Instead of copying values from another person's solution, look up the constants yourself online.

The Bohr model simulates observed wavelengths, $,$ in an emission spectral series in terms of energies due to transitions from initial states, $n_i,$ to a final state, $n_f,$ where states are integers that index stable electron orbits about the atom's nucleus. Variables for these states already exist in the program as a vector, $ni,$ and a scalar, $nf,$ respectively. Using the Rydberg constant, $R,$ the model is as follows:

$=\frac{1}{R(\frac{1}{n_f^2}-\frac{1}{n_i^2})}.$

Compare hSpectPlot$\_$v$1$ to the plot produced by running your program. Under SIMULATION DATA, use Matplotlib to annotate the existing plot with the required axis labels and title. Before you add a legend, compute the Bohr model data points and plot them with the indicated colour and marker style. Convert from model units, $m,$ to plot units, nm$.$ Do not use loops or Python expressions that fall outside the Programming Basics scope. Use NumPy, a productive way to meet these requirements.

Under EXPERIMENT DATA and SIMULATION DATA, use comments to summarize what the section does, or is supposed to do$,$ in your own words. Complete the program's comment header, especially required percentages. Submit your Version $1$ solution, hspect rum, by the Version $1$ deadline.