File size: 1,182 Bytes
21d7cfa
 
 
341f5b8
 
21d7cfa
 
ddfdc54
 
 
 
 
 
b0ca261
ddfdc54
80eea30
 
ddfdc54
80eea30
 
 
341f5b8
80eea30
ddfdc54
80eea30
341f5b8
ddfdc54
21d7cfa
ddfdc54
 
ea74670
 
80eea30
 
ddfdc54
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
import streamlit as st
from utils import display_graph

st.set_page_config(layout="wide")

st.title("Graph Correlation")

if 'default' not in st.session_state:
    st.session_state.default = True

def default():
    st.session_state.default = False

with st.sidebar:

    def_csv = st.selectbox(label='Demo Datasets', options=['spotify.csv', 'heart.csv', 'titanic.csv', 'pokemon.csv'])
    def_csv = 'datasets/'+def_csv

    csv = st.file_uploader(label='or upload a CSV file to analyse')
    if csv == None:
        csv=def_csv

    corr_type = st.selectbox(label='Correlation Type', options=['kendall', 'pearson', 'spearman'], on_change=default)

    th = st.slider(label='Correlation Threshold', min_value=0., max_value=1., value=0.15, step=0.01, on_change=default)

    but = st.button("Display Correlation Graph", on_click=default)

if st.session_state.default:
    graph_html = display_graph(csv_file='datasets/spotify.csv', threshold=0.15, corr_type='kendall')
    st.components.v1.html(graph_html, width=None, height=2000)

if but:
    graph_html = display_graph(csv_file=csv, threshold=th, corr_type=corr_type)
    st.components.v1.html(graph_html, width=None, height=2000)