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test_coins.py
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test_coins.py
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import geopandas as gpd
import momepy as mm
import pandas as pd
from pandas.testing import assert_index_equal, assert_series_equal
import pytest
class TestCOINS:
def setup_method(self):
test_file_path = mm.datasets.get_path("bubenec")
self.gdf = gpd.read_file(test_file_path, layer="streets")
def test_stroke_gdf(self):
coins = mm.COINS(self.gdf)
result = coins.stroke_gdf()
assert result.shape == (10, 2)
expected_index = pd.Index(list(range(10)), name="stroke_group")
assert_index_equal(result.index, expected_index)
expected_segments = pd.Series(
[8, 19, 17, 13, 5, 14, 2, 3, 3, 5],
name="n_segments",
index=expected_index,
)
assert_series_equal(result["n_segments"], expected_segments)
assert result.length.sum() == pytest.approx(self.gdf.length.sum())
expected = pd.Series(
[
839.5666838320316,
759.0900425060918,
744.7579337248078,
1019.7095084794428,
562.2466914415573,
1077.3606756995746,
193.04063727323836,
187.49184699173748,
182.6849740039611,
382.50195042922803,
],
index=expected_index,
)
assert_series_equal(
result.length, expected, check_less_precise=6, check_exact=False
)
def test_stroke_attribute(self):
coins = mm.COINS(self.gdf)
result = coins.stroke_attribute()
expected = pd.Series(
[
0,
1,
2,
3,
2,
0,
4,
3,
4,
4,
5,
5,
5,
6,
2,
2,
1,
0,
5,
1,
0,
0,
2,
2,
3,
3,
3,
7,
8,
5,
5,
3,
5,
1,
9,
]
)
assert_series_equal(result, expected)
def test_premerge(self):
coins = mm.COINS(self.gdf)
result = coins._premerge()
assert result.shape == (89, 8)
expected_columns = pd.Index(
[
"orientation",
"links_p1",
"links_p2",
"best_p1",
"best_p2",
"p1_final",
"p2_final",
"geometry",
]
)
assert_index_equal(result.columns, expected_columns)
assert not result.isna().any().any()