def show_load_profile(self, window):
""" Build & display the load profile graphic """
elp = self.get_load_profile()
dmd_hrs = len(elp.loc[elp['Total'] > 0])
if dmd_hrs > 0:
pls = 'Peak Hourly Load KW: Total= {0:4.2f},\tAC= {1:4.2f},\tDC= {2:4.2f}'
pl = pls.format(
max(elp['Total']) / 1000, (max(elp['AC'])) / 1000,
(max(elp['DC'])) / 1000)
tdls = 'Daily Load KW: Total= {0:4.2f},\tAC= {1:4.2f},\tDC= {2:4.2f}'
tdl = tdls.format(
sum(elp['Total']) / 1000,
sum(elp['AC']) / 1000,
sum(elp['DC']) / 1000)
avhs = 'Avg Hourly Load KW: Total= {0:4.2f},\tAC= {1:4.2f},\tDC= {2:4.2f}'
avhl = avhs.format(
sum(elp['Total']) / (1000 * dmd_hrs),
sum(elp['AC']) / (1000 * dmd_hrs),
sum(elp['DC']) / (1000 * dmd_hrs))
pltlist = [{
'label': 'Load',
'data': np.array(elp['Total']),
'type': 'Bar',
'color': 'grey',
'width': 0.4,
'xaxis': np.array([x for x in range(24)])
}]
tbf.plot_graphic(window,
'Hour of Day',
'Watts',
np.array([x for x in range(24)]),
pltlist,
'Hourly Electrical Use Profile', (6, 4),
text_inserts=[pl, tdl, avhl])
def show_array_worst_day(self):
""" Create graphic of Solar Array Worst Day Performance """
if self.array_out is not None:
worst_day_perform = self.array_out.loc[self.array_out['DayofYear'] == self.mnthly_array_perfm[2]]
xlabels = np.arange(24)
pltslist = [{'label': 'Array Power',
'data': worst_day_perform['ArrayPower'],
'type': 'Line', 'xaxis': xlabels,
'width': 2.0, 'color': 'b'},
{'label': 'Hourly Load',
'data': worst_day_perform['Total_Load'],
'type': 'Line', 'xaxis': xlabels ,
'width': 2.0, 'color': 'r'}]
tbf.plot_graphic(self.rdw, 'Time of Day', 'Watts', xlabels,
pltslist, 'Worst Day Array Output', (6,4))
def show_array_performance(self):
""" Create graphic of Annual Solar Array Performance """
if self.array_out is not None:
mpi = self.mnthly_array_perfm[0]
xaxis = np.arange(1,13)
pltslist = [{'label':'Avg Power', 'data':mpi.loc[:,'Avg ArrayPower'],
'type': 'Bar', 'color': 'b', 'width': 0.2, 'xaxis': xaxis},
{'label':'Best Power', 'data':mpi.loc[:,'Best ArrayPower'],
'type': 'Bar', 'color': 'g', 'width': 0.2,
'xaxis':np.arange(1,13) - 0.2},
{'label':'Worst Power', 'data':mpi.loc[:,'Worst ArrayPower'],
'type': 'Bar', 'color': 'y', 'width': 0.3,
'offset': 0.3, 'xaxis':np.arange(1,13) + 0.2},
{'label':'Daily Load', 'data':mpi.loc[:,'Daily Load'],
'type': 'Line', 'color': 'r', 'xaxis': xaxis,
'width': 4.0, 'linestyle': 'solid' }
]
tbf.plot_graphic(self.rdw, 'Month of Year', 'Watts',
np.arange(1,13),
pltslist, 'Annual Array Performance',
(6,4))
def show_bank_overview(self):
""" Create graphic of Battery Bank Overview Performance """
if self.master.power_flow is not None:
ovr = self.create_overview()
xlabels = ovr.index
pltslist = [{
'label': 'Sunrise',
'data': ovr['Sunrise'],
'type': 'Line',
'xaxis': xlabels,
'width': 2.0,
'color': 'r'
}, {
'label': 'Sunset',
'data': ovr['Sunset'],
'type': 'Line',
'xaxis': xlabels,
'width': 2.0,
'color': 'b'
}]
dp = plot_graphic(self.master.rdw, 'Month', 'SOC', xlabels,
pltslist, 'Bank SOC', (6, 4))
def show_bank_soc(self):
""" Create graphic of Battery Bank SOC Performance """
if self.master.power_flow is not None:
xlabels = np.arange(24)
pltslist = [{
'label':
'Best Day SOC',
'data':
self.master.power_flow['BatSoc'].loc[
self.master.power_flow['DayofYear'] ==
self.master.mnthly_pwr_perfm[1]],
'type':
'Line',
'xaxis':
xlabels,
'width':
2.0,
'color':
'b'
}, {
'label':
'Worst Day SOC',
'data':
self.master.power_flow['BatSoc'].loc[
self.master.power_flow['DayofYear'] ==
self.master.mnthly_pwr_perfm[2]],
'type':
'Line',
'xaxis':
xlabels,
'width':
2.0,
'color':
'r'
}]
dp = plot_graphic(self.master.rdw, 'Time of Day', 'SOC', xlabels,
pltslist, 'Range of Bank SOC', (6, 4))
