ant358

import (
	"fmt"
	"math"
)

var j int = 10

func Sqrt(x float64) float64 {
	return math.Sqrt(x)
}

ant358

import pandas as pd
# number of rows of dataframe
no_rows = len(df) 
pd.options.display.max_rows = no_rows
print(df)
# then cut and paste into a text file 
# and use find and replace to add in the comma's etc

ant358

# https://docs.python.org/3/library/inspect.html
import inspect
print(inspect.getsource(mystery_function))

ant358

# instantiate the app and set the bootstrap theme
app = JupyterDash(__name__, external_stylesheets=[dbc.themes.SOLAR])

# layout the app
app.layout = html.Div([
            html.Br(),
            # first row
            dbc.Row([
                # title left
                dbc.Col(

ant358

# the sliders
sliders = [
            # put a blank line at the top
            html.Br(),
            # slider 1
            dcc.Slider(
                    # set the scale
                    0, 25,
                    value=12.5,
                    id='indy_over_tools',

ant358

# the gauge 
gauge = [daq.Gauge(
                id='agile-gauge',
                # make a colour gradient on the scale
                color={"gradient":True,
                       "ranges":{"green":[0,33],
                       "yellow":[33,66],
                       "red":[66,100]}},
                # create a custom scale
                scale={"custom": {

ant358

# setup the proxy
JupyterDash.infer_jupyter_proxy_config()

ant358

# load python modules
import dash_daq as daq
import dash_bootstrap_components as dbc
import pandas as pd
import numpy as np
from jupyter_dash import JupyterDash
from dash import dcc, html, Input, Output

ant358

# install required modules not in Colab by default
!pip install --quiet jupyter-dash dash_daq dash-bootstrap-components

ant358

    def truncate(f, n=2):
        return math.trunc(f * 10 ** n) / 10 ** n