Create a Streamlit 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 The app should also allow plotting the entire CSV. 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 altair as alt
# Function to read and cache the CSV
@st.cache_data
def load_data(url):
return pd.read_csv(url)
# Default URL
url = st.text_input('Enter the CSV URL:', 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')
# Load the data
try:
data = load_data(url)
except Exception as e:
st.error(f'Error loading data: {e}')
data = pd.DataFrame()
if not data.empty:
# Controls to shuffle and display rows
shuffle_data = st.checkbox('Randomly shuffle the DataFrame')
if shuffle_data:
data = data.sample(frac=1).reset_index(drop=True)
num_rows = st.number_input('Number of rows to display:', min_value=1, max_value=len(data), value=10)
st.write(data.head(num_rows))
# Plotting variables selection
st.subheader('Plotting Variables')
variables = data.columns.tolist()
x_var = st.selectbox('Select X variable:', variables)
y_var = st.selectbox('Select Y variable (optional):', [None] + variables)
# Visualization
if y_var:
chart = alt.Chart(data).mark_circle().encode(
x=x_var,
y=y_var,
tooltip=list(variables)
).interactive()
st.altair_chart(chart, use_container_width=True)
else:
st.write('Please select both X and Y variables to visualize the data.')
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