1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
|
import numpy as np
import pandas
from ulmo import util
from ulmo.ncdc import ghcn_daily
import test_util
test_stations = [
{
'country': 'US',
'elevation': 286.5,
'gsn_flag': 'GSN',
'hcn_flag': 'HCN',
'id': 'USW00003870',
'latitude': 34.8831,
'longitude': -82.2203,
'name': 'GREER',
'network': 'W',
'network_id': '00003870',
'state': 'SC',
'wm_oid': '72312'
}, {
'country': 'US',
'elevation': 91.1,
'gsn_flag': None,
'hcn_flag': None,
'id': 'USW00003850',
'latitude': 31.2667,
'longitude': -85.7167,
'name': 'CAIRNS FLD FT RUCKER',
'network': 'W',
'network_id': '00003850',
'state': 'AL',
'wm_oid': None
},
]
test_data = {
'USW00003870': {
'ACMH': {
'1965-03-27': (50, np.nan, np.nan, 'X'),
},
'PRCP': {
'1962-10-01': (np.nan, np.nan, np.nan, np.nan),
'1962-10-14': (np.nan, np.nan, np.nan, np.nan),
'1962-10-15': (0, np.nan, np.nan, 'X'),
'1962-10-16': (0, 'T', np.nan, 'X'),
'1962-10-17': (0, np.nan, np.nan, 'X'),
'1962-10-21': (102, np.nan, np.nan, 'X'),
'1962-10-31': (30, np.nan, np.nan, 'X'),
'1963-02-01': (15, np.nan, np.nan, '0'),
'1963-02-28': (0, np.nan, np.nan, '0'),
'1963-03-01': (249, np.nan, np.nan, '0'),
'1984-02-01': (0, np.nan, np.nan, '0'),
'1984-02-06': (8, np.nan, np.nan, '0'),
'1984-02-28': (20, np.nan, np.nan, '0'),
'1984-02-29': (0, np.nan, np.nan, '0'),
'1984-03-01': (0, np.nan, np.nan, '0'),
'1984-03-05': (287, np.nan, np.nan, '0'),
'2012-03-01': (0, 'T', np.nan, 'X'),
'2012-03-02': (10, np.nan, np.nan, 'X'),
'2012-03-03': (422, np.nan, np.nan, 'X'),
},
},
'USC00411885': {
'PRCP': {
'1912-09-01': (0, 'P', np.nan, '6'),
'1912-09-05': (0, 'P', np.nan, '6'),
'1912-09-06': (0, 'P', np.nan, '6'),
'1912-09-07': (0, 'P', np.nan, '6'),
'1912-09-08': (0, 'P', np.nan, '6'),
'1912-09-30': (0, 'P', np.nan, '6'),
},
},
}
def test_get_data_as_dataframes():
for station_id, sample_data in test_data.items():
elements = list(sample_data.keys())
with test_util.mocked_urls('ncdc/ghcnd/%s.dly' % station_id):
station_data = ghcn_daily.get_data(
station_id, elements=elements, as_dataframe=True)
for element_id, element_test_data in sample_data.items():
element_df = station_data[element_id]
for date, test_value in element_test_data.items():
date = pandas.Period(pandas.Timestamp(date), freq='D')
value = element_df.xs(date)
test_array = np.array(test_value, dtype=value.dtype)
nulls = pandas.isnull(value)
assert np.all(pandas.isnull(test_array) == nulls)
assert np.all(value[~nulls.values] == test_array[~nulls.values])
def test_get_data_as_dicts():
for station_id, sample_data in test_data.items():
elements = list(sample_data.keys())
with test_util.mocked_urls('ncdc/ghcnd/%s.dly' % station_id):
station_data = ghcn_daily.get_data(station_id, elements=elements)
for element_id, element_test_data in sample_data.items():
element_dict = station_data[element_id]
for date, test_value in element_test_data.items():
value_dict = element_dict[date]
values = [
value_dict.get(v)
for v in ['value', 'mflag', 'qflag', 'sflag']
]
value = np.array(values, dtype=object)
test_array = np.array(test_value, dtype=value.dtype)
nulls = pandas.isnull(value)
assert np.all(pandas.isnull(test_array) == nulls)
assert np.all(value[~nulls] == test_array[~nulls])
