def main():
df = load_shapefile(
'../data/BCN_Private_communities_barrios/BCN_Private_communities_4326_SJ_barrios.shp'
)
df = clean_data(df)
barrio_ids = df[['BARRI']].squeeze().unique()
barrio_ids.sort()
for barrio_id in barrio_ids:
print("\nBARRI id: ", barrio_id)
df_barrio = df[df['BARRI'] == barrio_id]
nb_buildings = len(df_barrio.index)
print("Number of buildings: ", nb_buildings)
sum_build_consumption = df_barrio['Build_cons'].sum()
print("Total Energy Consumption: ", round(sum_build_consumption))
sum_build_co2 = df_barrio['Build_CO2'].sum()
print("Total CO2 emission: ", round(sum_build_co2))
avg_build_date = df_barrio['build_date'].apply(
lambda bdate: float(bdate)).mean()
print("Average building age: ", round(avg_build_date))
sum_build_surface = df_barrio['build_surf'].sum()
sum_build_surface = sum_build_surface * ureg['meter**2']
# print("Total building surface: ", round(sum_build_surface))
print(f'Total building surface: {sum_build_surface:~H}')
def main():
df = clean_data(
load_shapefile('../data/Buildings_SJ/BCN_Avg_Energy_4326.shp'))
drawer_map = DrawerMap(full_df=df,
color_col="en_cert",
xlim=(2.05, 2.23),
ylim=(41.313, 41.47),
bg_img='../out/background_greyscale.tif')
drawer_chart = DrawerChart(full_df=df,
xcol="build_date",
ycol="en_cert",
xlabel="Build year",
ylabel="Energy Certificate",
dot_size=0.5,
line_size=1)
drawer = Drawer(
full_df=df,
drawers=[drawer_map, drawer_chart],
time_col='en_cert',
# dpi = 600,
dpi=72,
save_dir_path='../out/building_cert/')
drawer.draw_anime(save_anim_imgs=True, show=False)
def main():
df = clean_data(
load_shapefile(
'../data/EIX_superblock_buildings_energy/EIX_superblock_buildings_energy_consumption_4326.shp'
))
drawer_map = DrawerMap(full_df=df,
color_col="build_date",
xlim=(2.13, 2.20),
ylim=(41.313, 41.47))
drawer_chart = DrawerChart(full_df=df,
xcol="build_date",
ycol="E_final",
xlabel="Build year",
ylabel="Energy (kWh/year)",
dot_size=0.5,
line_size=1)
drawer = Drawer(
full_df=df,
drawers=[drawer_map, drawer_chart],
time_col='superblock',
# dpi = 600,
dpi=72,
save_dir_path='../out/buildyear_energy/')
drawer.draw_anime(save_anim_imgs=True, show=False)
def main():
df = load_shapefile(
'../data/BCN_Private_communities/BCN_Private_communities_4326.shp')
df = clean_data(df)
cmap = plt.cm.RdYlGn.reversed()
drawer_map = DrawerMap(
full_df=df,
color_col="E_certific",
xlim=(2.05, 2.23),
# ylim=(41.313, 41.47),
bg_img='../out/background_greyscale.tif',
cmap=cmap)
drawer_stacked = DrawerStackedBar(full_df=df,
xcol='build_date_10',
group_col='E_certific',
xlabel="Build year",
ylabel="Energy Certificate",
cmap=cmap)
drawer_map.download_bg('../out/bg.tif')
exit()
drawer = Drawer(
full_df=df,
drawers=[drawer_map],
# drawers=[drawer_map, drawer_stacked],
time_col='build_date_10',
dpi=600,
# dpi=72,
save_dir_path='../out/building_cert2/map/')
# drawer.draw_anime(save_anim_imgs=True, show=False)
drawer.draw_static()
def main():
df = load_shapefile(
'../data/BCN_Private_communities_barrios/BCN_Private_communities_4326_SJ_barrios.shp'
)
df = clean_data(df)
drawer_hist = DrawerHist(full_df=df,
xcol='House_cons',
xlabel="Dwelling energy (kWh/year)",
ylabel="Density")
drawer = Drawer(
full_df=df,
drawers=[drawer_hist],
time_col='BARRI',
is_time_cumulative=False,
#time_col='build_date_10',
dpi=600,
#dpi=72,
save_dir_path='../out/building_district_consumption/')
drawer.draw_anime(save_anim_imgs=True, show=False)
def main():
df = clean_data(load_shapefile('../data/Buildings_SJ/BCN_Avg_Energy_4326.shp'))
drawer_map = DrawerMap(full_df=df,
color_col="RES_energy",
xlim=(2.05, 2.23),
ylim=(41.313, 41.47))
drawer_chart = DrawerChart(full_df=df,
xcol="build_date",
ycol="RES_energy",
xlabel="Build year",
ylabel="Energy (kWh/year)",
dot_size=0.5, line_size=1)
drawer = Drawer(full_df=df,
drawers=[drawer_map, drawer_chart],
time_col='gr_by_age',
# dpi = 600,
dpi=72,
save_dir_path='../out/building_age/')
drawer.draw_anime(save_anim_imgs=True, show=False)
def main():
df = clean_data(load_shapefile('../data/Income/BCN_City_Income.shp'))
drawer_map = DrawerMap(full_df=df,
color_col="Avg_in_hou",
xlim=(2.02, 2.26),
ylim=(41.313, 41.47))
drawer_chart = DrawerChart(
full_df=df,
xcol="Avg_in_hou",
ycol="Avg_age",
xlabel="Avg_in_hou", # "Energy (kWh/year)"
ylabel="Building age",
dot_size=1,
line_size=0)
drawer = Drawer(
full_df=df,
drawers=[drawer_map, drawer_chart],
time_col='quantile_time',
# dpi = 600,
dpi=72,
save_dir_path='../out/income/')
# drawer.draw_anime(save_anim_imgs=True)
drawer.draw_static()