__author__ = 'nnaemeka.okeke'

import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import pandas as pd

pd.set_option('display.width',1000)

data = pd.read_csv('E:\\path\\to\\csv\\or\\txt_file.txt')
#print(data.head()) - this would show a brief layout of the data
#print(data[1:].head()) - this would print the data without the column headers
#print(data.columns) - this would print only the column headers

trace1 = go.Scatter(x=data.ColumnZ, y=data.ColumnA, name='any name')
#You can create as many traces as you want to have graphs displayed on the dashboard.
#All you do is create seperate containers or graph objects for them.

app = dash.Dash()

app.layout = html.Div(children=[
	html.H1('Sales Funnel Report'),
	html.Div(children='''Name of Report.'''),
	dcc.Graph(
		id='exmple-graph',
		figure={'data': [trace1],
		        'layout':go.Layout(title='Desired Title', barmode='stack')
		}
	)
]

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