def derive_storms(self, rainserie, column, number_of_storms=3, drywindow=96, makeplot=True):
"""
Select a number of storms out of the timeserie
"""
storms = selectstorms(self.data[column], rainserie, number_of_storms=number_of_storms, drywindow=drywindow)
if makeplot:
fig, axes = plotstorms(self.data[column], rainserie, storms, make_comparable=True, period_title=True)
return storms
def derive_storms(self, rainserie, column, number_of_storms=3,
drywindow=96, makeplot=True):
"""
Select a number of storms out of the timeserie
"""
storms = selectstorms(self.data[column], rainserie,
number_of_storms=number_of_storms,
drywindow=drywindow)
if makeplot:
fig, axes = plotstorms(self.data[column], rainserie, storms,
make_comparable=True,
period_title=True)
return storms
myflowserie.get_year('2011').get_month("Jun").get_recess().plot(figsize=(12,6))
#%%
fig, ax = plt.subplots(figsize=(13, 6))
myflowserie['LS06_347'].get_year('2010').get_month("Jul").get_highpeaks(150, above_percentile=0.9).plot(style='o', ax=ax)
myflowserie['LS06_347'].get_year('2010').get_month("Jul").plot(ax=ax)
#%%
fig, ax = plt.subplots(figsize=(13, 6))
myflowserie['LS06_347'].get_year('2010').get_month("Jul").get_lowpeaks(50, below_percentile=1.).plot(style='o', ax=ax)
myflowserie['LS06_347'].get_year('2010').get_month("Jul").plot(ax=ax)
#%% STORMS
#function can be used on pd.Series
stormfun = selectstorms(flowdata['LS06_347'], raindata['P05_039'],
number_of_storms = 3, drywindow = 96)
plotstorms(flowdata['LS06_347'], raindata['P05_039'], stormfun,
make_comparable = False,
period_title = True)
#%%implemented in the HydroAnalysis:
storms = myflowserie.derive_storms(raindata['P06_014'], 'LS06_347',
number_of_storms=3, drywindow=96,
makeplot=True)
#%% READY MADE FOR UNIT TEST PURPOSES
from pandas.util.testing import assert_frame_equal
class TestGetFunctions():
def test_get_month(self):