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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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import time |
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import re |
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import graphviz as graphviz |
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import pydeck as pdk |
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from st_click_detector import click_detector |
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st.graphviz_chart(''' |
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digraph { |
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PR0001INCOME -> AbleToBuyOnlyNecessities |
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PR0001INCOME -> DifficultyBuyingNecessities |
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PR0001INCOME -> DifficultyWithMoneyManagement |
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PR0001INCOME -> LowNoIncome |
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PR0001INCOME -> UninsuredMedicalExpenses |
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} |
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''') |
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st.graphviz_chart(''' |
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digraph { |
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PR0012MENTALHEALTH -> Apprehension -> Undefined -> Fear -> Anxious |
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PR0012MENTALHEALTH -> Attempts -> Suicide -> Homicide |
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PR0012MENTALHEALTH -> Difficulty -> Managing -> Anger |
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PR0012MENTALHEALTH -> Difficulty -> Managing -> Stress |
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PR0012MENTALHEALTH -> Expresses -> Suicidal -> Homicidal -> Thoughts |
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PR0012MENTALHEALTH -> False -> Beliefs -> Delusions |
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PR0012MENTALHEALTH -> False -> Perceptions -> Hallucinations -> Illusions |
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PR0012MENTALHEALTH -> FlatAffect -> LackofEmotion |
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PR0012MENTALHEALTH -> Irritable -> Agitated -> Aggressive |
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PR0012MENTALHEALTH -> LossofInterest -> Involvementin -> ActivitiesSelfCare |
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PR0012MENTALHEALTH -> MoodSwings |
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PR0012MENTALHEALTH -> Narrowedto -> Scattered -> Attention -> Focus |
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PR0012MENTALHEALTH -> Purposeless -> Compulsive -> RepetitiveActivity |
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PR0012MENTALHEALTH -> Sadness -> Hopelessness -> Decreased -> SelfEsteem |
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PR0012MENTALHEALTH -> Somatic -> Complaints -> Fatigue |
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} |
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''') |
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df = pd.read_csv("testfile.csv") |
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@st.cache |
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def convert_df(df): |
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return df.to_csv().encode('utf-8') |
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csv = convert_df(df) |
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st.download_button( |
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"Press to Download", |
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csv, |
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"testfile.csv", |
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"text/csv", |
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key='download-csv' |
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) |
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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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dataframe = pd.DataFrame(np.random.randn(10, 5), |
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columns = ('col %d' % i |
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for i in range(5))) |
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dataframe |
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st.write('This is a line_chart.') |
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st.line_chart(dataframe) |
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st.write('This is a area_chart.') |
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st.area_chart(dataframe) |
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st.write('This is a bar_chart.') |
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st.bar_chart(dataframe) |
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st.write('Map data') |
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data_of_map = pd.DataFrame( |
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np.random.randn(1000, 2) / [60, 60] + [36.66, -121.6], |
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columns = ['latitude', 'longitude']) |
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st.map(data_of_map) |
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image = Image.open('picture.jpg') |
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st.image(image, caption = 'This is a picture', use_column_width = True) |
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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) |
