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test_oecd.py
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from datetime import datetime
import numpy as np
import pandas as pd
from pandas import testing as tm
import pytest
from pandas_datareader import data as web
from pandas_datareader._utils import RemoteDataError
class TestOECD:
@pytest.mark.xfail(reason="Incorrect URL")
def test_get_un_den(self):
df = web.DataReader(
"TUD", "oecd", start=datetime(1960, 1, 1), end=datetime(2012, 1, 1)
)
au = [
50.17292785,
49.47181009,
49.52106174,
49.16341327,
48.19296375,
47.8863461,
45.83517292,
45.02021403,
44.78983834,
44.37794217,
44.15358142,
45.38865546,
46.33092037,
47.2343406,
48.80023876,
50.0639872,
50.23390644,
49.8214994,
49.67636585,
49.55227375,
48.48657368,
47.41179739,
47.52526561,
47.93048854,
47.26327162,
45.4617105,
43.90202112,
42.32759607,
40.35838899,
39.35157364,
39.55023059,
39.93212859,
39.21948472,
37.24343693,
34.42549573,
32.51172639,
31.16809569,
29.78835077,
28.14657769,
25.41970706,
25.71752984,
24.53108811,
23.21936888,
22.99140633,
22.29380238,
22.29160819,
20.22236326,
18.51151852,
18.56792804,
19.31219498,
18.44405734,
18.51105048,
18.19718895,
]
jp = [
32.32911392,
33.73688458,
34.5969919,
35.01871257,
35.46869345,
35.28164117,
34.749499,
34.40573103,
34.50762389,
35.16411379,
35.10284332,
34.57209848,
34.31168831,
33.46611342,
34.26450371,
34.53099287,
33.69881466,
32.99814274,
32.59541985,
31.75696594,
31.14832536,
30.8917513,
30.56612982,
29.75285171,
29.22391559,
28.79202411,
28.18680064,
27.71454381,
26.94358748,
26.13165206,
25.36711479,
24.78408637,
24.49892557,
24.34256055,
24.25324675,
23.96731902,
23.3953401,
22.78797997,
22.52794337,
22.18157944,
21.54406273,
20.88284597,
20.26073907,
19.73945642,
19.25116713,
18.79844243,
18.3497807,
18.25095057,
18.2204924,
18.45787546,
18.40380743,
18.99504195,
17.97238372,
]
us = [
30.89748411,
29.51891217,
29.34276869,
28.51337535,
28.30646144,
28.16661991,
28.19557735,
27.76578899,
27.9004622,
27.30836054,
27.43402867,
26.94941363,
26.25996487,
25.83134349,
25.74427582,
25.28771204,
24.38412814,
23.59186681,
23.94328194,
22.36400776,
22.06009466,
21.01328205,
20.47463895,
19.45290876,
18.22953818,
17.44855678,
17.00126975,
16.5162476,
16.24744487,
15.86401127,
15.45147174,
15.46986912,
15.1499578,
15.13654544,
14.91544059,
14.31762091,
14.02052225,
13.55213736,
13.39571457,
13.36670812,
12.84874656,
12.85719022,
12.63753733,
12.39142968,
12.02130767,
11.96023574,
11.48458378,
11.56435375,
11.91022276,
11.79401904,
11.38345975,
11.32948829,
10.81535229,
]
index = pd.date_range("1960-01-01", "2012-01-01", freq="AS", name="Time")
for label, values in [("Australia", au), ("Japan", jp), ("United States", us)]:
expected = pd.Series(values, index=index, name=label)
tm.assert_series_equal(df[label], expected)
@pytest.mark.xfail(reason="Changes in API need fixes")
def test_get_tourism(self):
df = web.DataReader(
"TOURISM_INBOUND",
"oecd",
start=datetime(2008, 1, 1),
end=datetime(2012, 1, 1),
)
jp = np.array([8351000, 6790000, 8611000, 6219000, 8368000], dtype=float)
us = np.array(
[175702309, 160507417, 164079732, 167600277, 171320408], dtype=float
)
index = pd.date_range("2008-01-01", "2012-01-01", freq="AS", name="Year")
for label, values in [("Japan", jp), ("United States", us)]:
expected = pd.Series(values, index=index, name="Tourism demand surveys")
expected.index.freq = None
series = df[label]["Total international arrivals"]["Tourism demand surveys"]
tm.assert_series_equal(series, expected)
def test_oecd_invalid_symbol(self):
with pytest.raises(RemoteDataError):
web.DataReader("INVALID_KEY", "oecd")
with pytest.raises(ValueError):
web.DataReader(1234, "oecd")