pip install streamlit

import streamlit as st
 
# 顯示標題和文本
st.title("歡迎使用Streamlit!")
st.write("這是一個簡單的示例應用。")
 
# 添加輸入框和按鈕
name = st.text_input("請輸入你的名字：")
if st.button("提交"):
    st.write(f"你好，{name}!")

streamlit run app.py

import streamlit as st
import matplotlib.pyplot as plt
import numpy as np
 
# 生成數(shù)據(jù)
x = np.linspace(0, 10, 100)
y = np.sin(x)
 
# 繪制圖表
fig, ax = plt.subplots()
ax.plot(x, y)
 
# 在Streamlit中顯示圖表
st.pyplot(fig)

import streamlit as st
 
# 滑塊
value = st.slider("選擇一個值：", 0, 100)
st.write(f"你選擇的值是：{value}")
 
# 多選框
options = st.multiselect("選擇喜歡的水果：", ["蘋果", "香蕉", "橙子"])
st.write(f"你選擇了：{', '.join(options)}")

import streamlit as st
import pandas as pd
 
# 文件上傳
uploaded_file = st.file_uploader("上傳一個CSV文件：", type=["csv"])
if uploaded_file is not None:
    data = pd.read_csv(uploaded_file)
    st.write("數(shù)據(jù)預覽：")
    st.dataframe(data)

import streamlit as st
from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier
 
# 加載數(shù)據(jù)和模型
iris = load_iris()
model = RandomForestClassifier()
model.fit(iris.data, iris.target)
 
# 構建預測輸入
st.title("Iris 花卉分類")
sepal_length = st.slider("花萼長度：", 4.0, 8.0)
sepal_width = st.slider("花萼寬度：", 2.0, 4.5)
petal_length = st.slider("花瓣長度：", 1.0, 7.0)
petal_width = st.slider("花瓣寬度：", 0.1, 2.5)
 
# 預測
input_data = [[sepal_length, sepal_width, petal_length, petal_width]]
prediction = model.predict(input_data)
st.write(f"預測類別：{iris.target_names[prediction[0]]}")

import streamlit as st
import time
 
@st.cache
def expensive_computation(x):
    time.sleep(5)  # 模擬耗時操作
    return x * 2
 
value = st.slider("選擇一個數(shù)值：", 1, 10)
result = expensive_computation(value)
st.write(f"結果是：{result}")

import streamlit as st
import pandas as pd
 
# 加載示例數(shù)據(jù)
data = pd.DataFrame({
    "類別": ["A", "B", "C"],
    "值": [100, 200, 300]
})
 
# 數(shù)據(jù)篩選
category = st.selectbox("選擇類別：", data["類別"])
filtered_data = data[data["類別"] == category]
 
# 顯示篩選結果
st.write(f"篩選結果：")
st.dataframe(filtered_data)

import streamlit as st
import time
 
st.title("實時儀表盤")
 
placeholder = st.empty()
for i in range(100):
    placeholder.write(f"實時更新數(shù)據(jù)：{i}")
    time.sleep(0.1)