def update_hello(value):
if value:
df = make_country_df(value)
else:
df = make_global_df()
fig = px.line(
df,
x="date",
y=["confirmed", "deaths", "recovered"],
template="plotly_dark",
labels={
"value": "Cases",
"variable": "Condition",
"date": "Date"
},
hover_data={
"value": ":,",
"variable": False,
"date": False
},
)
fig.update_xaxes(rangeslider_visible=True)
fig["data"][0]["line"]["color"] = "#e74c3c"
fig["data"][1]["line"]["color"] = "#8e44ad"
fig["data"][2]["line"]["color"] = "#27ae60"
return fig
def update_hello(value):
if value:
df = make_country_df(value)
else:
df = make_global_df()
fig = px.line(
df,
x="date",
y=["confirmed", "deaths", "recovered"],
template="plotly_dark",
labels={
"value": "Cases",
"variable": "Condition",
"date": "Date"
},
hover_data={
"value": ":,",
"variable": False,
"date": False
},
)
fig.update_xaxes(
rangeslider_visible=True,
rangeselector=dict(buttons=list([
dict(count=1, label="1m", step="month", stepmode="backward"),
dict(count=6, label="6m", step="month", stepmode="backward"),
dict(count=1, label="YTD", step="year", stepmode="todate"),
dict(count=1, label="1y", step="year", stepmode="backward"),
dict(step="all"),
])),
)
fig["data"][0]["line"]["color"] = "#e74c3c"
fig["data"][1]["line"]["color"] = "#8e44ad"
fig["data"][2]["line"]["color"] = "#27ae60"
return fig
def update_hello(value):
if value:
df = make_country_df(value)
else:
df = make_global_df()
fig = px.line(df,
x="date",
y=["confirmed", "deaths", "recovered"],
template="plotly_dark",
labels={
"value": "Cases",
"variable": "Condition",
"value": "Date",
},
hover_data={
"value": ":,",
"variable": False,
"date": False,
})
fig.update_xaxes(rangeslider_visible=True)
fig["data"][0]["line"]["color"] = "pink"
return fig
## for only development
#if __name__ == '__main__':
# app.run_server(debug=True)
def update_line_graph(value):
if value:
df = make_country_df(value)
else:
df = make_global_df()
fig = px.line(
df,
x="index",
y=["confirmed", "deaths", "recovered"],
template="plotly_dark",
labels={
"value": "Cases",
"variable": "Condition",
"index": "Date"
},
hover_data={
"value": ":,",
"variable": False,
"index": False
},
color_discrete_map={
"confirmed": "#e74c3c",
"deaths": "#8e44ad",
"recovered": "#27ae60",
},
)
fig.update_xaxes(rangeslider_visible=True)
return fig
def update_hello(value):
if value is None:
df = make_global_df()
else:
df = make_country_df(value)
lines_graph = make_lines(df)
lines_graph.update_xaxes(rangeslider_visible=True)
lines_graph["data"][0]["line"]["color"] = "#e74c3c"
lines_graph["data"][1]["line"]["color"] = "#8e44ad"
lines_graph["data"][2]["line"]["color"] = "#27ae60"
return lines_graph
def interactive_graph(value):
if value:
df = make_country_df(value)
else:
df = make_global_df()
fig = px.line(
df,
x="date",
y=["confirmed", "deaths", "recovered"],
template="plotly_dark",
labels={
"value": "Cases",
"variable": "Condition",
"date": "Date"
},
hover_data={
"value": ":,",
"variable": False
},
)
return fig