bump oldest dependency versions as per spec000 – 2025-10 (#717)

* initial attempt at Python 3.14 support

* bump oldest dependency version - #715

* remove 314 stuff snuck in from #716

* bump oldest numba

* remove unneeded lower bound logic

Author: jGaboardi

ci/envs/311-oldest.yaml

@@ -3,17 +3,17 @@ channels:
   - conda-forge
 dependencies:
   - python=3.11
-  - geopandas=0.14
+  - geopandas=1.0
   - inequality
   - libpysal=4.12.0
   - mapclassify
-  - networkx=3.2
-  - numpy=1.25
+  - networkx=3.3
+  - numpy=2.0
   - packaging
-  - pandas=2.0
+  - pandas=2.2
   - shapely=2.0
-  - tqdm=4.65
-  - numba=0.58
+  - tqdm=4.67
+  - numba=0.60
   - fiona=1.10
   # testing
   - codecov

docs/install.rst

@@ -84,14 +84,14 @@ Dependencies
 
 Required dependencies:
 
-- `geopandas`_ (>= 0.12.0)
+- `geopandas`_ (>= 1.0)
 - `libpysal`_ (>= 4.12.0)
 - `networkx`_
 - `tqdm`_
 
 Some functions also depend on additional packages, which are optional:
 
-- `mapclassify`_ (>= 2.4.2)
+- `mapclassify`_
 - `inequality`_
 - `numba`_
 - `esda`_
@@ -111,7 +111,7 @@ Some functions also depend on additional packages, which are optional:
 
 .. _numba: https://numba.pydata.org
 
-.. _tqdm: http://networkx.github.io
+.. _tqdm: https://tqdm.github.io
 
 .. _pysal: http://pysal.org
 

momepy/diversity.py

@@ -3,7 +3,6 @@
 from libpysal.graph import Graph
 from libpysal.graph._utils import _percentile_filtration_grouper
 from numpy.typing import NDArray
-from packaging.version import Version
 from pandas import DataFrame, Series
 
 try:
@@ -162,9 +161,6 @@ def describe_agg(
     6.0           652.432194   32.829824
     """  # noqa: E501
 
-    if Version(pd.__version__) <= Version("2.1.0"):
-        raise ImportError("pandas 2.1.0 or newer is required to use this function.")
-
     # series indice needs renaming, since multiindices
     # without explicit names cannot be joined
     if isinstance(y, np.ndarray):
@@ -289,9 +285,6 @@ def describe_reached_agg(
     4  683.514930         NaN
     """  # noqa: E501
 
-    if Version(pd.__version__) <= Version("2.1.0"):
-        raise ImportError("pandas 2.1.0 or newer is required to use this function.")
-
     # series indice needs renaming, since multiindices
     # without explicit names cannot be joined
     if isinstance(y, np.ndarray):

momepy/elements.py

@@ -13,7 +13,6 @@
 from shapely.geometry.base import BaseGeometry
 from shapely.ops import polygonize
 
-GPD_GE_10 = Version(gpd.__version__) >= Version("1.0dev")
 SHPLY_GE_210 = Version(shapely.__version__) >= Version("2.1.0")
 
 __all__ = [
@@ -127,7 +126,7 @@ def morphological_tessellation(
         )
 
     if isinstance(clip, GeoSeries | GeoDataFrame):
-        clip = clip.union_all() if GPD_GE_10 else clip.unary_union
+        clip = clip.union_all()
 
     mt = voronoi_frames(
         geometry,
@@ -772,11 +771,7 @@ def buffered_limit(
     elif not isinstance(buffer, int | float):
         raise ValueError("`buffer` must be either 'adaptive' or a number.")
 
-    return (
-        gdf.buffer(buffer, **kwargs).union_all()
-        if GPD_GE_10
-        else gdf.buffer(buffer, **kwargs).unary_union
-    )
+    return gdf.buffer(buffer, **kwargs).union_all()
 
 
 def get_network_ratio(df, edges, initial_buffer=500):
@@ -921,7 +916,7 @@ def enclosures(
         barriers = pd.concat([primary_barriers.geometry, limit_b.geometry])
     else:
         barriers = primary_barriers
-    unioned = barriers.union_all() if GPD_GE_10 else barriers.unary_union
+    unioned = barriers.union_all()
     polygons = polygonize(unioned)
     enclosures = gpd.GeoSeries(list(polygons), crs=primary_barriers.crs)
 

