A user may have new experimental data on a mass or other property. Create functionality to allow that data to be include into the combined table.
Requiring json format will be simplest as python and pandas have existing functionality to read that format.
I see two option:
- Create a new column e.g.
MyMass, or which ever property is required, and populate with the new value
- Add a new column to the current table, something like
Published and set it to 0, then enforce the same column headings that already exist with the new data, but allow multiple columns worth of data, and the user to select the value to go in the new Published columns.
Both of these will need testing, but I think the latter is the way to go as it allows the simpler addition of significant amounts of new data and, if needed, multiple separate data sets could be added and indexed on the new Published column.
A user may have new experimental data on a mass or other property. Create functionality to allow that data to be include into the combined table.
Requiring json format will be simplest as python and pandas have existing functionality to read that format.
I see two option:
MyMass, or which ever property is required, and populate with the new valuePublishedand set it to0, then enforce the same column headings that already exist with the new data, but allow multiple columns worth of data, and the user to select the value to go in the newPublishedcolumns.Both of these will need testing, but I think the latter is the way to go as it allows the simpler addition of significant amounts of new data and, if needed, multiple separate data sets could be added and indexed on the new
Publishedcolumn.