def create(self, source_data_range):
logger.debug('initializing %s class',self)
self.utc = 1
logger.debug('current utc is %s',self.utc)
# data_weather = sql_con.get_data_ws()
# data_weather = sql_con.get_data_ws()
# data_weather = sql_con.get_data_ws()
self.plot_weather = plots.get_weather_plot()
self.plot_ceil = plots.get_ceil_plot()
self.plot_data_range = plots.get_date_range_plot(source_data_range)
self._id_weather = self.plot_weather._id
self._id_ceil = self.plot_ceil._id
self._id_data_range = self.plot_data_range._id
def create(self, source_data_range):
logger.debug('initializing %s class', self)
self.utc = 1
logger.debug('current utc is %s', self.utc)
# data_weather = sql_con.get_data_ws()
# data_weather = sql_con.get_data_ws()
# data_weather = sql_con.get_data_ws()
self.plot_weather = plots.get_weather_plot()
self.plot_ceil = plots.get_ceil_plot()
self.plot_data_range = plots.get_date_range_plot(source_data_range)
self._id_weather = self.plot_weather._id
self._id_ceil = self.plot_ceil._id
self._id_data_range = self.plot_data_range._id
def input_change(self, app, obj, attrname, old, new):
logger.debug('input change detected wiht atrr %s', attrname)
logger.debug('current utc is %f',self.utc)
assert isinstance(obj, ColumnDataSource)
data_frame = obj.to_df()
t_min, t_max = get_t_min_max_from_sel(data_frame, new)
t_int = get_time_int(t_max - t_min)
if self.utc == 0:
t_min -= cs.utc_shift
t_max -= cs.utc_shift
new_plot_weather = plots.get_weather_plot(t_int, t_min, t_max)
plot_weather = find_plot(app, self._id_weather)
plot_weather.select(ColumnDataSource)[0].data = new_plot_weather.select(ColumnDataSource)[0].data
plots.update_y_ranges(
cs.column_names_weewx,
new_plot_weather.select(ColumnDataSource)[0].to_df(),
plot_weather
)
plot_weather.title = new_plot_weather.title
new_plot_ceil = plots.get_ceil_plot(t_int, t_min, t_max)
plot_ceil = find_plot(app, self._id_ceil)
plot_ceil.select(ColumnDataSource)[0].data = new_plot_ceil.select(ColumnDataSource)[0].data
plot_ceil.title = new_plot_ceil.title
plot_weather.x_range.start = new_plot_weather.x_range.start
plot_weather.x_range.end = new_plot_weather.x_range.end
old_utc = self.utc
self.utc = 1 # retrieval of data is always in utc
self.shift_time(app, old_utc, change_data_range=False)
def input_change(self, app, obj, attrname, old, new):
logger.debug('input change detected wiht atrr %s', attrname)
logger.debug('current utc is %f', self.utc)
assert isinstance(obj, ColumnDataSource)
data_frame = obj.to_df()
t_min, t_max = get_t_min_max_from_sel(data_frame, new)
t_int = get_time_int(t_max - t_min)
if self.utc == 0:
t_min -= cs.utc_shift
t_max -= cs.utc_shift
new_plot_weather = plots.get_weather_plot(t_int, t_min, t_max)
plot_weather = find_plot(app, self._id_weather)
plot_weather.select(ColumnDataSource)[
0].data = new_plot_weather.select(ColumnDataSource)[0].data
plots.update_y_ranges(
cs.column_names_weewx,
new_plot_weather.select(ColumnDataSource)[0].to_df(), plot_weather)
plot_weather.title = new_plot_weather.title
new_plot_ceil = plots.get_ceil_plot(t_int, t_min, t_max)
plot_ceil = find_plot(app, self._id_ceil)
plot_ceil.select(ColumnDataSource)[0].data = new_plot_ceil.select(
ColumnDataSource)[0].data
plot_ceil.title = new_plot_ceil.title
plot_weather.x_range.start = new_plot_weather.x_range.start
plot_weather.x_range.end = new_plot_weather.x_range.end
old_utc = self.utc
self.utc = 1 # retrieval of data is always in utc
self.shift_time(app, old_utc, change_data_range=False)
from bokeh.browserlib import view
from bokeh.document import Document
from bokeh.embed import file_html
from bokeh.resources import INLINE
from ceil_bokeh import sql_con, plots
border_left = 150
time_int = 3600
data_weather = sql_con.get_data_ws(time_int=time_int)
plot_weather = plots.get_weather_plot(data_weather, border_left=border_left)
data_ceil = sql_con.get_data_bs(time_int=time_int)
plot_ceil = plots.get_ceil_plot(data_ceil, time_int=time_int, border_left=border_left)
# link x_range both plots
plot_weather.x_range = plot_ceil.x_range
doc = Document()
doc.add(plot_weather)
doc.add(plot_ceil)
if __name__ == "__main__":
filename = "twin_axis.html"
with open(filename, "w") as f:
f.write(file_html(doc, INLINE, "Twin Axis Plot"))
print("Wrote %s" % filename)
view(filename)
from bokeh.document import Document
from bokeh.embed import file_html
from bokeh.resources import INLINE
from ceil_bokeh import sql_con, plots
border_left = 150
time_int = 3600
data_weather = sql_con.get_data_ws(time_int=time_int)
plot_weather = plots.get_weather_plot(data_weather, border_left=border_left)
data_ceil = sql_con.get_data_bs(time_int=time_int)
plot_ceil = plots.get_ceil_plot(data_ceil,
time_int=time_int,
border_left=border_left)
# link x_range both plots
plot_weather.x_range = plot_ceil.x_range
doc = Document()
doc.add(plot_weather)
doc.add(plot_ceil)
if __name__ == "__main__":
filename = "twin_axis.html"
with open(filename, "w") as f:
f.write(file_html(doc, INLINE, "Twin Axis Plot"))
print("Wrote %s" % filename)
view(filename)