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import pandas as pd
import streamlit as st
@st.cache_data
def load_data():
data = {
"Animal": ["Lion", "Crocodile", "Elephant", "Giraffe", "Penguin"],
"Weight (kg)": [190, 430, 5000, 800, 4],
"Is Endangered": [True, True, True, False, False],
"Classification": ["Mammal", "Reptile", "Mammal", "Mammal", "Bird"],
"Average Lifespan (years)": [12, 70, 70, 25, 20],
"Habitat": ["Grassland", "Water", "Savannah", "Savannah", "Antarctica"],
}
df = pd.DataFrame(data)
df["Classification"] = df["Classification"].astype("category")
df["Habitat"] = df["Habitat"].astype("category")
return df
df = load_data()
st.data_editor(df, key="data_editor", num_rows="dynamic")
st.write("Here's the session state:")
st.write(st.session_state["data_editor"])
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