def test_format(self): """ format_degrees """ self.assertEqual( format_degrees(Point.parse_degrees('-13', '19', 0)), "-13 19\' 0.0\"" )
def test_format(self): """ format_degrees """ self.assertEqual(format_degrees(Point.parse_degrees("-13", "19", 0)), "-13 19' 0.0\"")
def test_format(self): """ format_degrees """ self.assertEqual(format_degrees(Point.parse_degrees('-13', '19', 0)), "-13 19\' 0.0\"")
from geopy.point import Point from DataCenter.DataCenter import DataCenter from DataCenter.Geo.GeoRectangle import GeoRectangle from DataCenter.Query.Query import Query if __name__ == '__main__': start_date = input('Desired Start Date (YYYY MM DD): ') end_date = input('Desired End Date (YYYY MM DD): ') """ Brazil Sample """ # get brazilian actors # brDf = pd.read_csv('Scenarios/br_cham_legislators.csv') # actors = list(brDf.legislator_name) north = Point.parse_degrees(5, 16, 27.8, 'N') south = Point.parse_degrees(33, 45, 4.21, 'S') east = Point.parse_degrees(34, 47, 35.33, 'W') west = Point.parse_degrees(73, 58, 58.19, 'W') brazil = GeoRectangle(boundaries=(north, south, east, west), name='Brazil') query = Query( geographies=[brazil], gkgThemes=[ 'ENV_DEFORESTATION', 'ETH_INDIGINOUS', 'ENV_FORESTRY', 'PROPERTY_RIGHTS', 'UNGP_FORESTS_RIVERS_OCEANS', 'AGRICULTURE', 'FOOD_SECURITY', 'SELF_IDENTIFIED_HUMANITARIAN_CRISIS', 'SELF_IDENTIFIED_HUMAN_RIGHTS', 'SELF_IDENTIFIED_ATROCITY', 'SLFID_CIVIL_LIBERTIES', 'TAX_FOODSTAPLES', 'FOOD_STAPLE', 'UNSAFE_WORK_ENVIRONMENT', 'HUMAN_TRAFFICKING' ])
def test_format_float_precision(input, expected): assert format_degrees(Point.parse_degrees(*input)) == expected
def test_format_simple(input, expected): assert format_degrees(Point.parse_degrees(*input)) == expected