def test_get_stations_as_dicts():
with test_util.mocked_urls('ncdc/ghcnd/ghcnd-stations.txt'):
stations = ghcn_daily.get_stations()
assert len(stations) > 80000
for test_station in test_stations:
station_id = test_station.get('id')
assert stations.get(station_id) == test_station
def test_get_stations_as_dataframe():
with test_util.mocked_urls('ncdc/ghcnd/ghcnd-stations.txt'):
stations = ghcn_daily.get_stations(as_dataframe=True)
assert len(stations) > 80000
for test_station in test_stations:
station_id = test_station.get('id')
station = stations.xs(station_id)
station_dict = util.misc._nans_to_nones(station.to_dict())
assert station_dict == test_station
def test_get_stations_by_country():
with test_util.mocked_urls('ncdc/ghcnd/ghcnd-stations.txt'):
stations = ghcn_daily.get_stations(country='US', as_dataframe=True)
assert len(stations) > 45000
def test_get_stations_by_state():
with test_util.mocked_urls('ncdc/ghcnd/ghcnd-stations.txt'):
stations = ghcn_daily.get_stations(state='TX', as_dataframe=True)
assert len(stations) > 3200
def test_get_stations_with_date_range():
test_ranges = [
{
'start': 2011,
'end': None,
'includes': [
'KE000063661',
'USS0021E07S',
'ZI000067983',
],
'excludes': [
'JQW00021601',
'USC00448257',
'ZI000067991',
],
}, {
'start': None,
'end': 1920,
'includes': [
'USW00094957',
'WZ004451000',
'WZ004455110',
'WZ004834260',
],
'excludes': [
'ASN00005063',
'CA00405DJDN',
'CA005040896',
],
}, {
'start': 1937,
'end': 1945,
'includes': [
'ASN00015621',
'ASN00023053',
'WZ004451000',
'WZ004834260',
],
'excludes': [
'ASN00041460',
'ASN00023301',
'US1COLR0770',
'US1COLR0850',
],
}, {
'start': 1960,
'end': 1960,
'includes': [
'ASN00078019',
'ASN00041435',
],
'excludes': [
'US1COLR0770',
'US1COLR0850',
],
},
]
url_files = {
'ghcnd-stations': 'ncdc/ghcnd/ghcnd-stations.txt',
'ghcnd-inventory': 'ncdc/ghcnd/ghcnd-inventory.txt'
}
with test_util.mocked_urls(url_files):
for test_range in test_ranges:
start = test_range.get('start')
end = test_range.get('end')
stations = ghcn_daily.get_stations(start_year=start,
end_year=end, as_dataframe=True)
_check_stations_dataframe(stations,
test_range.get('includes'),
test_range.get('excludes'))
def test_get_stations_with_elements():
test_elements = [
{
'elements': 'PRCP',
'includes': [
'ASN00008230',
'WA006567710',
'VQC00672823',
],
'excludes': ['SWE00136141', 'USR0000OHOR', 'USC00450935', 'USR0000THEN', 'USR0000MDRY'],
}, {
'elements': ['SNOW', 'TMAX'],
'includes': [
'ACW00011604',
'USW00094895',
'VQW00011640',
'ZI000067991',
],
'excludes': ['BR037642870', 'BR00C8-0100', 'BR048519530', 'BR002548070', 'IN009081600']
},
]
url_files = {
'ghcnd-stations': 'ncdc/ghcnd/ghcnd-stations.txt',
'ghcnd-inventory': 'ncdc/ghcnd/ghcnd-inventory.txt'
}
with test_util.mocked_urls(url_files):
for test_element in test_elements:
elements = test_element.get('elements')
stations = ghcn_daily.get_stations(elements=elements,
as_dataframe=True)
_check_stations_dataframe(stations,
test_element.get('includes'),
test_element.get('excludes'))
def _check_stations_dataframe(stations, includes, excludes):
for include in includes:
assert include in stations['id']
for exclude in excludes:
assert not exclude in stations['id']
|