momepy/tests/test_diversity.py

@@ -3,15 +3,12 @@
 import pandas as pd
 import pytest
 from libpysal.graph import Graph
-from packaging.version import Version
 from pandas.testing import assert_frame_equal, assert_series_equal
 
 import momepy as mm
 
 from .conftest import assert_frame_result, assert_result
 
-PD_210 = Version(pd.__version__) >= Version("2.1.0")
-
 
 class TestDescribe:
     def setup_method(self):
@@ -394,9 +391,6 @@ def test_unique(self):
             un_nan_drop, un_nan_drop_expected, self.df_tessellation, check_names=False
         )
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_describe_agg(self):
         df = mm.describe_agg(
             self.df_buildings["area"],
@@ -469,9 +463,6 @@ def test_describe_agg(self):
         assert_result(df["sum"], expected_fl_area_sum, result_index)
         assert_result(df["mean"], expected_fl_area_mean, result_index)
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_describe_cols(self):
         df = mm.describe_agg(
             self.df_buildings["area"],
@@ -480,9 +471,6 @@ def test_describe_cols(self):
         )
         assert list(df.columns) == ["min", "max"]
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_describe_reached_agg(self):
         df_sw = mm.describe_reached_agg(
             self.df_buildings["fl_area"], self.df_buildings["nID"], graph=self.graph_sw
@@ -512,9 +500,6 @@ def test_describe_reached_agg(self):
             filtered_df["count"], filtered_expected, self.df_streets, check_names=False
         )
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_describe_reached_input_equality(self):
         island_result_df = mm.describe_agg(
             self.df_buildings["area"], self.df_buildings["nID"]
@@ -529,9 +514,6 @@ def test_describe_reached_input_equality(self):
             island_result_df.values, island_result_ndarray.values, equal_nan=True
         )
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_describe_reached_cols(self):
         df = mm.describe_reached_agg(
             self.df_buildings["fl_area"],
@@ -542,9 +524,6 @@ def test_describe_reached_cols(self):
         )
         assert list(df.columns) == ["min", "max"]
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_na_results(self):
         nan_areas = self.df_buildings["area"]
         nan_areas.iloc[range(0, len(self.df_buildings), 3),] = np.nan
@@ -614,9 +593,6 @@ def test_density(self):
             check_names=False,
         )
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_unweighted_percentile(self):
         perc = mm.percentile(self.df_tessellation["area"], self.diversity_graph)
         perc_expected = {
@@ -662,9 +638,6 @@ def test_unweighted_percentile(self):
         perc = mm.percentile(self.df_tessellation["area"].iloc[:100], graph)
         assert perc.loc[0].isna().all()
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_distance_decay_linearly_weighted_percentiles(self):
         # setup weight decay graph
 

momepy/tests/test_intensity.py

@@ -2,17 +2,13 @@
 import networkx as nx
 import numpy as np
 import pandas as pd
-import pytest
 from libpysal.graph import Graph
-from packaging.version import Version
 from pandas.testing import assert_series_equal
 
 import momepy as mm
 
 from .conftest import assert_result
 
-PD_210 = Version(pd.__version__) >= Version("2.1.0")
-
 
 class TestIntensity:
     def setup_method(self):
@@ -95,9 +91,6 @@ def test_node_density(self):
         assert_series_equal(alternative_density, density)
         assert_series_equal(alternative_weighted, weighted)
 
-    @pytest.mark.skipif(
-        not PD_210, reason="aggregation is different in previous pandas versions"
-    )
     def test_area_ratio(self):
         def area_ratio(overlay, covering, agg_key):
             res = mm.describe_agg(covering, agg_key)

pyproject.toml

@@ -34,13 +34,14 @@ classifiers = [
 ]
 requires-python = ">=3.11"
 dependencies = [
-    "geopandas>=0.14.0",
+    "geopandas>=1.0",
     "libpysal>=4.12.0",
-    "networkx>=3.2",
+    "networkx>=3.3",
+    "numpy>=2.0",
     "packaging",
-    "pandas>=2.0",
-    "shapely>=2",
-    "tqdm>=4.65",
+    "pandas>=2.2",
+    "shapely>=2.0",
+    "tqdm>=4.67",
 ]
 
 [project.urls]
@@ -49,7 +50,7 @@ Repository = "https://github.com/pysal/momepy"
 
 [project.optional-dependencies]
 plus = [
-    "numba",
+    "numba>=0.60",
     "inequality",
     "mapclassify",
     "esda",