A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/series/indexing/test_get.py

214 lines
4.8 KiB

import numpy as np
import pytest
import pandas as pd
from pandas import Series
import pandas._testing as tm
from pandas.core.api import Float64Index
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=Float64Index(
[
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,
]
),
)
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():
# GH 8569
s = Float64Index(range(10)).to_series()
assert s.get(np.nan) is None
assert s.get(np.nan, default="Missing") == "Missing"
def test_get_nan_multiple():
# GH 8569
# ensure that fixing "test_get_nan" above hasn't broken get
# with multiple elements
s = Float64Index(range(10)).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