#! /usr/bin/env python

import argparse
import plotly.graph_objects as go
import numpy

parser = argparse.ArgumentParser()
parser.add_argument('filename', help='Enter the sliced data filename')
args = parser.parse_args()

data = numpy.loadtxt(args.filename, delimiter="\t")
# The data is in row format
x = [i for i in range(len(data[0]))]

fig = go.Figure()

for line in data:
	fig.add_trace(go.Bar(x=x, y=[d for d in line]))

steps = []
for i in range(len(fig.data)):
	step = dict(
		method="update",
		args=[{'visible': [False] * len(fig.data)},
			{'title': "Slider switched to step: " + str(i)}],)
	step["args"][0]["visible"][i] = True
	steps.append(step)

sliders = [dict(
	active=0,
	currentvalue={"prefix": "bin box "},
	pad={"t": 50},
	steps=steps)]

fig.update_yaxes(range=[0,0.2])
fig.update_layout(
	sliders=sliders
)
fig.show()