title: Matching two data sets of different sizes
body: <p>I have two datasets with different sample rates and a different amount of samples, but both start at the same time and end at nearly the same time.
  The first column of each dataset is time, how can I plot the second column of each against each other using the time column to match them but not have time on either axes?
  Essentially I am trying to plot two vectors of different lengths against each other.</p>
  
  <p>For example, have these two datasets, in the file named "temperature", the first column is time [s] and the second is temperature[°C].
  The second file name "delay" has time [s] as the first column and a motor address as the second. 
  I want to have temperature as my x-axis and the corresponding motor position as my y-axis. </p>
  
  <p><a href="https://drive.google.com/drive/folders/1pCM1SRN3puJ7aL1OtHQMdnKStllwFG9M?usp=sharing" rel="nofollow noreferrer">Sample Data</a></p>
  
  <p>I can't do a one to one match of the data because the time interval is different between the two, but as the sample rate is higher than I need it to be, it is okay if there is some local averaging on the data with more data points in order to have it be the same length.
  I am using numpy arrays.</p>