Starting to investigate the fact that qualitative features with NaN

[predictops.git] / predictops / source / meteofrance.py

diff --git a/predictops/source/meteofrance.py b/predictops/source/meteofrance.py
index afe18ad82e77efc3e495881fe540ad143f1d1284..6bd23edc1435b857c5a2a00150778870ad30ebd7 100644 (file)
--- a/predictops/source/meteofrance.py
+++ b/predictops/source/meteofrance.py
@@ -1,3 +1,5 @@
+from .source import Source
+

 from configparser import ConfigParser
 from csv import DictReader
 from datetime import datetime
 from configparser import ConfigParser
 from csv import DictReader
 from datetime import datetime


@@ -19,7 +21,7 @@ logger = getLogger()
 CSV_FILE = Path.cwd() / 'config' / 'features' / 'meteofrance_features.csv'
 
 
 CSV_FILE = Path.cwd() / 'config' / 'features' / 'meteofrance_features.csv'
 
 

-class MeteoFrance:
+class MeteoFrance(Source):

 
     _latitude    = None
     _longitude   = None
 
     _latitude    = None
     _longitude   = None


@@ -50,6 +52,9 @@ class MeteoFrance:
                   to their names in meteofrance_features.csv (cf. config directory)
 
         '''
                   to their names in meteofrance_features.csv (cf. config directory)
 
         '''

+        # Check for the integrity of feature names
+        Source.__init__(self)
+

         self._config = ConfigParser()
         self._config.read(config_file)
 
         self._config = ConfigParser()
         self._config.read(config_file)