def background_thread(ds, year_ds, month_ds, timeseries_ds):
    """Plot animation, update data if play is True, otherwise stop"""
    try:
        while True:
            for year_index in np.arange(2000, 2015, 1):
                    year_ds.data["text"] = [str(year_index)]
                    for month_index in np.arange(1, 13, 1):
                        if should_play():  
                            month_ds.data["text"] = [months_str[month_index-1]]
                            image = get_slice(t, year_index, month_index)
                            date = datetime.date(year_index, month_index, 1)
                            timeseries_ds.data["x"] = [date]
                            timeseries_ds.data["y"] = [df[df.datetime == date].moving_average]
                            ds.data["image"] = [image]
                            cursession().store_objects(ds, year_ds, month_ds, timeseries_ds)
                            time.sleep(0.5)
                        time.sleep(0.5)
    except:
        logger.exception("An error occurred")
        raise
def background_thread(ds, year_ds, month_ds, timeseries_ds):
    """Plot animation, update data if play is True, otherwise stop"""
    try:
        while True:
            for year_index in np.arange(2000, 2015, 1):
                year_ds.data["text"] = [str(year_index)]
                for month_index in np.arange(1, 13, 1):
                    if should_play():
                        month_ds.data["text"] = [months_str[month_index - 1]]
                        image = get_slice(t, year_index, month_index)
                        date = datetime.date(year_index, month_index, 1)
                        timeseries_ds.data["x"] = [date]
                        timeseries_ds.data["y"] = [
                            df[df.datetime == date].moving_average
                        ]
                        ds.data["image"] = [image]
                        cursession().store_objects(ds, year_ds, month_ds,
                                                   timeseries_ds)
                        time.sleep(0.5)
                    time.sleep(0.5)
    except:
        logger.exception("An error occurred")
        raise
# Output option
output_server("climate")

# Plots
climate_map = climate_map()
timeseries = timeseries()
legend = legend()

# Create layout
map_legend = hplot(climate_map, legend)
layout = vplot(map_legend, timeseries)

# Show
show(layout)

# Select data source for climate_map
renderer = climate_map.select(dict(name="image"))
ds = renderer[0].data_source

# Create an infite loop to update image data
import time

while True:
   for year_index in np.arange(2000, 2015, 1):
        for month_index in np.arange(1, 13, 1):
            image = get_slice(t, year_index, month_index)
            ds.data["image"] = [image]
            cursession().store_objects(ds)
            time.sleep(0.2)
def update():
   for year_index in np.arange(2000, 2015, 1):
        for month_index in np.arange(1, 13, 1):
            image = get_slice(t, year_index, month_index)
            ds.data["image"] = [image]
Exemple #5
0
def update():
    for year_index in np.arange(2000, 2015, 1):
        for month_index in np.arange(1, 13, 1):
            image = get_slice(t, year_index, month_index)
            ds.data["image"] = [image]