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 URL
@st.cache_data
def load_data(url):
return pd.read_csv(url)
st.title('CSV Viewer')
# Text input for URL
url = st.text_input('Enter CSV URL:', '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.error(f'Error loading data: {e}')
data = None
if data is not None:
# Control for number of rows displayed
num_rows = st.slider('Select number of rows to display:', 1, data.shape[0], 10)
st.table(data.head(num_rows))
# Checkbox to randomly shuffle the DataFrame
shuffle_data = st.checkbox('Shuffle Data')
if shuffle_data:
data = data.sample(frac=1).reset_index(drop=True)
# Select variables for plotting
all_columns = data.columns.tolist()
x_var = st.selectbox('Select X variable:', all_columns)
y_var = st.selectbox('Select Y variable (leave blank for univariate plot):', [''] + all_columns)
# Create the plot
if y_var:
chart = alt.Chart(data).mark_point().encode(
x=x_var,
y=y_var,
color='species:N'
).interactive()
st.altair_chart(chart, use_container_width=True)
else:
chart = alt.Chart(data).mark_bar().encode(
x=x_var,
y='count()'
).interactive()
st.altair_chart(chart, use_container_width=True)
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