Create an 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 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 numpy as np
import altair as alt
@st.cache_data()
def load_data(url):
return pd.read_csv(url)
st.title('Penguins Dataset Viewer')
# URL input
url = st.text_input('Enter CSV URL:', 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')
# Load data
try:
df = load_data(url)
except Exception as e:
st.error(f'Error loading data: {e}')
df = pd.DataFrame()
# Display DataFrame
if not df.empty:
rows_to_display = st.number_input('Select number of rows to display:', min_value=1, max_value=len(df), value=5)
shuffle_data = st.checkbox('Shuffle DataFrame', value=False)
if shuffle_data:
df = df.sample(frac=1).reset_index(drop=True)
st.write(df.head(rows_to_display))
# Variable selection
variable1 = st.selectbox('Select first variable:', df.columns)
variable2 = st.selectbox('Select second variable (optional):', ["None"] + list(df.columns))
# Visualization
if variable2 == "None":
chart = alt.Chart(df).mark_bar().encode(
x=variable1,
y='count()'
)
else:
chart = alt.Chart(df).mark_circle().encode(
x=variable1,
y=variable2,
tooltip=list(df.columns)
)
st.altair_chart(chart)
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