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| import numpy as np
| import pytest
|
| import pandas as pd
| from pandas import (
| Index,
| Series,
| )
| import pandas._testing as tm
|
|
| def test_get():
| # GH 6383
| s = Series(
| np.array(
| [
| 43,
| 48,
| 60,
| 48,
| 50,
| 51,
| 50,
| 45,
| 57,
| 48,
| 56,
| 45,
| 51,
| 39,
| 55,
| 43,
| 54,
| 52,
| 51,
| 54,
| ]
| )
| )
|
| result = s.get(25, 0)
| expected = 0
| assert result == expected
|
| s = Series(
| np.array(
| [
| 43,
| 48,
| 60,
| 48,
| 50,
| 51,
| 50,
| 45,
| 57,
| 48,
| 56,
| 45,
| 51,
| 39,
| 55,
| 43,
| 54,
| 52,
| 51,
| 54,
| ]
| ),
| index=Index(
| [
| 25.0,
| 36.0,
| 49.0,
| 64.0,
| 81.0,
| 100.0,
| 121.0,
| 144.0,
| 169.0,
| 196.0,
| 1225.0,
| 1296.0,
| 1369.0,
| 1444.0,
| 1521.0,
| 1600.0,
| 1681.0,
| 1764.0,
| 1849.0,
| 1936.0,
| ],
| dtype=np.float64,
| ),
| )
|
| result = s.get(25, 0)
| expected = 43
| assert result == expected
|
| # GH 7407
| # with a boolean accessor
| df = pd.DataFrame({"i": [0] * 3, "b": [False] * 3})
| vc = df.i.value_counts()
| result = vc.get(99, default="Missing")
| assert result == "Missing"
|
| vc = df.b.value_counts()
| result = vc.get(False, default="Missing")
| assert result == 3
|
| result = vc.get(True, default="Missing")
| assert result == "Missing"
|
|
| def test_get_nan(float_numpy_dtype):
| # GH 8569
| s = Index(range(10), dtype=float_numpy_dtype).to_series()
| assert s.get(np.nan) is None
| assert s.get(np.nan, default="Missing") == "Missing"
|
|
| def test_get_nan_multiple(float_numpy_dtype):
| # GH 8569
| # ensure that fixing "test_get_nan" above hasn't broken get
| # with multiple elements
| s = Index(range(10), dtype=float_numpy_dtype).to_series()
|
| idx = [2, 30]
| assert s.get(idx) is None
|
| idx = [2, np.nan]
| assert s.get(idx) is None
|
| # GH 17295 - all missing keys
| idx = [20, 30]
| assert s.get(idx) is None
|
| idx = [np.nan, np.nan]
| assert s.get(idx) is None
|
|
| def test_get_with_default():
| # GH#7725
| d0 = ["a", "b", "c", "d"]
| d1 = np.arange(4, dtype="int64")
| others = ["e", 10]
|
| for data, index in ((d0, d1), (d1, d0)):
| s = Series(data, index=index)
| for i, d in zip(index, data):
| assert s.get(i) == d
| assert s.get(i, d) == d
| assert s.get(i, "z") == d
| for other in others:
| assert s.get(other, "z") == "z"
| assert s.get(other, other) == other
|
|
| @pytest.mark.parametrize(
| "arr",
| [np.random.randn(10), tm.makeDateIndex(10, name="a").tz_localize(tz="US/Eastern")],
| )
| def test_get_with_ea(arr):
| # GH#21260
| ser = Series(arr, index=[2 * i for i in range(len(arr))])
| assert ser.get(4) == ser.iloc[2]
|
| result = ser.get([4, 6])
| expected = ser.iloc[[2, 3]]
| tm.assert_series_equal(result, expected)
|
| result = ser.get(slice(2))
| expected = ser.iloc[[0, 1]]
| tm.assert_series_equal(result, expected)
|
| assert ser.get(-1) is None
| assert ser.get(ser.index.max() + 1) is None
|
| ser = Series(arr[:6], index=list("abcdef"))
| assert ser.get("c") == ser.iloc[2]
|
| result = ser.get(slice("b", "d"))
| expected = ser.iloc[[1, 2, 3]]
| tm.assert_series_equal(result, expected)
|
| result = ser.get("Z")
| assert result is None
|
| assert ser.get(4) == ser.iloc[4]
| assert ser.get(-1) == ser.iloc[-1]
| assert ser.get(len(ser)) is None
|
| # GH#21257
| ser = Series(arr)
| ser2 = ser[::2]
| assert ser2.get(1) is None
|
|
| def test_getitem_get(string_series, object_series):
| for obj in [string_series, object_series]:
| idx = obj.index[5]
|
| assert obj[idx] == obj.get(idx)
| assert obj[idx] == obj[5]
|
| assert string_series.get(-1) == string_series.get(string_series.index[-1])
| assert string_series[5] == string_series.get(string_series.index[5])
|
|
| def test_get_none():
| # GH#5652
| s1 = Series(dtype=object)
| s2 = Series(dtype=object, index=list("abc"))
| for s in [s1, s2]:
| result = s.get(None)
| assert result is None
|
|
