import streamlit as st import streamlit.components.v1 as components import networkx as nx import matplotlib.pyplot as plt from pyvis.network import Network import got import numpy as np import pandas as pd import time import re import graphviz as graphviz import pydeck as pdk from st_click_detector import click_detector st.graphviz_chart(''' digraph { PR0001INCOME -> AbleToBuyOnlyNecessities PR0001INCOME -> DifficultyBuyingNecessities PR0001INCOME -> DifficultyWithMoneyManagement PR0001INCOME -> LowNoIncome PR0001INCOME -> UninsuredMedicalExpenses } ''') st.graphviz_chart(''' digraph { PR0001INCOME -> Continuityof -> Care PR0001INCOME -> Durable -> Medical -> Equipment PR0001INCOME -> Finances PR0001INCOME -> LegalSystem PR0001INCOME -> Medical -> Dental -> Care PR0001INCOME -> Medication -> Coordination -> Ordering PR0001INCOME -> Other -> Community -> Resources PR0001INCOME -> SocialWork -> Counseling -> Care PR0001INCOME -> Supplies } ''') st.graphviz_chart(''' digraph { PR0012MENTALHEALTH -> Apprehension -> Undefined -> Fear -> Anxious PR0012MENTALHEALTH -> Attempts -> Suicide -> Homicide PR0012MENTALHEALTH -> Difficulty -> Managing -> Anger PR0012MENTALHEALTH -> Difficulty -> Managing -> Stress PR0012MENTALHEALTH -> Expresses -> Suicidal -> Homicidal -> Thoughts PR0012MENTALHEALTH -> False -> Beliefs -> Delusions PR0012MENTALHEALTH -> False -> Perceptions -> Hallucinations -> Illusions PR0012MENTALHEALTH -> FlatAffect -> LackofEmotion PR0012MENTALHEALTH -> Irritable -> Agitated -> Aggressive PR0012MENTALHEALTH -> LossofInterest -> Involvementin -> ActivitiesSelfCare PR0012MENTALHEALTH -> MoodSwings PR0012MENTALHEALTH -> Narrowedto -> Scattered -> Attention -> Focus PR0012MENTALHEALTH -> Purposeless -> Compulsive -> RepetitiveActivity PR0012MENTALHEALTH -> Sadness -> Hopelessness -> Decreased -> SelfEsteem PR0012MENTALHEALTH -> Somatic -> Complaints -> Fatigue } ''') st.graphviz_chart(''' digraph { PR0012MENTALHEALTH -> Anger -> Management PR0012MENTALHEALTH -> Behavioral -> Health -> Care PR0012MENTALHEALTH -> Communication PR0012MENTALHEALTH -> Continuityof -> Care PR0012MENTALHEALTH -> Coping -> Skills PR0012MENTALHEALTH -> Dietary -> Management PR0012MENTALHEALTH -> Discipline PR0012MENTALHEALTH -> EndofLife -> Care PR0012MENTALHEALTH -> Interaction PR0012MENTALHEALTH -> LegalSystem PR0012MENTALHEALTH -> Medical -> Dental -> Care PR0012MENTALHEALTH -> Medication -> ActionSideEffects PR0012MENTALHEALTH -> Medication -> Administration PR0012MENTALHEALTH -> Medication -> CoordinationOrdering PR0012MENTALHEALTH -> Nursing -> Care PR0012MENTALHEALTH -> Nutritionist -> Care PR0012MENTALHEALTH -> Other -> Community -> Resources PR0012MENTALHEALTH -> Relaxation -> Breathing -> Techniques PR0012MENTALHEALTH -> Rest -> Sleep PR0012MENTALHEALTH -> Safety PR0012MENTALHEALTH -> Screening -> Procedures PR0012MENTALHEALTH -> SignsSymptoms -> MentalEmotional PR0012MENTALHEALTH -> SignsSymptoms -> Physical PR0012MENTALHEALTH -> SocialWork -> Counseling -> Care PR0012MENTALHEALTH -> Stress -> Management PR0012MENTALHEALTH -> Support -> Group PR0012MENTALHEALTH -> Support -> System PR0012MENTALHEALTH -> Wellness } ''') st.graphviz_chart(''' digraph { PR0028RESPIRATION -> Abnormal -> BreathSoundsCrackles PR0028RESPIRATION -> Abnormal -> IrregularBreathPatterns PR0028RESPIRATION -> Abnormal -> RespiratoryLaboratoryResults PR0028RESPIRATION -> Abnormal -> Sputum PR0028RESPIRATION -> Cough PR0028RESPIRATION -> Noisy -> RespirationswheezingRalesRhonchi PR0028RESPIRATION -> Rhinorrhea -> NasalCongestion PR0028RESPIRATION -> UnabletoBreathe -> Independently } ''') st.graphviz_chart(''' digraph { PR0029CIRCULATION -> Abnormal -> BloodPressureReading PR0029CIRCULATION -> Abnormal -> CardiacLaboratoryResults PR0029CIRCULATION -> Abnormal -> Clotting PR0029CIRCULATION -> Abnormal -> HeartSoundsMurmurs PR0029CIRCULATION -> Anginal -> Pain PR0029CIRCULATION -> Cramping -> Pain -> ofExtremities PR0029CIRCULATION -> Decreased -> Pulses PR0029CIRCULATION -> Discoloration -> ofSkinCyanosis PR0029CIRCULATION -> EdemaSwelling -> inlegsarmsfeet PR0029CIRCULATION -> ExcessivelyRapid -> HeartRate PR0029CIRCULATION -> IrregularHeartRate PR0029CIRCULATION -> SyncopalEpisodes -> Fainting -> Dizziness PR0029CIRCULATION -> TemperatureChange -> inAffectedArea PR0029CIRCULATION -> Varicosities } ''') df = pd.read_csv("testfile.csv") @st.cache def convert_df(df): return df.to_csv().encode('utf-8') csv = convert_df(df) st.download_button( "Press to Download", csv, "testfile.csv", "text/csv", key='download-csv' ) st.title('Streamlit Visualization') dataframe = pd.DataFrame(np.random.randn(10, 20), columns = ('col %d' % i for i in range(20))) st.write(dataframe) dataframe = pd.DataFrame(np.random.randn(10, 5), columns = ('col %d' % i for i in range(5))) dataframe st.write('This is a line_chart.') st.line_chart(dataframe) st.write('This is a area_chart.') st.area_chart(dataframe) st.write('This is a bar_chart.') st.bar_chart(dataframe) st.write('Map data') data_of_map = pd.DataFrame( np.random.randn(1000, 2) / [60, 60] + [36.66, -121.6], columns = ['latitude', 'longitude']) st.map(data_of_map) image = Image.open('picture.jpg') st.image(image, caption = 'This is a picture', use_column_width = True) st.title('Pyvis VisJS DOTlang Legend') Network(notebook=True) # make Network show itself with repr_html def net_repr_html(self): nodes, edges, height, width, options = self.get_network_data() html = self.template.render(height=height, width=width, nodes=nodes, edges=edges, options=options) return html Network._repr_html_ = net_repr_html st.sidebar.title('Choose your favorite Graph') option=st.sidebar.selectbox('select graph',('Simple','Karate', 'GOT')) physics=st.sidebar.checkbox('add physics interactivity?') got.simple_func(physics) if option=='Simple': HtmlFile = open("test.html", 'r', encoding='utf-8') source_code = HtmlFile.read() components.html(source_code, height = 900,width=900) got.got_func(physics) if option=='GOT': HtmlFile = open("gameofthrones.html", 'r', encoding='utf-8') source_code = HtmlFile.read() components.html(source_code, height = 1200,width=1000) got.karate_func(physics) if option=='Karate': HtmlFile = open("karate.html", 'r', encoding='utf-8') source_code = HtmlFile.read() components.html(source_code, height = 1200,width=1000)