station_min_max[station_index][year]['spd_min'] = min_spd
station_min_max[station_index][year]['spd_max'] = max_spd
dir_min, dir_max = np.argmin(year_spd), np.argmax(year_spd)
yr_dir_min, yr_dir_max = year_dir[dir_min], year_dir[dir_max]
station_min_max[station_index][year]['dir_at_min'] = yr_dir_min
station_min_max[station_index][year]['dir_at_max'] = yr_dir_max
try:
# A stacked histogram with normed
# (displayed in percent) results.
ax = new_axes()
ax.set_title(station_index.split(":")[-1] +
" stacked histogram with normed (displayed in %)"
"\nresults (spd in knots), All Time.")
ax.bar(all_time_dir, all_time_spd, normed=True,
opening=0.8, edgecolor='white')
set_legend(ax)
fig = plt.gcf()
fig.set_size_inches(8, 8)
fname = './images/%s.png' % station_index.split(":")[-1]
fig.savefig(fname, dpi=100)
except Exception as e:
print("Error when plotting %s" % e)
pass
except Exception as e: # Be specific here!
print("Error: %s" % e)
pass
# <codecell>
for station in st_list.keys():
if st_list[station]['hasObsData']:
df = st_list[station]['obsData']
try:
# A stacked histogram with normed (displayed in percent) results.
ax = new_axes() # Wind rose polar axes
ax.set_title("Station " + station.split(":")[-1] +
"\nstacked histogram with normed (displayed in %)")
wind_speed = df['wind_speed (m/s)'].values
wind_direction = df['wind_from_direction (degree)'].values
ax.bar(wind_direction,
wind_speed,
normed=True,
opening=0.8,
edgecolor='white')
set_legend(ax, 'Wind Speed (m/s)')
fig = plt.gcf()
fig.set_size_inches(8, 8)
fname = './images/%s.png' % station.split(":")[-1]
fig.savefig(fname, dpi=100)
except Exception as e:
print("Error when plotting %s" % e)
# <markdowncell>
# #### Define a couple plotting functions
# <codecell>
for f in filelist:
os.remove("./images/{}".format(f))
# Do work...
for station in st_list.keys():
if st_list[station]['hasObsData']:
df = st_list[station]['obsData']
try:
# A stacked histogram with normed (displayed in percent) results.
ax = new_axes() # Wind rose polar axes
ax.set_title("Station " + station.split(":")[-1] +
"\nstacked histogram with normed (displayed in %)")
wind_speed = df['wind_speed (m/s)'].values
wind_direction = df['wind_from_direction (degree)'].values
ax.bar(wind_direction, wind_speed, normed=True, opening=0.8, edgecolor='white')
set_legend(ax, 'Wind Speed (m/s)')
fig = plt.gcf()
fig.set_size_inches(8, 8)
fname = './images/%s.png' % station.split(":")[-1]
fig.savefig(fname, dpi=100)
except Exception as e:
print("Error when plotting %s" % e)
# <markdowncell>
# #### Define a couple plotting functions
# <codecell>
def plot_probability_density(annual_max, station_id):
station_min_max[station_index][year]['dir_at_min'] = yr_dir_min
station_min_max[station_index][year]['dir_at_max'] = yr_dir_max
try:
# A stacked histogram with normed
# (displayed in percent) results.
ax = new_axes()
ax.set_title(
station_index.split(":")[-1] +
" stacked histogram with normed (displayed in %)"
"\nresults (spd in knots), All Time.")
ax.bar(all_time_dir,
all_time_spd,
normed=True,
opening=0.8,
edgecolor='white')
set_legend(ax)
fig = plt.gcf()
fig.set_size_inches(8, 8)
fname = './images/%s.png' % station_index.split(":")[-1]
fig.savefig(fname, dpi=100)
except Exception as e:
print("Error when plotting %s" % e)
pass
except Exception as e: # Be specific here!
print("Error: %s" % e)
pass
# <codecell>