def supply_curve(cls,
sc_table,
out_dir,
columns=None,
lcoe='mean_lcoe',
plot_type='plotly',
cmap='viridis',
sc_plot_kwargs=None,
scatter_plot_kwargs=None):
"""
Plot supply curve
Parameters
----------
sc_table : str
Path to .csv file containing supply curve table
out_dir : str
Directory path to save summary tables and plots too
columns : str | list, optional
Column(s) to summarize, if None summarize all numeric columns,
by default None
lcoe : str, optional
LCOE value to plot, by default 'mean_lcoe'
plot_type : str, optional
plot_type of plot to create 'plot' or 'plotly', by default 'plotly'
cmap : str, optional
Colormap name, by default 'viridis'
sc_plot_kwargs : dict, optional
Kwargs for supply curve plot, by default None
scatter_plot_kwargs : dict
Kwargs for scatter plot, by default None
"""
if sc_plot_kwargs is None:
sc_plot_kwargs = {}
if scatter_plot_kwargs is None:
scatter_plot_kwargs = {}
try:
qa_qc = cls(out_dir)
SummarizeSupplyCurve.run(sc_table, out_dir, columns=columns)
SupplyCurvePlot.plot(sc_table,
out_dir,
plot_type=plot_type,
lcoe=lcoe,
**sc_plot_kwargs)
qa_qc._scatter_plot(sc_table,
out_dir,
plot_type=plot_type,
cmap=cmap,
**scatter_plot_kwargs)
except Exception as e:
logger.exception(
'QAQC failed on file: {}. Received exception:\n{}'.format(
os.path.basename(sc_table), e))
raise e
else:
logger.info(
'Finished QAQC on file: {} output directory: {}'.format(
os.path.basename(sc_table), out_dir))
def test_sc_summarize():
"""Run QA/QC Summarize and compare with baseline"""
test = SummarizeSupplyCurve(SC_TABLE).supply_curve_summary()
baseline = os.path.join(SUMMARY_DIR, 'sc_full_out_1_summary.csv')
if os.path.exists(baseline):
baseline = pd.read_csv(baseline, index_col=0)
else:
test.to_csv(baseline)
assert_frame_equal(test, baseline, check_dtype=False)
def supply_curve_table(ctx, sc_table, columns):
"""
Summarize Supply Curve Table
"""
ctx.obj['SC_TABLE'] = sc_table
SummarizeSupplyCurve.run(sc_table, ctx.obj['OUT_DIR'], columns=columns)