def plot(self,key,column=None,title=None):
'''Convenience plotting with Wakari'''
from webplot import p
p.use_doc('TR Plots')
p.figure()
data = self.data[key]
if isinstance(data,pd.core.series.TimeSeries):
dates = data.index.values.astype('datetime64[ms]').astype('int64')
fig = p.plot_dates(dates,data.values,title=title,width=500,height=300)
else:
dates = data.index.values.astype('datetime64[ms]').astype('int64')
fig = p.plot_dates(dates,data[column].values,title=title,width=500,height=300)
return fig
def plot(self, key, column=None, title=None):
'''Convenience plotting with Wakari'''
from webplot import p
p.use_doc('TR Plots')
p.figure()
data = self.data[key]
if isinstance(data, pd.core.series.TimeSeries):
dates = data.index.values.astype('datetime64[ms]').astype('int64')
fig = p.plot_dates(dates,
data.values,
title=title,
width=500,
height=300)
else:
dates = data.index.values.astype('datetime64[ms]').astype('int64')
fig = p.plot_dates(dates,
data[column].values,
title=title,
width=500,
height=300)
return fig
stat_1 = 'weather/gsod/2008/085750-99999-2008.op'
stat_2 = 'weather/gsod/2008/279470-99999-2008.op'
#function to
tomilli = (lambda x: int(datetime.strptime(str(x),'%Y%m%d').strftime('%s'))*1000)
adapter = weather[stat_1]
date_1 = adapter[:]['YEARMODA']
date_1 = np.array([tomilli(x) for x in adapter[:]['YEARMODA']])
temp_1 = adapter[:]['TEMP']
adapter = weather[stat_2]
date_2 = adapter[:]['YEARMODA']
date_2 = np.array([tomilli(x) for x in adapter[:]['YEARMODA']])
temp_2 = adapter[:]['TEMP']
source = p.make_source(date=date_1, temp_1=temp_1, temp_2=temp_2)
p.plot_dates('date', 'temp_1', data_source=source,width=500, height=300,title='Daily Average Temperatures STN: 085750')
p.figure()
p.plot_dates('date', 'temp_2', data_source=source,width=500, height=300,title='Daily Average Temperatures STN: 279470')
p.table(source, ['date', 'temp_1', 'temp_2'])
stat_1_1981 = 'weather/gsod/1981/085750-99999-1981.op'
adapter = weather[stat_1_1981]
temp_1_1981 = adapter[:]['TEMP']
p.figure()
p.plot_dates(date_1,temp_1,width=500, height=300,title='Daily Average Temperatures for years 2008 and 1981')
p.plot_dates(date_1,temp_1_1981,width=500, height=300)
