Usage

Some examples of using the module

• Plotting
• User Data

Quick Example

Get up and running by parsing all files into a single dataframe with:

from nuclearmasses.mass_table import MassTable

table = MassTable().data

Once parsed, you have access to the pandas dataframe ecosystem to slice, sort or otherwise interrogate the data as required.

For example, how has the mass excess of 14C changed over time according to NUBASE?

C_14 = table[(table['A'] == 14) & (table['Symbol'] == 'C')][['TableYear', 'NUBASEMassExcess', 'NUBASEMassExcessError']]
print(C_14)

Any and all missing values are represented by pandas NA type for consistency.

     TableYear  NUBASEMassExcess  NUBASEMassExcessError
387       1983              <NA>                   <NA>
388       1993              <NA>                   <NA>
389       1995          3019.892                  0.004
390       2003          3019.893                  0.004
391       2012          3019.893                  0.004
392       2016          3019.893                  0.004
393       2020          3019.893                  0.004

As discussed in other sections, there was no published NUBASE table before 1997 so no data is provided for those years.