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)