Ejemplo n.º 1
0
if __name__ == '__main__':

    params = loader.parseArgs(sys.argv[1:])

    inputs = loader.getInputs()

    inputFile = inputs[0]["path"][0]
    df_madrid = filewriter.jsonToObj(inputFile)

    itemCursor = 0
    postalCode = df_madrid["features"][itemCursor]["properties"]["COD_POSTAL"]
    formType = df_madrid["features"][itemCursor]["geometry"]["type"]  # Polygon
    geometryListPoints = df_madrid["features"][itemCursor]["geometry"][
        "coordinates"][0]

    SVG_PATH1 = loader.getOutputPath()["path"] + 'radar.svg'
    PNG_PATH1 = loader.getOutputPath()["path"] + 'radar.png'

    imageWidth = 800
    imageHeight = 800
    imagePadding = 200
    limitSize = 200

    dwg = svgwrite.Drawing(SVG_PATH1,
                           profile='tiny',
                           size=(imageWidth, imageHeight))

    # CIRCLE = dwg.circle( [400, 400 ] , 50 , fill="none", stroke="#000")
    # dwg.add( CIRCLE )
    #dwg.add(dwg.text( itemText , insert= topPos , fill='black'))
                    }
                }
                geometryListPoints.append(regionData)
        else:
            regionData = {
                "coordinates": region["geometry"]["coordinates"][0],
                "properties": {
                    "postalcode": region["properties"]["COD_POSTAL"],
                    "region": "madrid"
                }
            }
            geometryListPoints.append(regionData)

    # .......................................................................... block: Translate coordinates to pixels

    SVG_PATH = loader.getOutputPath()["path"] + 'all.svg'
    PNG_PATH = loader.getOutputPath()["path"] + 'all.png'
    mapservice = MapService(SVG_PATH, PNG_PATH, 800, 800, geometryListPoints)
    mapservice.run()

    #Get colors pallete
    _colors = mapservice.getColors()

    # .......................................................................... block: Locate sensor values

    #com: Get a column with normalized values
    CO_min = df_year2018['CO'].min()
    CO_max = df_year2018['CO'].max()
    CO_norm = (df_year2018['CO'] - CO_min) / (CO_max - CO_min)
    df_year2018['CO_norm'] = CO_norm
Ejemplo n.º 3
0
                    }
                }
                geometryListPoints.append( regionData )
        else:
            regionData = {
                "coordinates": region["geometry"]["coordinates"][0],
                "properties": {
                    "postalcode": region["properties"]["COD_POSTAL"],
                    "region":"madrid"
                }
            }
            geometryListPoints.append( regionData )

    #___________________________________________________________________________

    SVG_PATH = loader.getOutputPath( )["path"] + 'separate.svg'
    PNG_PATH = loader.getOutputPath( )["path"] + 'separate.png'
    mapservice = MapService( SVG_PATH, PNG_PATH, 800, 800, geometryListPoints )
    # mapservice.run()

    stationsFile =  inputs[1]["path"][ 0 ]
    df_stations = filewriter.csvToDF( stationsFile )
    idStation = 15
    _lon =  df_stations["lon"][ idStation ]
    _lat =  df_stations["lat"][ idStation ]


    xyStacion = ( 1,1 ) # mapservice.mapCoorToXY( ( _lon, _lat ) )

    print mapservice.isPointInPolygon( xyStacion, [( 450,450 ),( 460, 450 ),( 470 ,450   )]   )
    # print mapservice.getPostalcodeByCoors( xyStacion)
Ejemplo n.º 4
0
from lib.reporter import Reporter
reporter = Reporter(  ROUTES  )

#Extend the Reporter with the desired Report-Class
# from lib.reporters.MultiLayerTimeSerie import MultiLayerTimeSerie
# multilayer = MultiLayerTimeSerie()
# reporter.builder = multilayer.builder

#......................
sys.path.append( currentFullRoute )

# --------------------------------------------------- CUSTOM LIBS

import zipfile

# ---------------------------------------------------------------------- MAIN

if __name__ == '__main__':

    params = loader.parseArgs( sys.argv[1:] )

    inputs = loader.getInputs()
    inputFile =  inputs[0]["path"][0]

    zip_ref = zipfile.ZipFile( inputFile, 'r')

    zip_ref.extractall( loader.getOutputPath( )["path"] )
    zip_ref.close()

    loader.saveMetas();