Python make_country_df Examples

Example #1

File: main.py Project: nomadcoders/corona-dashboard

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

Example #2

File: main.py Project: zpskek/Corona-dashboard-v1

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

Example #3

File: main.py Project: kjm7978/podcast_user

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)

Example #4

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

Example #5

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

Example #6

File: main.py Project: hughqlee/coronaDash

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