mirror of
https://github.com/wassname/geopandas.git
synced 2026-09-10 12:00:21 +08:00
Jacob Wasserman
1e0c2ed582
Treat Index objects as set-like. Convert to Series before doing arithmetic. This broke when Pandas Index no longer subclassed from NDArray.
90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
from __future__ import absolute_import
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import numpy as np
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from shapely.geometry import Point
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from pandas import Series, DataFrame
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from geopandas import GeoSeries, GeoDataFrame
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from .util import unittest
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OLD_PANDAS = issubclass(Series, np.ndarray)
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class TestSeries(unittest.TestCase):
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def setUp(self):
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N = self.N = 10
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r = 0.5
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self.pts = GeoSeries([Point(x, y) for x, y in zip(range(N), range(N))])
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self.polys = self.pts.buffer(r)
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def test_slice(self):
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assert type(self.pts[:2]) is GeoSeries
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assert type(self.pts[::2]) is GeoSeries
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assert type(self.polys[:2]) is GeoSeries
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def test_head(self):
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assert type(self.pts.head()) is GeoSeries
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def test_tail(self):
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assert type(self.pts.tail()) is GeoSeries
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def test_sort_index(self):
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assert type(self.pts.sort_index()) is GeoSeries
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def test_loc(self):
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assert type(self.pts.loc[5:]) is GeoSeries
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def test_iloc(self):
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assert type(self.pts.iloc[5:]) is GeoSeries
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def test_fancy(self):
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idx = (self.pts.index.to_series() % 2).astype(bool)
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assert type(self.pts[idx]) is GeoSeries
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def test_take(self):
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assert type(self.pts.take(list(range(0, self.N, 2)))) is GeoSeries
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def test_select(self):
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assert type(self.pts.select(lambda x: x % 2 == 0)) is GeoSeries
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@unittest.skipIf(OLD_PANDAS, 'Groupby not supported on pandas <= 0.12')
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def test_groupby(self):
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for f, s in self.pts.groupby(lambda x: x % 2):
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assert type(s) is GeoSeries
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class TestDataFrame(unittest.TestCase):
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def setUp(self):
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N = 10
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self.df = GeoDataFrame([
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{'geometry' : Point(x, y), 'value1': x + y, 'value2': x*y}
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for x, y in zip(range(N), range(N))])
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def test_geometry(self):
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assert type(self.df.geometry) is GeoSeries
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# still GeoSeries if different name
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df2 = GeoDataFrame({"coords": [Point(x,y) for x, y in zip(range(5),
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range(5))],
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"nums": range(5)}, geometry="coords")
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assert type(df2.geometry) is GeoSeries
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assert type(df2['coords']) is GeoSeries
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def test_nongeometry(self):
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assert type(self.df['value1']) is Series
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def test_geometry_multiple(self):
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assert type(self.df[['geometry', 'value1']]) is GeoDataFrame
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def test_nongeometry_multiple(self):
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assert type(self.df[['value1', 'value2']]) is DataFrame
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def test_slice(self):
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assert type(self.df[:2]) is GeoDataFrame
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assert type(self.df[::2]) is GeoDataFrame
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def test_fancy(self):
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idx = (self.df.index.to_series() % 2).astype(bool)
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assert type(self.df[idx]) is GeoDataFrame
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