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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 {
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
}
''')
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) |