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Danish Kamal answered on May 15, 2022 Popularity 10/10 Helpfulness 2/10

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import plotly.express as px

wide_df = px.data.medals_wide()

fig = px.bar(wide_df, x="nation", y=["gold", "silver", "bronze"], title="Wide-Form Input")
fig.show()

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Source: plotly.com

Tags: graph plotly whatever

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Contributed on Oct 12 2022

Danish Kamal

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import plotly.express as px

wide_df = px.data.medals_wide()

fig = px.bar(wide_df, x="nation", y=["gold", "silver", "bronze"], title="Wide-Form Input")
fig.show()

Popularity 9/10 Helpfulness 2/10 Language whatever

Source: plotly.com

Tags: graph grap

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Contributed on Oct 12 2022

Danish Kamal

0 Answers Avg Quality 2/10

plotly graph

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import plotly.express as px

wide_df = px.data.medals_wide()

fig = px.bar(wide_df, x="nation", y=["gold", "silver", "bronze"], title="Wide-Form Input")
fig.show()

Popularity 9/10 Helpfulness 2/10 Language whatever

Source: plotly.com

Tags: graph grap

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Contributed on Oct 12 2022

Danish Kamal

0 Answers Avg Quality 2/10

plotly create plot

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# If you prefer to run the code online instead of on your computer click:
# https://github.com/Coding-with-Adam/Dash-by-Plotly#execute-code-in-browser

from dash import Dash, dcc, Output, Input  # pip install dash
import dash_bootstrap_components as dbc    # pip install dash-bootstrap-components
import plotly.express as px # used for the graphs

# incorporate data into app
df = px.data.medals_long()

# Build your components
app = Dash(__name__, external_stylesheets=[dbc.themes.SOLAR])
mytitle = dcc.Markdown(children='# Amount of medals per country')
mygraph = dcc.Graph(figure={})
dropdown = dcc.Dropdown(options=['Bar Plot', 'Scatter Plot'],
                        value='Bar Plot',  # initial value displayed when page first loads
                        clearable=False)

# Customize your own Layout
app.layout = dbc.Container([mytitle, mygraph, dropdown])

# Callback allows components to interact
@app.callback(
    Output(mygraph, component_property='figure'),
    Input(dropdown, component_property='value')
)
def update_graph(dropdown_input):  # function arguments come from the component property of the Input
    if dropdown_input == 'Bar Plot':
        fig = px.bar(data_frame=df, x="nation", y="count", color="medal")

    elif dropdown_input == 'Scatter Plot':
        fig = px.scatter(data_frame=df, x="count", y="nation", color="medal",
                         symbol="medal")

    return fig  # returned objects are assigned to the component property of the Output


# Run app
if __name__=='__main__':
    app.run_server(port=8053, debug=True)

Popularity 10/10 Helpfulness 2/10 Language python

Source: github.com

Tags: plot

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Contributed on May 15 2022

Aidoo

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