def Site_Week_Summary(site_name, species):
df = LoadData.get_recent_site_data(site_name, species, days_ago=7)
plot = [
go.Scatter(x=df.index,
y=df.Concentration.values,
mode='lines',
name=species)
]
plot_title = '%s at %s between %s and %s' % (
species, site_name, df.index[0].date(), df.index[-1].date())
# Find the unit for the species
unit = LoadData.Get_Unit('AURN', species)
ytitle = '%s (%s)' % (species, unit)
layout = go.Layout(
title=plot_title,
xaxis=dict(title='Date'),
yaxis=dict(title=ytitle),
images=[
dict(source="assets/UoE_Geosciences_2_colour.jpg",
xref="paper",
yref="paper",
x=.6,
y=0.95,
sizex=0.25,
sizey=0.25,
xanchor="right",
yanchor="bottom"),
dict(source="assets/ukri-nerc-logo-600x160.png",
xref="paper",
yref="paper",
x=0.83,
y=0.95,
sizex=0.2,
sizey=0.2,
xanchor="right",
yanchor="bottom"),
dict(source="assets/DEFRA-logo.png",
xref="paper",
yref="paper",
x=1,
y=0.95,
sizex=0.13,
sizey=0.13,
xanchor="right",
yanchor="bottom"),
],
)
plot = dcc.Graph(id='map_site_timeseries',
figure={
'data': plot,
'layout': layout
})
return plot
def main_site_map(environment, region, species):
mapbox_access_token = 'pk.eyJ1IjoiZG91Z2ZpbmNoIiwiYSI6ImNqZHhjYnpqeDBteDAyd3FsZXM4ZGdqdTAifQ.xLS22vmqzVYR0SAEDWdLpQ'
# site_df = LoadData.get_all_site_info(environment, region)
# random_sizes = np.random.randint(20, size = len(site_df))
# For the time being lets just set variable and time
date = datetime(2017, 12, 14, 12)
variable = species
vals_df = LoadData.all_sites_one_var_data(date, variable, region,
environment)
unit = LoadData.Get_Unit('AURN', species)
size_scale = 1
variable_vals = vals_df.value * size_scale
hover_text = [
'%s: %.3f %s' % (vals_df.index.tolist()[x], variable_vals[x], unit)
for x in range(len(variable_vals))
]
data = [
go.Scattermapbox(
lat=vals_df.latitude.tolist(),
lon=vals_df.longitude.tolist(),
mode='markers',
# customdata = final_df.index.tolist(),
marker=go.scattermapbox.Marker(
color=variable_vals.tolist(),
colorscale='Viridis',
showscale=True,
size=14,
colorbar=dict(title=species + ' ' + unit, titleside='right'),
# opacity = 0.85,
# color = chosen_hour,
# cmax = last_day.max(axis = 1).max(),
# colorbar = {'title':var_choice}
),
text=hover_text,
)
]
layout = go.Layout(
showlegend=False,
autosize=True,
# showlegend = True,
height=750,
hovermode='closest',
margin={
'l': 0.2,
'r': 0.2,
't': 0.2,
'b': 0.2
},
mapbox=dict(accesstoken=mapbox_access_token,
bearing=0,
center=dict(lat=55, lon=-3.2),
pitch=0,
zoom=4.5),
)
fig = dict(data=data, layout=layout)
return len(vals_df), fig