get rid of obsolete parameters (#63)

Co-authored-by: Christian Schluchter <[email protected]>

Author: schluchc

examples/00_timeseries.py

@@ -8,16 +8,15 @@ def time_series_example(username: str, password: str, _logger):
     enddate_ts = startdate_ts + dt.timedelta(days=1)
     interval_ts = dt.timedelta(hours=1)
     coordinates_ts = [(47.249297, 9.342854), (50., 10.)]
-    parameters_ts = ['t_2m:C', 'rr_1h:mm']
+    parameters_ts = ['t_2m:C', 'precip_1h:mm']
     model = 'mix'
     ens_select = None  # e.g. 'median'
     cluster_select = None  # e.g. "cluster:1", see http://api.meteomatics.com/API-Request.html#cluster-selection
-    interp_select = 'gradient_interpolation'
 
     _logger.info("\ntime series:")
     try:
         df_ts = api.query_time_series(coordinates_ts, startdate_ts, enddate_ts, interval_ts, parameters_ts,
-                                      username, password, model, ens_select, interp_select,
+                                      username, password, model, ens_select,
                                       cluster_select=cluster_select)
         _logger.info("Dataframe head \n" + df_ts.head().to_string())
     except Exception as e:

examples/01_grid.py

@@ -8,8 +8,8 @@ def grid_example(username: str, password: str, _logger):
     lon_W = -15
     lat_S = 20
     lon_E = 10
-    res_lat = 3
-    res_lon = 3
+    res_lat = 1
+    res_lon = 1
     startdate_grid = dt.datetime.utcnow().replace(hour=0, minute=0, second=0, microsecond=0)
     parameter_grid = 'evapotranspiration_1h:mm'  # 't_2m:C'
 

examples/02_unpivoted_grid.py

@@ -8,9 +8,9 @@ def unpivoted_grid_example(username: str, password: str, _logger):
     lon_W = -15
     lat_S = 20
     lon_E = 10
-    res_lat = 3
-    res_lon = 3
-    parameters_grid_unpiv = ['t_2m:C', 'rr_1h:mm']
+    res_lat = 1
+    res_lon = 1
+    parameters_grid_unpiv = ['t_2m:C', 'precip_1h:mm']
     valid_dates_unpiv = [dt.datetime.utcnow(), dt.datetime.utcnow() + dt.timedelta(days=1)]
 
     _logger.info("\nunpivoted grid:")

examples/03_grid_timeseries.py

@@ -13,7 +13,7 @@ def grid_time_series_example(username: str, password: str, _logger):
     startdate_ts = dt.datetime.utcnow().replace(hour=0, minute=0, second=0, microsecond=0)
     enddate_ts = startdate_ts + dt.timedelta(days=1)
     interval_ts = dt.timedelta(hours=1)
-    parameters_ts = ['t_2m:C', 'rr_1h:mm']
+    parameters_ts = ['t_2m:C', 'precip_1h:mm']
 
     _logger.info("\ngrid timeseries:")
     try:

examples/04_grid_png.py

@@ -8,8 +8,8 @@ def grid_png_example(username: str, password: str, _logger):
     lon_W = -15
     lat_S = 20
     lon_E = 10
-    res_lat = 3
-    res_lon = 3
+    res_lat = 0.1
+    res_lon = 0.1
     filename_png = "grid_target.png"
     startdate_png = dt.datetime.utcnow().replace(hour=0, minute=0, second=0, microsecond=0)
     parameter_png = 't_2m:C'

examples/05_lighning_strokes.py

@@ -3,7 +3,7 @@
 import meteomatics.api as api
 
 
-def grid_png_example(username: str, password: str, _logger):
+def lightning_strokes_example(username: str, password: str, _logger):
     startdate_l = dt.datetime.utcnow() - dt.timedelta(days=1)
     enddate_l = dt.datetime.utcnow() - dt.timedelta(minutes=5)
     lat_N_l = 90
@@ -23,4 +23,4 @@ def grid_png_example(username: str, password: str, _logger):
 
 
 if __name__ == "__main__":
-    run_example(grid_png_example)
+    run_example(lightning_strokes_example)

examples/13_using_proxy.py

@@ -8,11 +8,10 @@ def time_series_example_using_proxy(username: str, password: str, _logger):
     enddate_ts = startdate_ts + dt.timedelta(days=1)
     interval_ts = dt.timedelta(hours=1)
     coordinates_ts = [(47.249297, 9.342854), (50., 10.)]
-    parameters_ts = ['t_2m:C', 'rr_1h:mm']
+    parameters_ts = ['t_2m:C', 'precip_1h:mm']
     model = 'mix'
     ens_select = None  # e.g. 'median'
     cluster_select = None  # e.g. "cluster:1", see http://api.meteomatics.com/API-Request.html#cluster-selection
-    interp_select = 'gradient_interpolation'
     proxies = {
         'http': 'http://localhost:8080',
         'https': 'https://localhost:8080',
@@ -23,7 +22,7 @@ def time_series_example_using_proxy(username: str, password: str, _logger):
     _logger.info("\ntime series:")
     try:
         df_ts = api.query_time_series(coordinates_ts, startdate_ts, enddate_ts, interval_ts, parameters_ts,
-                                      username, password, model, ens_select, interp_select,
+                                      username, password, model, ens_select,
                                       cluster_select=cluster_select)
         _logger.info("Dataframe head \n" + df_ts.head().to_string())
     except Exception as e:

examples/14_timeseries_with_init_date.py

@@ -12,13 +12,12 @@ def time_series_example(username: str, password: str, _logger):
     model = 'ecmwf-ifs'
     ens_select = None  # e.g. 'median'
     cluster_select = None  # e.g. "cluster:1", see http://api.meteomatics.com/API-Request.html#cluster-selection
-    interp_select = 'gradient_interpolation'
 
     _logger.info("\ntime series:")
     try:
         # init_date goes as part of kwargs of the function and is added to the final URL
         df_ts = api.query_time_series(coordinates_ts, startdate_ts, enddate_ts, interval_ts, parameters_ts,
-                                      username, password, model, ens_select, interp_select,
+                                      username, password, model, ens_select,
                                       cluster_select=cluster_select, init_date="2022-05-19T00Z")
         _logger.info("Dataframe head \n" + df_ts.head().to_string())
     except Exception as e:

meteomatics/__version__.py

@@ -1,3 +1,3 @@
 # -*- coding: utf-8 -*-
 
-__version__ = "2.8.1"
+__version__ = "2.8.2"