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
@st.cache_data
def load_data(url):
return pd.read_csv(url)
# Default URL
url = st.text_input('Enter CSV URL:', 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')
df = load_data(url)
# Control for number of rows to display
num_rows = st.slider('Select number of rows to display:', 1, len(df), 10)
shuffler = st.checkbox('Randomly shuffle the DataFrame')
if shuffler:
df = df.sample(frac=1).reset_index(drop=True)
st.write(df.head(num_rows))
# Select variables for visualization
variables = df.columns.tolist()
var1 = st.selectbox('Select first variable:', variables)
var2 = st.selectbox('Select second variable (or None):', ['None'] + variables)
if var2 == 'None':
# Visualizing a single variable
st.bar_chart(df[var1].value_counts())
else:
# Visualizing two variables
chart_data = df.groupby([var1, var2]).size().unstack().fillna(0)
st.bar_chart(chart_data)Hi! I can help you with any questions about Streamlit and Python. What would you like to know?