Fleshed out flagged option for doing the first correction to each variable that you select automatically using the default correction parameters. This saves time when the dataset is in pretty decent condition, but may cause a bit of extra work if the data is poor quality.
Filling missing data used to happen automatically, but now it is a flag in the config file.
Changed solar radiation code and relative humidity code to correct based on a user specified number of points, instead of a single value generated by the numpy nanpercentile function. This has the fringe benefit of fixing a few Rs edge cases the previous version didn't tackle effectively.
RuntimeWarnings over nan's being present in the dataset still need to be removed.
Fleshed out flagged option for doing the first correction to each variable that you select automatically using the default correction parameters. This saves time when the dataset is in pretty decent condition, but may cause a bit of extra work if the data is poor quality.
Filling missing data used to happen automatically, but now it is a flag in the config file.
Changed solar radiation code and relative humidity code to correct based on a user specified number of points, instead of a single value generated by the numpy nanpercentile function. This has the fringe benefit of fixing a few Rs edge cases the previous version didn't tackle effectively.
RuntimeWarnings over nan's being present in the dataset still need to be removed.