|
1 |
| -from datetime import datetime |
2 |
| -import os |
3 |
| - |
4 |
| -from pandas import DataFrame, MultiIndex |
5 |
| - |
6 |
| -import pytest |
7 |
| - |
8 |
| -import pandas_datareader.data as web |
9 |
| - |
10 |
| - |
11 |
| -@pytest.mark.skipif(os.getenv("IEX_SANDBOX") != 'enable', |
12 |
| - reason='All tests must be run in sandbox mode') |
13 |
| -class TestIEXDaily(object): |
14 |
| - |
15 |
| - @classmethod |
16 |
| - def setup_class(cls): |
17 |
| - pytest.importorskip("lxml") |
18 |
| - |
19 |
| - @property |
20 |
| - def start(self): |
21 |
| - return datetime(2015, 2, 9) |
22 |
| - |
23 |
| - @property |
24 |
| - def end(self): |
25 |
| - return datetime(2017, 5, 24) |
26 |
| - |
27 |
| - def test_iex_bad_symbol(self): |
28 |
| - with pytest.raises(Exception): |
29 |
| - web.DataReader("BADTICKER", "iex,", self.start, self.end) |
30 |
| - |
31 |
| - def test_iex_bad_symbol_list(self): |
32 |
| - with pytest.raises(Exception): |
33 |
| - web.DataReader(["AAPL", "BADTICKER"], "iex", |
34 |
| - self.start, self.end) |
35 |
| - |
36 |
| - def test_daily_invalid_date(self): |
37 |
| - start = datetime(2000, 1, 5) |
38 |
| - end = datetime(2017, 5, 24) |
39 |
| - with pytest.raises(Exception): |
40 |
| - web.DataReader(["AAPL", "TSLA"], "iex", start, end) |
41 |
| - |
42 |
| - def test_single_symbol(self): |
43 |
| - df = web.DataReader("AAPL", "iex", self.start, self.end) |
44 |
| - assert list(df) == ["open", "high", "low", "close", "volume"] |
45 |
| - assert len(df) == 578 |
46 |
| - |
47 |
| - def test_multiple_symbols(self): |
48 |
| - syms = ["AAPL", "MSFT", "TSLA"] |
49 |
| - df = web.DataReader(syms, "iex", self.start, self.end) |
50 |
| - assert sorted(list(df.columns.levels[1])) == syms |
51 |
| - for sym in syms: |
52 |
| - assert len(df.xs(sym, level='Symbols', axis=1) == 578) |
53 |
| - |
54 |
| - def test_multiple_symbols_2(self): |
55 |
| - syms = ["AAPL", "MSFT", "TSLA"] |
56 |
| - good_start = datetime(2017, 2, 9) |
57 |
| - good_end = datetime(2017, 5, 24) |
58 |
| - df = web.DataReader(syms, "iex", good_start, good_end) |
59 |
| - assert isinstance(df, DataFrame) |
60 |
| - assert isinstance(df.columns, MultiIndex) |
61 |
| - assert len(df.columns.levels[1]) == 3 |
62 |
| - assert sorted(list(df.columns.levels[1])) == syms |
63 |
| - |
64 |
| - a = df.xs("AAPL", axis=1, level='Symbols') |
65 |
| - t = df.xs("TSLA", axis=1, level='Symbols') |
66 |
| - |
67 |
| - assert len(a) == 73 |
68 |
| - assert len(t) == 73 |
| 1 | +from datetime import datetime |
| 2 | +import os |
| 3 | + |
| 4 | +from pandas import DataFrame, MultiIndex |
| 5 | + |
| 6 | +import pytest |
| 7 | + |
| 8 | +import pandas_datareader.data as web |
| 9 | + |
| 10 | + |
| 11 | +@pytest.mark.skipif(os.getenv("IEX_SANDBOX") != 'enable', |
| 12 | + reason='All tests must be run in sandbox mode') |
| 13 | +class TestIEXDaily(object): |
| 14 | + |
| 15 | + @classmethod |
| 16 | + def setup_class(cls): |
| 17 | + pytest.importorskip("lxml") |
| 18 | + |
| 19 | + @property |
| 20 | + def start(self): |
| 21 | + return datetime(2015, 2, 9) |
| 22 | + |
| 23 | + @property |
| 24 | + def end(self): |
| 25 | + return datetime(2017, 5, 24) |
| 26 | + |
| 27 | + def test_iex_bad_symbol(self): |
| 28 | + with pytest.raises(Exception): |
| 29 | + web.DataReader("BADTICKER", "iex,", self.start, self.end) |
| 30 | + |
| 31 | + def test_iex_bad_symbol_list(self): |
| 32 | + with pytest.raises(Exception): |
| 33 | + web.DataReader(["AAPL", "BADTICKER"], "iex", |
| 34 | + self.start, self.end) |
| 35 | + |
| 36 | + def test_daily_invalid_date(self): |
| 37 | + start = datetime(2000, 1, 5) |
| 38 | + end = datetime(2017, 5, 24) |
| 39 | + with pytest.raises(Exception): |
| 40 | + web.DataReader(["AAPL", "TSLA"], "iex", start, end) |
| 41 | + |
| 42 | + def test_single_symbol(self): |
| 43 | + df = web.DataReader("AAPL", "iex", self.start, self.end) |
| 44 | + assert list(df) == ["open", "high", "low", "close", "volume"] |
| 45 | + assert len(df) == 578 |
| 46 | + |
| 47 | + def test_multiple_symbols(self): |
| 48 | + syms = ["AAPL", "MSFT", "TSLA"] |
| 49 | + df = web.DataReader(syms, "iex", self.start, self.end) |
| 50 | + assert sorted(list(df.columns.levels[1])) == syms |
| 51 | + for sym in syms: |
| 52 | + assert len(df.xs(sym, level='Symbols', axis=1) == 578) |
| 53 | + |
| 54 | + def test_multiple_symbols_2(self): |
| 55 | + syms = ["AAPL", "MSFT", "TSLA"] |
| 56 | + good_start = datetime(2017, 2, 9) |
| 57 | + good_end = datetime(2017, 5, 24) |
| 58 | + df = web.DataReader(syms, "iex", good_start, good_end) |
| 59 | + assert isinstance(df, DataFrame) |
| 60 | + assert isinstance(df.columns, MultiIndex) |
| 61 | + assert len(df.columns.levels[1]) == 3 |
| 62 | + assert sorted(list(df.columns.levels[1])) == syms |
| 63 | + |
| 64 | + a = df.xs("AAPL", axis=1, level='Symbols') |
| 65 | + t = df.xs("TSLA", axis=1, level='Symbols') |
| 66 | + |
| 67 | + assert len(a) == 73 |
| 68 | + assert len(t) == 73 |
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