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How to use the momepy.BlocksCount function in momepy

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github martinfleis / momepy / tests / test_intensity.py View on Github external
def test_BlocksCount(self):
        sw = mm.sw_high(k=5, gdf=self.df_tessellation, ids="uID")
        count = mm.BlocksCount(self.df_tessellation, "bID", sw, "uID").series
        count2 = mm.BlocksCount(
            self.df_tessellation, self.df_tessellation.bID, sw, "uID"
        ).series
        unweigthed = mm.BlocksCount(
            self.df_tessellation, "bID", sw, "uID", weighted=False
        ).series
        check = 3.142437439120778e-05
        check2 = 5.222222222222222
        assert count.mean() == check
        assert count2.mean() == check
        assert unweigthed.mean() == check2
        with pytest.raises(ValueError):
            count = mm.BlocksCount(
                self.df_tessellation, "bID", sw, "uID", weighted="yes"
            )
        sw_drop = mm.sw_high(k=5, gdf=self.df_tessellation[2:], ids="uID")
        assert (
            mm.BlocksCount(self.df_tessellation, "bID", sw_drop, "uID")
            .series.isna()
github martinfleis / momepy / tests / test_intensity.py View on Github external
def test_BlocksCount(self):
        sw = mm.sw_high(k=5, gdf=self.df_tessellation, ids="uID")
        count = mm.BlocksCount(self.df_tessellation, "bID", sw, "uID").series
        count2 = mm.BlocksCount(
            self.df_tessellation, self.df_tessellation.bID, sw, "uID"
        ).series
        unweigthed = mm.BlocksCount(
            self.df_tessellation, "bID", sw, "uID", weighted=False
        ).series
        check = 3.142437439120778e-05
        check2 = 5.222222222222222
        assert count.mean() == check
        assert count2.mean() == check
        assert unweigthed.mean() == check2
        with pytest.raises(ValueError):
            count = mm.BlocksCount(
                self.df_tessellation, "bID", sw, "uID", weighted="yes"
            )
        sw_drop = mm.sw_high(k=5, gdf=self.df_tessellation[2:], ids="uID")
        assert (
            mm.BlocksCount(self.df_tessellation, "bID", sw_drop, "uID")
            .series.isna()
github martinfleis / momepy / tests / test_intensity.py View on Github external
def test_BlocksCount(self):
        sw = mm.sw_high(k=5, gdf=self.df_tessellation, ids="uID")
        count = mm.BlocksCount(self.df_tessellation, "bID", sw, "uID").series
        count2 = mm.BlocksCount(
            self.df_tessellation, self.df_tessellation.bID, sw, "uID"
        ).series
        unweigthed = mm.BlocksCount(
            self.df_tessellation, "bID", sw, "uID", weighted=False
        ).series
        check = 3.142437439120778e-05
        check2 = 5.222222222222222
        assert count.mean() == check
        assert count2.mean() == check
        assert unweigthed.mean() == check2
        with pytest.raises(ValueError):
            count = mm.BlocksCount(
                self.df_tessellation, "bID", sw, "uID", weighted="yes"
            )
        sw_drop = mm.sw_high(k=5, gdf=self.df_tessellation[2:], ids="uID")
github martinfleis / momepy / tests / test_intensity.py View on Github external
def test_BlocksCount(self):
        sw = mm.sw_high(k=5, gdf=self.df_tessellation, ids="uID")
        count = mm.BlocksCount(self.df_tessellation, "bID", sw, "uID").series
        count2 = mm.BlocksCount(
            self.df_tessellation, self.df_tessellation.bID, sw, "uID"
        ).series
        unweigthed = mm.BlocksCount(
            self.df_tessellation, "bID", sw, "uID", weighted=False
        ).series
        check = 3.142437439120778e-05
        check2 = 5.222222222222222
        assert count.mean() == check
        assert count2.mean() == check
        assert unweigthed.mean() == check2
        with pytest.raises(ValueError):
            count = mm.BlocksCount(
                self.df_tessellation, "bID", sw, "uID", weighted="yes"
            )
        sw_drop = mm.sw_high(k=5, gdf=self.df_tessellation[2:], ids="uID")
        assert (
github martinfleis / momepy / tests / test_intensity.py View on Github external
).series
        unweigthed = mm.BlocksCount(
            self.df_tessellation, "bID", sw, "uID", weighted=False
        ).series
        check = 3.142437439120778e-05
        check2 = 5.222222222222222
        assert count.mean() == check
        assert count2.mean() == check
        assert unweigthed.mean() == check2
        with pytest.raises(ValueError):
            count = mm.BlocksCount(
                self.df_tessellation, "bID", sw, "uID", weighted="yes"
            )
        sw_drop = mm.sw_high(k=5, gdf=self.df_tessellation[2:], ids="uID")
        assert (
            mm.BlocksCount(self.df_tessellation, "bID", sw_drop, "uID")
            .series.isna()

momepy

Urban Morphology Measuring Toolkit

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BSD-3-Clause
Latest version published 5 months ago

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