CarForumPoster fucked around with this message at 13:35 on Jul 16, 2020

CarForumPoster fucked around with this message at 13:49 on Jul 16, 2020

# file 1 - Procfile: This is your server spec.
web: gunicorn app:server

# file 2 - requirements.txt: This is your list of stuff to have heroku pip install
dash_bootstrap_compoents
pandas #probably

# file 3 - app.py: This is your actual code. Below is all you need to have pretty bootstrap stuff available on a bare bones site.
import dash
import dash_bootstrap_components as dbc

app = dash.Dash(
    external_stylesheets=[dbc.themes.BOOTSTRAP]
)

app.layout = dbc.Alert(
    "Hello, Bootstrap!" className="m-5"
)

if __name__ == "__main__":
    app.run_server()

CarForumPoster fucked around with this message at 14:20 on Jul 18, 2020

conn = sqlite3.connect(database_path)
df = pd.read_sql("SELECT * FROM %s" % table_name, conn)

requests.post(
        "https://api.mailgun.net/v3/samples.mailgun.org/messages",
        auth=("api", "key-3ax6xnjp"),
        data={"from": "Excited User <excited@samples.mailgun.org>",
            "to": ["devs@mailgun.net"],
            "subject": "Hello",
            "text": "Testing some Mailgun awesomeness!"})

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CarForumPoster fucked around with this message at 14:30 on Jun 23, 2021

### This code renders a scatter plot using a callback loading data first from a dataframe then, after a button is pressed, from an API. 

# Your imports and stuff
import dash
import dash_html_components as html
import dash_core_components as dcc
import pandas as pd
import plotly.express as px
import requests

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

### Higher up you have a graph with some ID and a button
app.layout = html.Div([
    html.Button('Submit', id='btn-id-name', n_clicks=0),
    dcc.Graph(figure=None, id="graph-figure") 
    # IDK if you can actually make this None or if it needs some init.
    # Either way in the callback I say to get it some init data if the button hasn't been pressed yet.
])


# Down lower youll have your callback.
@app.callback(Output('graph-figure', 'figure'),
              [Input('btn-id-name', 'n_clicks')])
def some_func_name(n_clicks):
    if n_clicks: # If you've clicked the button. 
        headers = {
            "Content-Type": "application/json",
        }
        response = requests.get(
            f'https://api.dickbutt.com/api/v1/?param=bad_posting',
            auth="ABC123", headers=headers)

        # Do some stuff to the response here, make your fig
        new_fig = px.scatter(
            pd.DataFrame(response.json()),
            x="sepal_width",
            y="sepal_length"
        )
        return new_fig
    else: # If you have NOT clicked the button. 
        # Read in some initial data set if you want some starter thing. All callbacks are executed at runtime.
        df = pd.read_csv("init_data.csv")
        # Make some initial figure
        fig = px.scatter(df, x="sepal_width", y="sepal_length")
        return fig
    

if __name__ == '__main__':
    app.run_server(debug=True)

CarForumPoster fucked around with this message at 22:41 on Jun 23, 2021

### This code renders a scatter plot w/animation using a callback loading data from a dataframe

# Your imports and stuff
import dash
import dash_html_components as html
import dash_core_components as dcc
import pandas as pd
import plotly.express as px
import requests
from dash.dependencies import Input, Output, State

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

### Higher up you have a graph with some ID and a button. This is kinda like your HTML template.

app.layout = html.Div([
    html.Button('Submit', id='btn-id-name', n_clicks=0),
    dcc.Graph(figure={}, id="graph-figure")
])


# Down lower youll have your callback. This updates your graph. 
# All callbacks are executed at runtime, thus I include an "else" for the button not being clicked
@app.callback(Output('graph-figure', 'figure'),
              [Input('btn-id-name', 'n_clicks')])
def some_func_name(n_clicks):
    if n_clicks:  # If you've clicked the button.
        # Could do a request or load a CSV here, I'm using their example data.

        df = px.data.gapminder()
        fig = px.scatter(df, x="gdpPercap", y="lifeExp",
                         animation_frame="year", animation_group="country",
                         size="pop", color="continent", hover_name="country",
                         log_x=True, size_max=55,
                         range_x=[100, 100000],
                         range_y=[25, 90])

        fig.add_layout_image(
            dict(
                source="https://i.ibb.co/cthV7vc/L7ENJGA.jpg",
                xref="paper",
                yref="paper",
                x=0,
                y=1,
                xanchor="left",
                yanchor="top",
                sizex=1,
                sizey=1,
                sizing="contain",
                opacity=1,
                layer="below")
        )
        fig.update_layout(template="plotly_white")

        return fig
    else:  # If you have NOT clicked the button.
        fig = px.scatter(pd.DataFrame([['A', 1], ['B', 2], ['C', 3]],
                                      columns=["X", "Y"]),
                         x="X",
                         y="Y")
        fig.add_layout_image(
            dict(
                source="https://i.ibb.co/cthV7vc/L7ENJGA.jpg",
                xref="paper",
                yref="paper",
                x='A',
                y=1,
                xanchor="left",
                yanchor="top",
                sizex=1,
                sizey=1,
                sizing="stretch",
                opacity=1,
                layer="below")
        )
        fig.update_layout(template="plotly_white")
        return fig

if __name__ == '__main__':
    app.run_server(debug=True)

CarForumPoster fucked around with this message at 01:44 on Jun 25, 2021

CarForumPoster fucked around with this message at 23:55 on Jul 30, 2021