def __init__(self, PathImg='', Fol='201303060940', V=['Prec', 'Pres']):
MapFold = np.array(utl.GetFolders(PathImg + 'Maps/'))
SeriesFold = np.array(utl.GetFolders(PathImg + 'Series/'))
RadarFold = np.array(utl.GetFolders(PathImg + 'Radar/'))
xFolMap = np.where(MapFold == Fol)[0]
xFolSer = np.where(SeriesFold == Fol)[0]
xFolRad = np.where(RadarFold == Fol)[0]
if len(xFolSer) == 0:
E = utl.ShowError(
'__init__', 'MapSeriesGen',
'No se encuentra la carpeta en los dos directorios')
raise E
if len(xFolMap) != 0:
self.PathMaps = PathImg + 'Maps/' + MapFold[xFolMap[0]] + '/'
self.ArchMap = gl.glob(self.PathMaps + '*.png')
self.Names = [i[len(self.PathMaps):-4] for i in self.ArchMap]
self.PathSeries = PathImg + 'Series/' + SeriesFold[
xFolSer[0]] + '/' + V[1] + '/'
self.ArchSeries = gl.glob(self.PathSeries + '*.png')
self.NamesSeries = [
i[len(self.PathSeries):-4] for i in self.ArchSeries
]
if len(xFolRad) != 0:
# Se cargan los archivos, tener en cuenta la variable del radar 'DBZH'
self.PathRadar1 = PathImg + 'Radar/' + SeriesFold[
xFolSer[0]] + '/' + V[0] + '/DBZH/'
self.PathRadar2 = PathImg + 'Radar/' + SeriesFold[
xFolSer[0]] + '/' + V[1] + '/DBZH/'
self.ArchRadar1 = gl.glob(self.PathRadar1 + '*.png')
self.ArchRadar2 = gl.glob(self.PathRadar2 + '*.png')
self.NamesRadar1 = [
i[len(self.PathRadar1):-4] for i in self.ArchRadar1
]
self.NamesRadar2 = [
i[len(self.PathRadar2):-4] for i in self.ArchRadar2
]
return
def __init__(self,PathData,Stations,Var=None):
'''
DESCRIPTION:
Class Constructor.
'''
# -------------------------
# Error Managment
# -------------------------
if not(isinstance(Stations,list)) and not(isinstance(Stations,str)):
raise TypeError('SIATA','__init__','Erroneus type for Station information')
if not(isinstance(Var,list)) and not(isinstance(Var,str)):
raise TypeError('SIATA','__init__','Erroneus type for Var information')
# -------------------------
# Parameters
# -------------------------
self.PathData = PathData
self.deli = ',' # Delimeter
# Important Variables
# String Variables
self.LabelsStr = np.array(['Time'])
self.LabelsData = np.array(['Temperature','DewpointC','Presion',
'WindSpeedKMH','WindDirectionDegrees','P1','P2',
'Radiacion','Humedad'])
self.LabDataOper = {'Temperature':'mean','DewpointC':'mean',
'Presion':'mean','WindSpeedKMH':'mean',
'WindDirectionDegrees':'mean','P1':'sum','P2':'sum',
'Radiacion':'mean','Humedad':'mean'}
self.LabDataOper1 = {'Temperature':'mean','DewpointC':'mean',
'Presion':'mean','WindSpeedKMH':'mean',
'WindDirectionDegrees':'mean','P1':'sum','P2':'sum',
'Radiacion':'mean','Humedad':'mean'}
self.LabDataOper2 = {'Temperature':'mean','DewpointC':'mean',
'Presion':'mean','WindSpeedKMH':'mean',
'WindDirectionDegrees':'mean','P1':'sum','P2':'sum',
'Radiacion':'mean','Humedad':'mean'}
self.LabDataOper3 = {'Temperature':'mean','DewpointC':'mean',
'Presion':'mean','WindSpeedKMH':'mean',
'WindDirectionDegrees':'mean','P1':'sum','P2':'sum',
'Radiacion':'mean','Humedad':'mean'}
self.LabDataSave = {'Temperature':'TC','DewpointC':'TDC',
'Presion':'Pres','WindSpeedKMH':'WS',
'WindDirectionDegrees':'WSD','P1':'Prec1','P2':'Prec2',
'Radiacion':'Rad','Humedad':'HR'}
self.ElimOver = {'TC':None,'Td':None,
'PresC':None,'WSC':None,
'WDC':None,'PrecC':None,
'RSC':None,'HRC':None}
self.ElimLow = {'TC':None,'Td':None,
'PresC':None,'WSC':None,
'WDC':None,'PrecC':None,
'RSC':None,'HRC':None}
self.LabelsWithUnits = {'TC':'Temperatura [°C]','Td':'Punto de Rocio [°C]',
'PresC':'Presión [hPa]','WSC':'Vel. Viento [m/s]',
'WDC':'Dirección del Viento [Grados]','PrecC':'Precipitación [mm]',
'RSC':r'Radiación Solar [W/m$^2$]','HRC':'Hum. Rel. [%]'}
self.LabelsNoUnits = {'TC':'Temperatura','Td':'Punto de Rocio',
'PresC':'Presión','WSC':'Vel. Viento',
'WDC':'Dirección del Viento','PrecC':'Precipitación',
'RSC':r'Radiación Solar','HRC':'Hum. Rel.'}
self.LabelsColors = {'TC':'r','Td':'r',
'PresC':'k','WSC':'k',
'WDC':'k','PrecC':'b',
'RSC':'y','HRC':'g'}
# -------------------------
# Get Stations
# -------------------------
if Var == None:
Var = utl.GetFolders(Var)
elif isinstance(Var,str):
Var = [Var]
# Stations
self.Stations = Stations
self.Arch = dict()
for V in Var:
self.Arch[V] = gl.glob(PathData+Stations+'/'+V+'/*.csv')
if len(self.Arch[V]) == 0:
print('In Station',St,'No data was found, review station')
return
def __init__(self, PathData, Stations=None):
'''
DESCRIPTION:
Class Constructor.
