import dash_table
import dash_html_components as html
import dash_core_components as dcc
from make_figures import make_map, make_timeplot, FIRST_LINE_HEIGHT
from data_input import tidy_most_recent, get_all_data
if 'DEBUG' in os.environ:
debug = os.environ['DEBUG'] == 'True'
print(f"DEBUG environment variable present, DEBUG set to {debug}")
else:
print("No DEBUG environment variable: defaulting to debug mode")
debug = True
# -------- Data --------------------------
df, df_prediction = get_all_data()
df_tidy = tidy_most_recent(
df) # most recent date, tidy format (one column for countries)
df_tidy_table = df_tidy[['country_region',
'value']] # keep only two columns for Dash DataTable
# ----------- Figures ---------------------
fig1 = make_map(df_tidy)
fig2 = make_timeplot(df, df_prediction)
# ------------ Markdown text ---------------
# maybe later we can break the text in several parts
with open("text_block.md", "r") as f:
intro_md = f.read()
# -----------App definition-----------------------
app = dash.Dash(
__name__,
fig.update_layout(
showlegend=True,
annotations=[fatalities_annotation,
confirmed_annotation,
drag_handle_annotation],
xaxis_tickfont_size=LABEL_FONT_SIZE - 4,
yaxis_tickfont_size=LABEL_FONT_SIZE - 4,
yaxis_type='linear',
height=FIRST_LINE_HEIGHT,
margin=dict(t=0, b=0.02),
# The legend position + font size
# See https://plot.ly/python/legend/#style-legend
legend=dict(x=.05, y=.8, font_size=LABEL_FONT_SIZE)
)
return fig
if __name__ == '__main__':
from data_input import get_all_data, tidy_most_recent
df, df_prediction = get_all_data()
# most recent date, tidy format (one column for countries)
df_tidy = tidy_most_recent(df)
df_tidy_fatalities = tidy_most_recent(df, 'death')
fig1 = make_map(df_tidy, df_tidy_fatalities)
fig2 = make_timeplot(df, df_prediction)
y=1.05,
yanchor="top",
font_color='black',
),
],
xaxis_tickfont_size=LABEL_FONT_SIZE - 4,
yaxis_tickfont_size=LABEL_FONT_SIZE - 4,
height=FIRST_LINE_HEIGHT,
margin=dict(t=0, b=0.02),
# The legend position + font size
# See https://plot.ly/python/legend/#style-legend
legend=dict(x=.05,
y=.8,
font_size=LABEL_FONT_SIZE,
title="Active cases in"),
)
return fig
if __name__ == '__main__':
from data_input import get_all_data, tidy_most_recent
df, df_prediction = get_all_data()
# most recent date, tidy format (one column for countries)
df_tidy = tidy_most_recent(df)
df_tidy_fatalities = tidy_most_recent(df, 'death')
df_tidy_recovered = tidy_most_recent(df, 'recovered')
fig1 = make_map(df_tidy, df_tidy_fatalities, df_tidy_recovered)
fig2 = make_timeplot(df, df_prediction)
),
dict(
args=["yaxis", {'type':'linear'}],
label="lin",
method="relayout",
),
]),
pad={"r": 10, "t": 10, "b":5},
showactive=True,
x=0.05,
xanchor="left",
y=1.35,
yanchor="top",
font_color='black',
),
],
height=.9*FIRST_LINE_HEIGHT,
)
return fig
if __name__ == '__main__':
from data_input import get_all_data, tidy_most_recent
df, df_prediction = get_all_data()
df_tidy = tidy_most_recent(df)
fig1 = make_map(df_tidy)
fig2 = make_timeplot(df, df_prediction)