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- #! /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()
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