density_of_each_attr.py

import matplotlib.pyplot as plt
import pandas as pd
import streamlit as st
import numpy
import seaborn as sns; sns.set()
import tkinter
import base64
import warnings
warnings.filterwarnings("ignore")
import streamlit.components.v1 as components
from PIL import Image


def app():


    @st.cache(allow_output_mutation=True)
    def get_base64_of_bin_file(bin_file):
        with open(bin_file, 'rb') as f:
            data = f.read()
        return base64.b64encode(data).decode()

        # bootstrap 4 collapse example

    df = pd.read_csv("Dataset/hepatitis.csv")

    fig = plt.figure(figsize=(12, 18))
    for i in range(len(df.columns)):
        fig.add_subplot(9, 4, i + 1)
        sns.distplot(df.iloc[:, i].dropna(), rug=True, hist=True, label='UW', kde_kws={'bw': 0.1})
        plt.xlabel(df.columns[i])
    plt.tight_layout()
    plt.show()
    components.html(
        """
      <h1 style='text-align: center; color: #7b113a; font-size: 3rem'> Density of each attribute </h1>
        """
    )
    img = Image.open("images/hepatitis1.jpg")
    st.image(img, width=700, caption='hepatitis')

    st.pyplot(fig)

    st.subheader("**Living and death concentrations over some important attributes**")
    numerical_class = ['age', 'bilirubin', 'protime', 'albumin', 'alk_phosphate', 'sgot', 'class']
    pp = sns.pairplot(df[numerical_class], hue="class", palette='winter')
    st.pyplot(pp)

    col1, col2, col3 = st.beta_columns(3)

    with col1:

        st.image('images/bacteria.png', width=220)

    with col2:

        st.image('images/virus (2).png', width=220)

    with col3:

        st.image('images/bacteria.png', width=220)







    # main_bg = "back.png"
    # main_bg_ext = "back.png"

    st.markdown(
        """
        <style>
        .reportview-container {
            background: #E55D87;  /* fallback for old browsers */
background: -webkit-linear-gradient(to right, #5FC3E4, #E55D87);  /* Chrome 10-25, Safari 5.1-6 */
background: linear-gradient(to right, #5FC3E4, #E55D87); /* W3C, IE 10+/ Edge, Firefox 16+, Chrome 26+, Opera 12+, Safari 7+ */

        }
       .sidebar .sidebar-content {
            
        }
        </style>
        """,
        unsafe_allow_html=True
    )