def location(update, context):
lat = update.message.location.latitude
lon = update.message.location.longitude
forecasts = get_forecasts(lat, lon)
context.bot.send_message(chat_id=update.effective_chat.id,
text=forecasts,
reply_markup=ReplyKeyboardRemove())
def location(bot, update):
lat = update.message.location.latitude
lon = update.message.location.longitude
forecasts = get_forecasts(lat, lon)
bot.send_message(chat_id=update.message.chat_id,
text=forecasts,
reply_markup=ReplyKeyboardRemove())
def get_forecasts_panel(
images: Icons, fonts: Fonts,
config: SectionProxy) -> tuple[Image.Image, tuple[str, str]]:
logger = logging.getLogger(__name__)
logger.info('Generating forecast panel')
icon_width = config.getint('ICON_WIDTH')
count = 7
x_size = 1872
y_size = 800
(forecasts, first_position,
first_position_name) = get_forecasts(config.get('FMI_LOCATION'), count, 6)
logger.info('Received data: %s', repr(forecasts))
dates = sorted(forecasts.keys())
image = Image.new('L', (x_size, y_size), 0xff)
draw = ImageDraw.Draw(image)
utils.draw_title(draw, fonts['font_sm'], 'FORECAST', first_position_name,
fonts['font_xxs'])
data_y_base = 100
for date, i in zip(dates, range(len(dates))):
is_daylight = get_is_daylight(first_position, date)
data = forecasts[date]
date_local = utils.utc_datetime_string_to_local_datetime(date)
date_formatted = date_local.strftime('%-H:%M')
x_step = x_size // count
x_base = x_step // 2
# Time
draw.text((x_base + i * x_step, data_y_base + 10),
date_formatted,
font=(fonts['font_sm'] if date_formatted != "15:00" else
fonts['font_sm_bold']),
fill=0,
anchor='mt')
# Weather icon
icon_position = (x_base + i * x_step -
config.getint('ICON_WIDTH') // 2, data_y_base + 80)
weather_icon = icons.get_scaled_image(
get_forecats_weather_icon(data['WeatherSymbol3'], is_daylight,
images, fonts, config), icon_width)
image.paste(weather_icon, icon_position, weather_icon)
# Warning icon
if (utils.show_temperatur_warning_icon(data["Temperature"], date_local,
config)):
warning_icon = icons.get_scaled_image(images['misc']['warning'],
50)
image.paste(warning_icon,
(icon_position[0] + weather_icon.width -
2 * warning_icon.width // 3, icon_position[1] +
weather_icon.height - 2 * warning_icon.height // 3),
warning_icon)
# Temperature
utils.draw_quantity(draw, (x_base + i * x_step, data_y_base + 350),
str(round(data["Temperature"])), '°C', fonts)
# Wind speed
utils.draw_quantity(draw, (x_base + i * x_step, data_y_base + 420),
str(round(data["WindSpeedMS"])), 'm/s', fonts)
# Cloud cover
cloud_cover_raw = data["TotalCloudCover"]
cloud_cover = math.nan if math.isnan(
cloud_cover_raw) else cloud_cover_raw / 100 * 8
cloud_cover_icon = icons.get_scaled_image(
utils.get_cloud_cover_icon(cloud_cover, images, fonts, config),
160)
image.paste(cloud_cover_icon,
(x_base + i * x_step - cloud_cover_icon.width // 2,
data_y_base + 440), cloud_cover_icon)
# Wind direction
wind_image = icons.get_scaled_image(images['misc']['wind_icon'], 160)
wind_image_rot = wind_image.rotate(-data['WindDirection'] + 180,
fillcolor=0xff,
resample=Image.BICUBIC)
image.paste(wind_image_rot,
(x_base + i * x_step - wind_image_rot.width // 2,
data_y_base + 440), wind_image_rot)
# Borders
if (config.getboolean('DRAW_PANEL_BORDERS')):
draw.polygon([(0, 0), (x_size - 1, 0), (x_size - 1, y_size - 1),
(0, y_size - 1), (0, 0)])
return (image, first_position)
Plot the forecasted temperatures of Miami in Celsius. You'll need to use the "<a href='#'>create empty list</a>" and "<a href='#'>append</a>" blocks to create a new list of Celsius temperatures from the forecasted temperatures in Blacksburg, and then plot these new temperatures against the old ones.
#####
import weather
import matplotlib.pyplot as plt
celsius_temperatures = []
for t in weather.get_forecasts("Miami, FL"):
celsius = (t - 32) / 1.8
celsius_temperatures.append(celsius)
plt.plot(celsius_temperatures)
plt.title("Temperatures in Miami")
plt.show()
#####
def on_run(code, output, properties):
return True
Print the name of the state that had the highest violent crime rate in 1995.
#####
import matplotlib.pyplot as plt
import weather
plt.plot(weather.get_forecasts("Blacksburg, VA"))
plt.show()
#####
def on_run(code, output, properties):
if 'crime.get_by_year' not in code:
return "You'll need to use the 'get by year' block!"
elif 'violent' not in code:
return "You need to get the violent crime rate."
elif 'state' not in code:
return "You also need to store the state name while you iterate!"
elif 'if' not in code:
return "You will need some decision in your code. This is similar to the problems we did before where we found the maximum."
elif output.strip() == 'District of Columbia':
return true
else:
return 'You can do it!'