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 load data from a URL
@st.cache_data
def load_data(url):
return pd.read_csv(url)
st.title('CSV Data Viewer')
# Text input for URL
url = st.text_input('Enter CSV URL:',
value='https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')
# Load data
try:
data = load_data(url)
st.write('Data Loaded Successfully')
except Exception as e:
st.write('Error loading data:', e)
st.stop()
# Control for number of rows to display
num_rows = st.slider('Select number of rows to display:', 1, len(data), 5)
shuffled = st.checkbox('Shuffle DataFrame')
if shuffled:
data = data.sample(frac=1).reset_index(drop=True)
st.write(data.head(num_rows))
# Control for selecting variables
st.subheader('Plotting')
variables = data.columns.tolist()
selected_vars = st.multiselect('Select variables for plotting:', variables)
if len(selected_vars) == 1:
# Scatter plot for single variable
chart = alt.Chart(data).mark_bar().encode(
x=selected_vars[0],
y='count()'
)
st.altair_chart(chart, use_container_width=True)
elif len(selected_vars) == 2:
# Scatter plot for two variables
chart = alt.Chart(data).mark_circle(size=60).encode(
x=selected_vars[0],
y=selected_vars[1],
tooltip=selected_vars
)
st.altair_chart(chart, use_container_width=True)
else:
st.write('Please select one or two variables to plot.')
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