From d9585d77ed35c30792763e9e6fe47a600556719a Mon Sep 17 00:00:00 2001
From: Christian Lamprecht <christian.lamprecht@aol.de>
Date: Thu, 28 Sep 2023 18:33:14 +0200
Subject: [PATCH] Version 1.6.7

* Bring back Pandas v2 support, add interpolate test

* Version 1.6.7
---
 meteostat/__init__.py    |  2 +-
 requirements.txt         |  2 +-
 setup.py                 |  4 ++--
 tests/e2e/test_hourly.py | 15 +++++++++++++++
 4 files changed, 19 insertions(+), 4 deletions(-)

diff --git a/meteostat/__init__.py b/meteostat/__init__.py
index 728d254..e693792 100644
--- a/meteostat/__init__.py
+++ b/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
diff --git a/requirements.txt b/requirements.txt
index 2a060c8..cb6a63a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-pandas>=1.1,<2
+pandas>=1.1
 pytz
 numpy
 matplotlib
diff --git a/setup.py b/setup.py
index a2af4da..4e6a020 100644
--- a/setup.py
+++ b/setup.py
@@ -15,7 +15,7 @@
 # Setup
 setup(
     name="meteostat",
-    version="1.6.6",
+    version="1.6.7",
     author="Meteostat",
     author_email="info@meteostat.net",
     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",
diff --git a/tests/e2e/test_hourly.py b/tests/e2e/test_hourly.py
index 2d5edbd..4d9cef4 100644
--- a/tests/e2e/test_hourly.py
+++ b/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