Version 1.6.7

* Bring back Pandas v2 support, add interpolate test

* Version 1.6.7

meteostat/__init__.py

@@ -12,7 +12,7 @@
 """
 
 __appname__ = "meteostat"
-__version__ = "1.6.6"
+__version__ = "1.6.7"
 
 from .interface.base import Base
 from .interface.timeseries import TimeSeries

requirements.txt

@@ -1,4 +1,4 @@
-pandas>=1.1,<2
+pandas>=1.1
 pytz
 numpy
 matplotlib

setup.py

@@ -15,7 +15,7 @@
 # Setup
 setup(
     name="meteostat",
-    version="1.6.6",
+    version="1.6.7",
     author="Meteostat",
     author_email="[email protected]",
     description="Access and analyze historical weather and climate data with Python.",
@@ -26,7 +26,7 @@
     python_requires=">=3.6.0",
     packages=find_packages(),
     include_package_data=True,
-    install_requires=["pandas>=1.1,<2", "pytz", "numpy"],
+    install_requires=["pandas>=1.1", "pytz", "numpy"],
     license="MIT",
     classifiers=[
         "Programming Language :: Python :: 3",

tests/e2e/test_hourly.py

@@ -51,6 +51,21 @@ def test_aggregate():
     assert count == 3
 
 
+def test_interpolate():
+    """
+    Test: interpolate() method
+    """
+
+    # Get data for one day at Frankfurt Airport
+    data = Hourly(
+        ["10637"], start=datetime(2018, 1, 1), end=datetime(2018, 1, 1, 23, 59)
+    )
+    count = data.normalize().interpolate().count()
+
+    # Check if count matches 24
+    assert count == 24
+
+
 def test_coverage():
     """
     Test: coverage() method