Create an application that has a text field to enter a URL (default value: https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv). The app should read the CSV file (and cache it) from the URL and display a DataFrame. Add controls to do the following: - Control how many rows are displayed - A checkbox to determine to randomly shuffle the DataFrame Users select one or two variables and you must determine the best way to visualize them.
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import streamlit as st
import pandas as pd
import numpy as np
import altair as alt
@st.cache_data
def load_data(url):
return pd.read_csv(url)
st.title('Penguins Data Visualizer')
url = st.text_input('Enter URL:', 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')
df = load_data(url)
rows_to_display = st.number_input('Number of rows to display:', min_value=1, max_value=len(df), value=10)
shuffle = st.checkbox('Shuffle data')
if shuffle:
df = df.sample(frac=1).reset_index(drop=True)
st.write(df.head(rows_to_display))
st.subheader('Select variables to visualize')
selected_columns = st.multiselect('Select one or two variables:', df.columns)
if len(selected_columns) == 1:
chart = alt.Chart(df).mark_bar().encode(x=selected_columns[0], y='count()')
st.altair_chart(chart, use_container_width=True)
elif len(selected_columns) == 2:
chart = alt.Chart(df).mark_circle(size=60).encode(
x=selected_columns[0],
y=selected_columns[1],
tooltip=selected_columns
).interactive()
st.altair_chart(chart, use_container_width=True)
else:
st.warning('Please select one or two variables to visualize.')
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