Bnb/meta enum

examples/aws_pcluster/make_project_points.py

@@ -3,7 +3,6 @@
 """
 from rex import Resource
 
-
 if __name__ == '__main__':
     fp = '/nrel/nsrdb/v3/nsrdb_2019.h5'
     fp = '/nrel/wtk/conus/wtk_conus_2007.h5'
@@ -22,7 +21,7 @@
 
     print(meta[mask])
     pp = meta[mask]
-    pp['gid'] = pp.index.values
+    pp["gid"] = pp.index.values
     pp['config'] = 'def'
-    pp = pp[['gid', 'config']]
+    pp = pp[["gid", 'config']]
     pp.to_csv('./points_front_range.csv', index=False)

examples/bespoke_wind_plants/single_run.py

@@ -2,19 +2,23 @@
 """
 An example single run to get bespoke wind plant layout
 """
-import numpy as np
-import matplotlib.pyplot as plt
-from reV.bespoke.bespoke import BespokeSinglePlant
-from reV.bespoke.plotting_functions import plot_poly, plot_turbines,\
-    plot_windrose
-from reV import TESTDATADIR
-from reV.supply_curve.tech_mapping import TechMapping
-
 import json
 import os
 import shutil
 import tempfile
 
+import matplotlib.pyplot as plt
+import numpy as np
+
+from reV import TESTDATADIR
+from reV.bespoke.bespoke import BespokeSinglePlant
+from reV.bespoke.plotting_functions import (
+    plot_poly,
+    plot_turbines,
+    plot_windrose,
+)
+from reV.supply_curve.tech_mapping import TechMapping
+
 SAM = os.path.join(TESTDATADIR, 'SAM/i_windpower.json')
 EXCL = os.path.join(TESTDATADIR, 'ri_exclusions/ri_exclusions.h5')
 RES = os.path.join(TESTDATADIR, 'wtk/ri_100_wtk_{}.h5')
@@ -29,7 +33,7 @@
              'ri_reeds_regions': {'inclusion_range': (None, 400),
                                   'exclude_nodata': False}}
 
-with open(SAM, 'r') as f:
+with open(SAM) as f:
     SAM_SYS_INPUTS = json.load(f)
 
 SAM_SYS_INPUTS['wind_farm_wake_model'] = 2
@@ -56,7 +60,8 @@
         1E5 * 0.1 + (1 - 0.1))"""
     objective_function = "cost / aep"
 
-    output_request = ('system_capacity', 'cf_mean', 'cf_profile')
+    output_request = ('system_capacity', 'cf_mean',
+                      'cf_profile')
     gid = 33
     with tempfile.TemporaryDirectory() as td:
         excl_fp = os.path.join(td, 'ri_exclusions.h5')

examples/marine_energy/plot_lcoe.py

@@ -2,16 +2,17 @@
 Simple plot script for wave LCOE
 """
 import os
-import pandas as pd
+
 import matplotlib.pyplot as plt
+import pandas as pd
 
 fps = ['./atlantic_rm5/atlantic_rm5_agg.csv',
        './pacific_rm5/pacific_rm5_agg.csv',
        ]
 
 for fp in fps:
     df = pd.read_csv(fp)
-    a = plt.scatter(df.longitude, df.latitude, c=df['mean_lcoe'],
+    a = plt.scatter(df.longitude, df.latitude, c=df["mean_lcoe"],
                     s=0.5, vmin=0, vmax=1500)
     plt.colorbar(a, label='lcoe_fcr ($/MWh)')
     tag = os.path.basename(fp).replace('_agg.csv', '')