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how to use plotly in python

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Zealous Zebra answered on December 31, 2020 Popularity 10/10 Helpfulness 4/10

answer how to use plotly in python

related import plotly

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how to use plotly in python

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import plotly.graph_objects as go
fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
fig.show()

Popularity 10/10 Helpfulness 4/10 Language html

Source: plotly.com

Tags: html plotly python

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Contributed on Dec 31 2020

Zealous Zebra

0 Answers Avg Quality 2/10

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import plotly

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import plotly.express as px 
fig = px.line(df_stack, x=df_stack.loc[store]['day'],  y=df_stack.loc[store]['sale'], title=f"Store {store}")
fig.show()

Popularity 10/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: import im

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Contributed on Sep 19 2022

Graceful Goose

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plotly python

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# Pick your poison : https://plotly.com/python/plotly-express/
# All graphs are outlined with examples in the documentation with plotly express and  graph_objects
# Customize minuscule details : https://plotly.com/python/graph-objects/
# Copy-paste the codes and just change your dataset ;)

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: plotly-python pl

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Contributed on Jan 31 2023

Innocent Iguana

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

0 Answers Avg Quality 2/10

how to use plotly in python

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