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 data from URL and cache it
def read_data(url):
return pd.read_csv(url)
st.title('Penguins Data Viewer')
url = st.text_input('Enter URL:',
value='https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')
# Read and cache the data
@st.cache_data
def load_data(url):
return read_data(url)
data = load_data(url)
if data is not None:
# Control for number of rows displayed
num_rows = st.slider('Select number of rows to display:', 1, min(len(data), 100), 10)
st.write(data.head(num_rows))
# Checkbox for random shuffling
shuffle = st.checkbox('Shuffle DataFrame')
if shuffle:
data = data.sample(frac=1).reset_index(drop=True)
st.write(data.head(num_rows))
# Plotting section
st.subheader('Plotting Variables')
numeric_columns = data.select_dtypes(include=['float64', 'int64']).columns.tolist()
x_var = st.selectbox('Select X variable:', numeric_columns)
y_var = st.selectbox('Select Y variable (or leave blank for none):', [''] + numeric_columns)
if y_var:
chart = alt.Chart(data).mark_point().encode(
x=x_var,
y=y_var,
tooltip=['species', x_var, y_var]
).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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