streamlit_sharing.py

# import libraries
import streamlit as st
import plotly.express as px
import pandas as pd


# import dataset
st.title("Plotly and Streamlit ko mila k app bnana")
df = px.data.gapminder() 
st.write(df)
# st.write(df.head())
st.write(df.columns)

# summary stat
st.write(df.describe())


# data management
year_option = df['year'].unique().tolist()
year = st.selectbox("which year should we plot?", year_option, 0)
# df = df[df['year']== year]

# plotting

fig = px.scatter(df, x= 'gdpPercap', y ='lifeExp', size='pop', color='continent', hover_name='continent',
                log_x=True, size_max=55, range_x=[100,100000], range_y=[20,90],
                animation_frame='year', animation_group='country')
                

fig.update_layout(width=800, height=600)

st.write(fig)