import pandas as pd
import readata as rd
lt = rd.read_data("./csv/Lyrtet.csv")
lm = rd.read_data("./csv/Lagmut.csv")
print(lt[['COOING', 'HISS', 'FEMALE']].sum())
print(lm[['CALL_1', 'CALL_2', 'CALL_3', 'CALL_4', 'FEMALE',
'INDIVIDUALS']].sum())
'dawn': .9,
'sunrise': .5
}
contour_style={
'linestyle':':',
'width':.7,
'solid_capstyle':'round',
'solid_joinstyle':'round'
}
basedir_img='/home/plaf2000/Documenti/Lagmut_Lyrtet/Images/stations/'
data=rd.read_data("./csv/Lagmut.csv")
intervals=pd.read_csv("./csv/intervalli_registrazione_VS_TI.csv")
intervals=intervals.set_index('Data')
devices=data['DEVICE'].groupby(data['DEVICE']).groups
region={'Riederalp':'Valais','Lucomagno':'Ticino'}
gen_date_start=dt.datetime.strptime(intervals.columns[0],'%d-%m-%Y')
gen_date_end=dt.datetime.strptime(intervals.columns[-1],'%d-%m-%Y')
# Hour range in which to plot data, as datetime object
hstart_dt=gen_date_start+dt.timedelta(hours=hstart)
hend_dt=gen_date_end+dt.timedelta(hours=hend)
minstart=int(hstart*60)
'dawn': 'black',
'sunrise': 'black'
}
alpha = {'day': 1, 'twilight': 1, 'night': 1, 'dawn': .9, 'sunrise': .5}
contour_style = {
'linestyle': ':',
'width': .7,
'solid_capstyle': 'round',
'solid_joinstyle': 'round'
}
basedir_img = '/home/plaf2000/Documenti/Lagmut_Lyrtet/Images/Lyrtet/'
data = rd.read_data("./csv/Lyrtet.csv")
intervals = pd.read_csv("./csv/intervalli_registrazione_VS_TI.csv")
intervals = intervals.set_index('Data')
devices = data['DEVICE'].groupby(data['DEVICE']).groups
region = {'Riederalp': 'Valais', 'Lucomagno': 'Ticino'}
gen_date_start = dt.datetime.strptime(intervals.columns[0], '%d-%m-%Y')
gen_date_end = dt.datetime.strptime(intervals.columns[-1], '%d-%m-%Y')
# Hour range in which to plot data, as datetime object
hstart_dt = gen_date_start + dt.timedelta(hours=hstart)
hend_dt = gen_date_end + dt.timedelta(hours=hend)
minstart = int(hstart * 60)
minend = int(hend * 60)
