SUEWS that speaks Python
SuPy requires 64-bit python 3.7+ and can be installed with pip in command line prompt:
python3 -m pip install supy --upgrade
Once installed, supy can be quickly started to get SUEWS simulations done:
import supy as sp
import matplotlib.pyplot as plt
#load sample data
df_state_init, df_forcing = sp.load_SampleData()
grid = df_state_init.index[0]
#run supy/SUEWS simulation
df_output, df_state_end = sp.run_supy(df_forcing, df_state_init)
#plot results and save figure
res_plot = df_output.SUEWS.loc[grid, ['QN', 'QF', 'QS', 'QE', 'QH']]
ax=res_plot.loc['2012 6 4':'2012 6 6'].resample('30T').mean().plot()
plt.show()
ax.figure.savefig('sample_plot.png')
The above code will produce a plot of surface energy balance components as follows:
Please check out more SuPy tutorials here!
FAQs
the SUEWS model that speaks python
We found that supy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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