def test_merge_datasets_by_closest_weather_station(self):
df_weather = weather.NOAAWeather()
nasa_firms = nasa_wildfires.NASAFIRMS()
df = merge_datasets_by_closest_weather_station(
df_weather, "DATE", nasa_firms, "acq_date"
)
self.assertIsInstance(df, pd.DataFrame)
def test_merge_datasets_by_closest_weather_point(self):
df_weather = pd.DataFrame(
np.array(
[
[5.876, 23.875, "2019-06-24"],
[3.286, 12.978, "2019-10-02"],
[8.564, 10.764, "2019-03-12"],
]
),
columns=["latitude", "longitude", "time"],
)
df_weather["latitude"] = df_weather["latitude"].astype(float)
df_weather["longitude"] = df_weather["longitude"].astype(float)
df_weather["time"] = pd.to_datetime(
df_weather["time"], format="%Y-%m-%d", errors="coerce"
)
nasa_firms = nasa_wildfires.NASAFIRMS()
df = merge_datasets_by_closest_weather_point(
df_weather, "time", nasa_firms, "acq_date"
)
self.assertIsInstance(df, pd.DataFrame)
def test_nasafirms_xlsx(self):
ds = nasa_wildfires.NASAFIRMS(
source_path=cfg.TEST_FR_FIRMS_XLSX_FALLBACK, fmt="xlsx"
)
self.assertIsInstance(ds, pd.DataFrame)
def test_nasafirms_json(self):
ds = nasa_wildfires.NASAFIRMS()
self.assertIsInstance(ds, pd.DataFrame)
