snapshot...

modules/icing/pirep_goes.py

@@ -19,7 +19,8 @@ goes_ds_dct = {}
 ice_dict = None
 no_ice_dict = None
 time_keys = None
-pirep_file = '/home/rink/data/pireps/pireps_2019010000_2019063023.csv'
+#pirep_file = '/home/rink/data/pireps/pireps_2019010000_2019063023.csv'
+pirep_file = '/home/rink/data/pireps/pireps_20160101_20190630.csv'
 
 ds_list = ['temp_8_5um_nom', 'temp_10_4um_nom', 'temp_11_0um_nom', 'temp_13_3um_nom', 'cld_height_acha',
            'supercooled_cloud_fraction', 'cld_temp_acha', 'cld_opd_acha', 'cloud_phase', 'solar_zenith_angle',
@@ -147,25 +148,6 @@ def run(pirep_dct, outfile=None):
 
 
 def analyze(ice_dct, no_ice_dct):
-    ice_times = np.array(list(ice_dct.keys()))
-    no_ice_times = np.array(list(no_ice_dct.keys()))
-
-    dt_str = '201601010000'
-    dto = datetime.datetime.strptime(dt_str, '%Y%m%d%H%M').replace(tzinfo=timezone.utc)
-    t0 = dto.timestamp()
-
-    dt_str = '201906300000'
-    dto = datetime.datetime.strptime(dt_str, '%Y%m%d%H%M').replace(tzinfo=timezone.utc)
-    t1 = dto.timestamp()
-
-    tline = np.arange(t0, t1, 600)
-    hist_a, edges = np.histogram(no_ice_times, bins=tline)
-    print(len(np.nonzero(hist_a)[0]))
-
-    hist_b, edges = np.histogram(ice_times, bins=tline)
-    print(len(np.nonzero(hist_b)[0]))
-
-    print(np.sum(np.logical_and(hist_a > 0, hist_b > 0)))
 
     last_file = None
     ice_files = []