'''
# -------------------------
# Error Managment
# -------------------------
if not (isinstance(Stations, list)) and not (isinstance(
Stations, str)) and Stations != None:
r = utl.ShowError('OpenWundergrounds', '__init__',
'Erroneus type for Station information')
raise TypeError
# -------------------------
# Parameters
# -------------------------
self.PathData = PathData
self.deli = ',' # Delimeter
# Important Variables
# String Variables
self.LabelsStr = np.array(['Time'])
self.LabelsData = np.array([
'TemperatureC', 'DewpointC', 'PressurehPa', 'WindSpeedKMH',
'WindDirectionDegrees', 'HourlyPrecipMM',
'SolarRadiationWatts/m^2', 'Humidity'
])
self.LabDataOper = {
'TemperatureC': 'mean',
'DewpointC': 'mean',
'PressurehPa': 'mean',
'WindSpeedKMH': 'mean',
'WindDirectionDegrees': 'mean',
'HourlyPrecipMM': 'sum',
'SolarRadiationWatts/m^2': 'mean',
'Humidity': 'mean'
}
self.LabDataOper1 = {
'TemperatureC': 'mean',
'DewpointC': 'mean',
'PressurehPa': 'mean',
'WindSpeedKMH': 'mean',
'WindDirectionDegrees': 'mean',
'HourlyPrecipMM': 'sum',
'SolarRadiationWatts/m^2': 'mean',
'Humidity': 'mean'
}
self.LabDataOper2 = {
'TemperatureC': 'mean',
'DewpointC': 'mean',
'PressurehPa': 'mean',
'WindSpeedKMH': 'mean',
'WindDirectionDegrees': 'mean',
'HourlyPrecipMM': 'sum',
'SolarRadiationWatts/m^2': 'sum',
'Humidity': 'mean'
}
self.LabDataOper3 = {
'TemperatureC': 'mean',
'DewpointC': 'mean',
'PressurehPa': 'mean',
'WindSpeedKMH': 'mean',
'WindDirectionDegrees': 'mean',
'HourlyPrecipMM': 'sum',
'SolarRadiationWatts/m^2': 'mean',
'Humidity': 'mean'
}
self.LabDataSave = {
'TemperatureC': 'TC',
'DewpointC': 'Td',
'PressurehPa': 'PresC',
'WindSpeedKMH': 'WSC',
'WindDirectionDegrees': 'WDC',
'HourlyPrecipMM': 'PrecC',
'SolarRadiationWatts/m^2': 'RSC',
'Humidity': 'HRC'
}
self.ElimOver = {
'TC': None,
'Td': None,
'PresC': None,
'WSC': None,
'WDC': None,
'PrecC': None,
'RSC': None,
'HRC': None
}
self.ElimLow = {
'TC': None,
'Td': None,
'PresC': None,
'WSC': None,
'WDC': None,
'PrecC': None,
'RSC': None,
'HRC': None
}
self.LabelsWithUnits = {
'TC': 'Temperatura [°C]',
'Td': 'Punto de Rocio [°C]',
'PresC': 'Presión [hPa]',
'WSC': 'Vel. Viento [m/s]',
'WDC': 'Dirección del Viento [Grados]',
'PrecC': 'Precipitación [mm]',
'RSC': r'Radiación Solar [W/m$^2$]',
'HRC': 'Hum. Rel. [%]'
}
self.LabelsNoUnits = {
'TC': 'Temperatura',
'Td': 'Punto de Rocio',
'PresC': 'Presión',
'WSC': 'Vel. Viento',
'WDC': 'Dirección del Viento',
'PrecC': 'Precipitación',
'RSC': r'Radiación Solar',
'HRC': 'Hum. Rel.'
}
self.LabelsColors = {
'TC': 'r',
'Td': 'r',
'PresC': 'k',
'WSC': 'k',
'WDC': 'k',
'PrecC': 'b',
'RSC': 'y',
'HRC': 'g'
}
# -------------------------
# Get Stations
# -------------------------
if Stations == None:
Stations = utl.GetFolders(PathData)
elif isinstance(Stations, str):
Stations = [Stations]
# Stations
self.Stations = Stations
self.Arch = dict()
for St in Stations:
self.Arch[St] = gl.glob(PathData + St + '/*.txt')
if len(self.Arch[St]) == 0:
print('In Station', St, 'No data was found, review station')
return