def _plot_T_by_hour(self, year, month, day):
''' Plots the daily plot '''
# get the hourly data for a single day
df = extract_day_of_hourly(self.data_by_hour, year, month, day)
# format the label
label = '{:s}: {:04d}-{:02d}-{:02d}'.format(self.label, year, month, day)
# A 'simple' plot
self.daily_ax.plot('T', '-', picker=10, label=label, data=df,
**next(self.style_cycle))
# Advances a day
now = '{:04d}-{:02d}-{:02d}'.format(year, month, day)
next_day = dt.datetime.strptime(now, '%Y-%m-%d') + dt.timedelta(days=1)
df = extract_day_of_hourly(self.data_by_hour, next_day.year, next_day.month,
next_day.day)
label = next_day.strftime('{}: %Y-%m-%d'.format(self.label))
self.daily_ax.plot('T', '-', picker=10, label=label, data=df,
**next(self.style_cycle))
# Moves back a day
now = '{:04d}-{:02d}-{:02d}'.format(year, month, day)
next_day = dt.datetime.strptime(now, '%Y-%m-%d') - dt.timedelta(days=1)
df = extract_day_of_hourly(self.data_by_hour, next_day.year, next_day.month,
next_day.day)
label = next_day.strftime('{}: %Y-%m-%d'.format(self.label))
self.daily_ax.plot('T', '-', picker=10, label=label, data=df,
**next(self.style_cycle))
# update the legend
self.daily_ax.legend()
# ask the GUI to redraw the next time it can
self.daily_ax.figure.canvas.draw_idle()
def _plot_T_by_hour(self, year, month, day):
# get the hourly data for a single day
df = extract_day_of_hourly(self.data_by_hour, year, month, day)
# format the label
label = '{:s}: {:04d}-{:02d}-{:02d}'.format(self.label, year, month,
day)
# A 'simple' plot
self.daily_ax.plot('T',
'-',
picker=10,
label=label,
data=df,
**next(self.style_cycle))
# update the legend
self.daily_ax.legend()
# ask the GUI to redraw the next time it can
self.daily_ax.figure.canvas.draw_idle()
# for each hit index, print out the row
for i in event.ind:
print(self.df.iloc[i])
def remove(self):
if self.cid is not None:
self.ln.figure.canvas.mpl_disconnect(self.cid)
self.cid = None
fig, ax = plt.subplots()
ln, = ax.plot('mean', '-o', data=temperature_daily)
ax.set_xlabel('Date [UTC]')
ax.set_ylabel('Air Temperature [℃]')
ax.set_title(f'{datasource} temperature')
rp = RowPrinter(ln, temperature_daily)
one_day = extract_day_of_hourly(temperature, 2017, 10, 27)
plt.show()
# EXERCISE
# - make the print out nicer looking
# - open a new window with plot of day temperature
# - fig, ax = plt.subplots()
# - one_day = extract_day_of_hourly(temperature, 2015, 10, 18)
# - make picking add a label with `label_data`
# - use `get_gid` to filter artists instead of `is not`
# ignore picks on not-our-artist
if event.artist is not self.ln:
return
# for each hit index, print out the row
for i in event.ind:
print(self.df.iloc[i])
def remove(self):
if self.cid is not None:
self.ln.figure.canvas.mpl_disconnect(self.cid)
self.cid = None
fig, ax = plt.subplots()
ln, = ax.plot('mean', '-o', data=ornl_daily)
ax.set_xlabel('Date [UTC]')
ax.set_ylabel('Air Temperature [℃]')
ax.set_title('ORNL')
rp = RowPrinter(ln, ornl_daily)
one_day = extract_day_of_hourly(ornl, 2015, 10, 18)
plt.show()
# EXERCISE
# - make the print out nicer looking
# - make picking add a label with `label_data`
# - use `get_gid` to filter instead of `is not`
# - open a new window with plot of day temperature
# - fig, ax = plt.subplots()
# - one_day = extract_day_of_hourly(bwi, 2015, 10, 18)