Meteostat 1.6.5 (#109)

* Meteostat 1.6.5

* Ignore consider-using-set-comprehension

.pylintrc

@@ -9,7 +9,8 @@ disable=print-statement,
         import-outside-toplevel,
         duplicate-code,
         import-error,
-        nan-comparison
+        nan-comparison,
+        consider-using-set-comprehension
 
 [BASIC]
 

meteostat/__init__.py

@@ -12,7 +12,7 @@
 """
 
 __appname__ = "meteostat"
-__version__ = "1.6.4"
+__version__ = "1.6.5"
 
 from .interface.base import Base
 from .interface.timeseries import TimeSeries

meteostat/interface/hourly.py

@@ -104,8 +104,11 @@ def _set_time(
         Set & adapt the period's time zone
         """
 
-        if timezone:
+        # Don't use chunks if full dataset is requested
+        if start == None:
+            self.chunked = False
 
+        if timezone:
             # Save timezone
             self._timezone = timezone
 
@@ -121,11 +124,14 @@ def _set_time(
                 end = timezone.localize(end, is_dst=None).astimezone(pytz.utc)
 
         if self.chunked:
-
-            self._annual_steps = [
-                (start + timedelta(days=365 * i)).year
-                for i in range(end.year - start.year + 2)
-            ]
+            self._annual_steps = list(
+                set(
+                    [
+                        (start + timedelta(days=365 * i)).year
+                        for i in range(end.year - start.year + 2)
+                    ]
+                )
+            )
 
         self._start = start
         self._end = end

meteostat/utilities/mutations.py

@@ -9,6 +9,7 @@
 """
 
 from datetime import datetime
+from typing import Union
 import numpy as np
 import pandas as pd
 
@@ -21,7 +22,11 @@ def localize(df: pd.DataFrame, timezone: str) -> pd.DataFrame:
     return df.tz_localize("UTC", level="time").tz_convert(timezone, level="time")
 
 
-def filter_time(df: pd.DataFrame, start: datetime, end: datetime) -> pd.DataFrame:
+def filter_time(
+    df: pd.DataFrame,
+    start: Union[datetime, None] = None,
+    end: Union[datetime, None] = None,
+) -> pd.DataFrame:
     """
     Filter time series data based on start and end date
     """
@@ -30,7 +35,7 @@ def filter_time(df: pd.DataFrame, start: datetime, end: datetime) -> pd.DataFram
     time = df.index.get_level_values("time")
 
     # Filter & return
-    return df.loc[(time >= start) & (time <= end)]
+    return df.loc[(time >= start) & (time <= end)] if start and end else df
 
 
 def adjust_temp(df: pd.DataFrame, alt: int):

setup.py

@@ -15,7 +15,7 @@
 # Setup
 setup(
     name="meteostat",
-    version="1.6.4",
+    version="1.6.5",
     author="Meteostat",
     author_email="[email protected]",
     description="Access and analyze historical weather and climate data with Python.",