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 a CSV file from a URL
@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")
try:
df = load_data(url)
st.write("### DataFrame", df)
# Control for number of rows displayed
num_rows = st.slider("Select number of rows to display:", 1, df.shape[0], 10)
st.write(df.head(num_rows))
# Checkbox for shuffling DataFrame
if st.checkbox("Shuffle the DataFrame"):
df = df.sample(frac=1).reset_index(drop=True)
st.write("### Shuffled DataFrame", df.head(num_rows))
# Selection of variables for plotting
variables = df.select_dtypes(include=['float64', 'int64']).columns.tolist()
x_var = st.selectbox("Select X-axis variable:", options=variables)
y_var = st.selectbox("Select Y-axis variable:", options=variables) if st.checkbox("Select Y-axis variable") else None
# Plotting
if y_var:
chart = alt.Chart(df).mark_circle(size=60).encode(
x=x_var,
y=y_var,
tooltip=[x_var, y_var]
).interactive()
st.altair_chart(chart, use_container_width=True)
else:
chart = alt.Chart(df).mark_bar().encode(
x=x_var,
y='count()'
).interactive()
st.altair_chart(chart, use_container_width=True)
except Exception as e:
st.error(f"Error loading data: {e}")
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