display_data.py

# Import statements
import streamlit as st
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from PIL import Image


#Title and Subheader
st.title("Life Expectancy By Country")
st.write("Life Expectancy Data of India and USA from the year 1960 till 2016.")

# Multicolumn Support (add relative path to the image)
col1, col2 = st.beta_columns(2)
IN_flag = Image.open(r"xxxxxxxxxxxxxxx")
col1.header("INDIA")
col1.image(IN_flag, use_column_width=True)

US_flag = Image.open(r"xxxxxxxxxxxxxxxx")
col2.header("USA")
col2.image(US_flag, use_column_width=True)

# reading a csv and displaying the first six rows on the screen.
df = pd.read_csv('lf.csv')
st.write(df.head())

# Display full data base on checkbox.
if st.checkbox('show full data'):
    df
    
# Display Code
st.write('Displaying Code in Streamlit app')
with st.echo():
    # square function
    def square(x):
        print(x*x)
    # cube function
    def cube(x):
        print(x*x*x)
    square(5) #output 25
    cube(5) # output 125