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import streamlit as st
from features.utils import corr_analysis
def corr_presentation(acf_array):
[acf_array_1,
df,
significant_non_zero_correlations_count] = corr_analysis(acf_array)
with st.expander('Autocorrelations:'):
st.write(acf_array_1)
with st.expander('Significant Autocorrelations:'):
st.metric(label='Total significant autocorrelations:',
value=significant_non_zero_correlations_count)
st.dataframe(df)