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import streamlit as st |
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import streamlit.components.v1 as components |
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import networkx as nx |
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import matplotlib.pyplot as plt |
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from pyvis.network import Network |
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import got |
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import numpy as np |
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import pandas as pd |
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st.title('Streamlit Visualization') |
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dataframe = pd.DataFrame(np.random.randn(10, 20), |
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columns = ('col %d' % i |
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for i in range(20))) |
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st.write(dataframe) |
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st.title('Pyvis VisJS DOTlang Legend') |
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Network(notebook=True) |
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def net_repr_html(self): |
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nodes, edges, height, width, options = self.get_network_data() |
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html = self.template.render(height=height, width=width, nodes=nodes, edges=edges, options=options) |
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return html |
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Network._repr_html_ = net_repr_html |
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st.sidebar.title('Choose your favorite Graph') |
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option=st.sidebar.selectbox('select graph',('Simple','Karate', 'GOT')) |
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physics=st.sidebar.checkbox('add physics interactivity?') |
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got.simple_func(physics) |
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if option=='Simple': |
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HtmlFile = open("test.html", 'r', encoding='utf-8') |
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source_code = HtmlFile.read() |
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components.html(source_code, height = 900,width=900) |
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got.got_func(physics) |
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if option=='GOT': |
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HtmlFile = open("gameofthrones.html", 'r', encoding='utf-8') |
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source_code = HtmlFile.read() |
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components.html(source_code, height = 1200,width=1000) |
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got.karate_func(physics) |
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if option=='Karate': |
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HtmlFile = open("karate.html", 'r', encoding='utf-8') |
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source_code = HtmlFile.read() |
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components.html(source_code, height = 1200,width=1000) |
