def plot_sat_temp(projection, temp_sparse, temp,
lons, lats, date, plot_filename):
import matplotlib.pyplot as plt
'''Plot temperature on the map'''
fig = plt.figure(1, figsize=(12, 12))
if projection == 'italy':
ax = utils.get_projection(plt, projection, regions=True,
sat=True, background=False,
coastlines=True)
else:
ax = utils.get_projection(plt, projection, regions=False,
sat=True, background=False,
coastlines=True)
utils.add_vals_on_map(ax=ax, projection=projection,
var=temp_sparse, lons=lons, lats=lats)
plt.title('Temperature live | Ultimo aggiornamento %s' % date[0])
utils.add_logo_on_map(
ax=ax, logo='meteoindiretta_logo.png', zoom=0.15, pos=(0.92, 0.1))
utils.add_logo_on_map(
ax=ax, logo='meteonetwork_logo.png', zoom=0.3, pos=(0.15, 0.05))
if projection == 'italy':
utils.add_hist_on_map(ax=ax, var=temp, label='Temperatura [C]')
else:
utils.add_hist_on_map(ax=ax, var=temp, label='Temperatura [C]', loc=2, width="25%")
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()
def plot_temperature_max(projection,
plot_type,
temp_sparse,
temp,
lons,
lats,
date,
plot_filename='output.png'):
import matplotlib.pyplot as plt
'''Plot temperature on the map'''
fig = plt.figure(1, figsize=(10, 10))
ax = utils.get_projection(plt, projection, regions=False)
utils.add_vals_on_map(ax=ax,
var=temp_sparse,
projection=projection,
lons=lons,
lats=lats)
plt.title('Temperature massime %s' % date)
utils.add_logo_on_map(ax=plt.gca(),
logo='meteoindiretta_logo.png',
zoom=0.15,
pos=(0.92, 0.1))
utils.add_logo_on_map(ax=plt.gca(),
logo='meteonetwork_logo.png',
zoom=0.3,
pos=(0.15, 0.05))
utils.add_hist_on_map(plt.gca(), temp, label='Temperatura [C]')
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()
def plot_gust(projection,
gust_sparse,
gust,
lons,
lats,
date,
plot_filename='output.png'):
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(10, 10))
ax = utils.get_projection(plt, projection, regions=False)
utils.add_vals_on_map(ax=ax,
var=gust_sparse,
projection=projection,
lons=lons,
lats=lats,
minval=0,
maxval=150,
cmap='gist_stern_r')
plt.title('Raffica massima giornaliera %s' % date)
utils.add_logo_on_map(ax=plt.gca(),
logo='meteoindiretta_logo.png',
zoom=0.15,
pos=(0.92, 0.1))
utils.add_logo_on_map(ax=plt.gca(),
logo='meteonetwork_logo.png',
zoom=0.3,
pos=(0.15, 0.05))
utils.add_hist_on_map(plt.gca(), gust, label='Raffica [kmh/h]')
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()
def plot_rain(projection,
rain_sparse,
rain,
lons,
lats,
date,
plot_filename='output.png'):
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(10, 10))
ax = utils.get_projection(plt, projection, regions=False)
utils.add_vals_on_map(ax=ax,
var=rain_sparse,
projection=projection,
lons=lons,
lats=lats,
minval=0,
maxval=150,
cmap='gist_stern_r')
plt.title('Precipitazioni live | Ultimo aggiornamento %s' % date[0])
utils.add_logo_on_map(ax=ax,
logo='meteoindiretta_logo.png',
zoom=0.15,
pos=(0.92, 0.1))
utils.add_logo_on_map(ax=ax,
logo='meteonetwork_logo.png',
zoom=0.3,
pos=(0.15, 0.05))
utils.add_hist_on_map(ax=ax, var=rain, label='Pioggia giornaliera [mm]')
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()
def plot_synoptic(projection,
u,
v,
mslp,
lons,
lats,
date,
plot_filename='output.png'):
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(10, 10))
ax = utils.get_projection(plt, projection, regions=False)
utils.add_vals_on_map(ax=ax,
var=mslp,
projection=projection,
lons=lons,
lats=lats,
minval=960,
maxval=1050,
colors=False,
fontsize=8)
utils.add_barbs_on_map(ax=ax,
projection=projection,
u=u,
v=v,
lons=lons,
lats=lats,
magnitude=True)
plt.title('Pressione e venti | Ultimo aggiornamento %s' % date[0])
utils.add_logo_on_map(ax=ax,
logo='meteoindiretta_logo.png',
zoom=0.15,
pos=(0.92, 0.1))
utils.add_logo_on_map(ax=ax,
logo='meteonetwork_logo.png',
zoom=0.3,
pos=(0.15, 0.05))
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()
def plot_humidity(projection, hum_sparse, hum,
lons, lats, date, plot_filename):
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(12, 12))
ax = utils.get_projection(plt, projection, regions=False)
utils.add_vals_on_map(ax=ax, var=hum_sparse, projection=projection,
lons=lons, lats=lats, minval=0, maxval=100, cmap='jet_r')
plt.title('Umidita live | Ultimo aggiornamento %s' % date[0])
utils.add_logo_on_map(
ax=ax, logo='meteoindiretta_logo.png', zoom=0.15, pos=(0.92, 0.1))
utils.add_logo_on_map(
ax=ax, logo='meteonetwork_logo.png', zoom=0.3, pos=(0.15, 0.05))
utils.add_hist_on_map(ax=ax, var=hum, label='Umidita [%]')
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()
def plot_gust(projection, gust_sparse, gust, u, v,
lons, lats, date, plot_filename):
import matplotlib.pyplot as plt
fig = plt.figure(1, figsize=(12, 12))
ax = utils.get_projection(plt, projection, regions=False)
utils.add_vals_on_map(ax=ax, var=gust_sparse, projection=projection,
lons=lons, lats=lats, minval=0, maxval=150, cmap='gist_stern_r', fontsize=10)
utils.add_barbs_on_map(ax=ax, projection=projection, u=u, v=v,
lons=lons, lats=lats)
plt.title('Raffiche live | Ultimo aggiornamento %s' % date[0])
utils.add_logo_on_map(
ax=ax, logo='meteoindiretta_logo.png', zoom=0.15, pos=(0.92, 0.1))
utils.add_logo_on_map(
ax=ax, logo='meteonetwork_logo.png', zoom=0.3, pos=(0.15, 0.05))
utils.add_hist_on_map(ax=ax, var=gust, label='Raffica [km/h]')
plt.savefig(plot_filename, dpi=100, bbox_inches='tight')
plt.clf()