def last_night_plot(self):
"""Dial plot displaying the weather downtime for the date preceding `self.date`.
The weather downtime is displayed as a percentage relative to the night length. In addition its absolute value
is displayed in minutes.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the weather downtime for last night.
"""
weather_downtime = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='TimeLostToProblems')
night_length = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='NightLength')
weather_downtime_percentage = 100 * weather_downtime / night_length
dial_color_func = good_mediocre_bad_color_func(good_limit=3,
bad_limit=6)
return DialPlot(values=[weather_downtime_percentage],
label_values=[0, 3, 6] +
[v for v in range(10, 101, 10)],
dial_color_func=dial_color_func,
display_values=[
'{:.1f}%'.format(weather_downtime_percentage),
'{:d}m'.format(int(weather_downtime / 60))
],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the operation efficiency for last night, i.e. for the date preceding `self.date`.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the operation efficiency for last night.
"""
obs_time = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='ObsTime')
science_time = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='ScienceTime')
operation_efficiency = self._observation_efficiency(
obs_time, science_time)
dial_color_func = good_mediocre_bad_color_func(bad_limit=80,
good_limit=90)
return DialPlot(
values=[operation_efficiency],
label_values=range(0, 151, 10),
dial_color_func=dial_color_func,
display_values=['{:.1f}%'.format(operation_efficiency)],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the weather downtime for the date preceding `self.date`.
The weather downtime is displayed as a percentage relative to the night length. In addition its absolute value
is displayed in minutes.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the weather downtime for last night.
"""
weather_downtime = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='TimeLostToProblems')
night_length = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='NightLength')
weather_downtime_percentage = 100 * weather_downtime / night_length
dial_color_func = good_mediocre_bad_color_func(good_limit=3, bad_limit=6)
return DialPlot(values=[weather_downtime_percentage],
label_values=[0, 3, 6] + [v for v in range(10, 101, 10)],
dial_color_func=dial_color_func,
display_values=['{:.1f}%'.format(weather_downtime_percentage),
'{:d}m'.format(int(weather_downtime / 60))],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the science time for the date preceding `self.date`.
The science time is displayed as a percentage relative to the night length. In addition its absolute value
is displayed in minutes.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the science time for last night.
"""
science_time = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='ScienceTime')
night_length = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='NightLength')
science_time_percentage = 100 * science_time / night_length
dial_color_func = good_mediocre_bad_color_func(good_limit=47,
bad_limit=37)
return DialPlot(
values=[science_time_percentage],
label_values=[0, 10, 20, 30, 37, 47, 60, 70, 80, 90, 100],
dial_color_func=dial_color_func,
display_values=[
'{:.1f}%'.format(science_time_percentage),
'{:d}m'.format(int(science_time / 60))
],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the engineering time for the date preceding `self.date`.
The engineering time is displayed as a percentage relative to the night length. In addition its absolute value
is displayed in minutes.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the engineering time for last night.
"""
engineering_time = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='EngineeringTime')
night_length = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='NightLength')
engineering_time_percentage = 100 * engineering_time / night_length
dial_color_func = good_mediocre_bad_color_func(good_limit=13, bad_limit=18)
return DialPlot(values=[engineering_time_percentage],
label_values=[0, 5, 13, 18] + [v for v in range(30, 101, 10)],
dial_color_func=dial_color_func,
display_values=['{:.1f}%'.format(engineering_time_percentage),
'{:d}m'.format(int(engineering_time / 60))],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the operation efficiency for last night."""
shutter_open_time = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='ShutterOpenTime')
science_time = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='ScienceTime')
shutter_open_efficiency = self._shutter_open_efficiency(
shutter_open_time, science_time)
return DialPlot(
values=[shutter_open_efficiency],
label_values=range(0, 151, 10),
dial_color_func=neutral_color_func,
display_values=[str(round(shutter_open_efficiency, 1)) + '%'])
def last_night_plot(self):
"""Dial plot displaying the operation efficiency for last night, i.e. for the date preceding `self.date`.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the operation efficiency for last night.
"""
obs_time = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='ObsTime')
science_time = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='ScienceTime')
operation_efficiency = self._observation_efficiency(obs_time, science_time)
dial_color_func = good_mediocre_bad_color_func(bad_limit=80, good_limit=90)
return DialPlot(values=[operation_efficiency],
label_values=range(0, 151, 10),
dial_color_func=dial_color_func,
display_values=['{:.1f}%'.format(operation_efficiency)],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the science time for the date preceding `self.date`.
The science time is displayed as a percentage relative to the night length. In addition its absolute value
is displayed in minutes.
Returns:
--------
app.plot.plot.DialPlot
Plot displaying the science time for last night.
"""
science_time = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='ScienceTime')
night_length = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='NightLength')
science_time_percentage = 100 * science_time / night_length
dial_color_func = good_mediocre_bad_color_func(good_limit=47, bad_limit=37)
return DialPlot(values=[science_time_percentage],
label_values=[0, 10, 20, 30, 37, 47, 60, 70, 80, 90, 100],
dial_color_func=dial_color_func,
display_values=['{:.1f}%'.format(science_time_percentage),
'{:d}m'.format(int(science_time / 60))],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the number of block visits for the date preceding `self.date`.
Returns:
--------
app.plot.plot.DialPlot
Plot for last night's number of block visits.
"""
block_visits = value_last_night(df=self.df, date=self.date, date_column='Date', value_column='BlockCount')
return DialPlot(values=[block_visits],
label_values=range(0, 13),
dial_color_func=lambda d: '#7f7f7f',
display_values=[str(block_visits)],
**self.kwargs)
def last_night_plot(self):
"""Dial plot displaying the number of block visits for the date preceding `self.date`.
Returns:
--------
app.plot.plot.DialPlot
Plot for last night's number of block visits.
"""
block_visits = value_last_night(df=self.df,
date=self.date,
date_column='Date',
value_column='BlockCount')
return DialPlot(values=[block_visits],
label_values=range(0, 13),
dial_color_func=lambda d: '#7f7f7f',
display_values=[str(block_visits)],
**self.kwargs)