fixed #295

changed pandas freqstr in parse_prices. this requires pandas to be >= 2.2.0

.gitignore

@@ -1,5 +1,7 @@
 # odd custom folders
 ne_10m_admin_0_countries
+scratch
+
 
 # Byte-compiled / optimized / DLL files
 __pycache__/

entsoe/entsoe.py

@@ -23,7 +23,7 @@
 warnings.filterwarnings('ignore', category=XMLParsedAsHTMLWarning)
 
 __title__ = "entsoe-py"
-__version__ = "0.6.2"
+__version__ = "0.6.3"
 __author__ = "EnergieID.be, Frank Boerman"
 __license__ = "MIT"
 
@@ -1160,12 +1160,12 @@ def query_day_ahead_prices(
             self, country_code: Union[Area, str],
             start: pd.Timestamp,
             end: pd.Timestamp,
-            resolution: List[Literal['60T', '30T', '15T']] = '60T') -> pd.Series:
+            resolution: List[Literal['60min', '30min', '15min']] = '60min') -> pd.Series:
         """
         Parameters
         ----------
-        resolution: either 60T for hourly values, 
-            30T for half-hourly values or 15T for quarterly values, throws error if type is not available
+        resolution: either 60min for hourly values,
+            30min for half-hourly values or 15min for quarterly values, throws error if type is not available
         country_code : Area|str
         start : pd.Timestamp
         end : pd.Timestamp
@@ -1174,8 +1174,8 @@ def query_day_ahead_prices(
         -------
         pd.Series
         """
-        if resolution not in ['60T', '30T', '15T']:
-            raise InvalidParameterError('Please choose either 60T, 30T or 15T')
+        if resolution not in ['60min', '30min', '15min']:
+            raise InvalidParameterError('Please choose either 60min, 30min or 15min')
         area = lookup_area(country_code)
         # we do here extra days at start and end to fix issue 187
         text = super(EntsoePandasClient, self).query_day_ahead_prices(

entsoe/parsers.py

@@ -29,9 +29,9 @@ def parse_prices(xml_text):
     pd.Series
     """
     series = {
-        '15T': [],
-        '30T': [],
-        '60T': []
+        '15min': [],
+        '30min': [],
+        '60min': []
     }
     for soup in _extract_timeseries(xml_text):
         soup_series = _parse_timeseries_generic(soup, 'price.amount')

requirements.txt

@@ -1,4 +1,4 @@
 requests
 pytz
 beautifulsoup4>=4.11.1
-pandas>=1.4.0
+pandas>=2.2.0

setup.py

@@ -53,6 +53,7 @@
         # that you indicate whether you support Python 2, Python 3 or both.
         'Programming Language :: Python :: 3.9',
         'Programming Language :: Python :: 3.10',
+        'Programming Language :: Python :: 3.11'
     ],
 
     keywords='ENTSO-E data api energy',
@@ -67,7 +68,7 @@
 
     # List run-time dependencies here.  These will be installed by pip when
     # your project is installed.
-    install_requires=['requests', 'pytz', 'beautifulsoup4>=4.11.1', 'pandas>=1.4.0'],
+    install_requires=['requests', 'pytz', 'beautifulsoup4>=4.11.1', 'pandas>=2.2.0'],
 
     include_package_data=True,
 )