Plot the spread of the new coronavirus

I used Python's Plotly library. With Geojson, it is attractive to be able to easily plot as an animation on a map from a data frame. On the other hand, the problem is that it is overwhelmingly heavier than Javascript.

Github link

japan_animation_small.gif

Number of infected people by prefecture

a.PNG Number of infected people by country

aa.PNG

Number of infected people in China

Code commentary

###Data frame reading
dfs = []
for l in os.listdir("./csv_ja/"):
    if ".csv" in l:
        dfs.append(pd.read_csv("./csv_ja/" +l))
    print(l)

###json read
with open("./geo_data/jp_prefs.geojson") as f:
    geojson_japan = json.load(f)

###Creating an Animation Object
fig = px.choropleth(df_japan,
                    geojson = geojson_japan,
                    featureidkey="properties.NAME_JP",
                    locations="Province/State",
                    color="Confirmed",
                    hover_name="Province/State",
                    color_continuous_scale="PuRd",
                    projection="mercator",
                    animation_frame="date",
                    range_color=(0,df_japan[key].max()),
                    width=600, height=800)
fig.update_geos(fitbounds="locations", visible=False)
fig.update_layout(
    title="Number of people infected with new coronavirus(Prefectures)")

Secondary source

Johns Hopkins University Dashboard Johns Hopkins University Spreadsheet

Primary source

MIT (Prefecture Geojson Data) WHO NHC CDC Dingxiangyuan Ministry of Health, Labor and Welfare

The day when positive is confirmed is defined as Confirmed. The prefecture means the prefecture where you live (in the case of foreign nationality, the prefecture of the medical institution where you visited). Asymptomatic pathogen carriers are not included in infected individuals.

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