.
Below we have added some plots that was generated from the import of temperature data. The first is a distribution samples at the different temperatures. We can see we have a lot of samples at the steady state temperature which is not surprising. Analysis like this can be utilized to reveal methodological errors of our instrumentation.
The next plot is a KDE violin plot showing the normalized two sided noise over the range of sampled temperatures. Maybe not so useful here but plots like this can be utilized to see if our data is skewing towards one side for some reason – again a way to drill methodological errors.