Python使用Streamlit快速创建仪表盘

pip install streamlit 

import streamlit as st  
import pandas as pd  
import pandas_bokeh  
from sklearn.datasets import load_wine  
st.set_page_config(layout="wide") ## Set layout wide to cover whole page.  
## Load Data  
@st.cache_data  
def load_data():  
wine = load_wine()  
wine_df = pd.DataFrame(wine.data, columns=wine.feature_names)  
wine_df["WineType"] = [wine.target_names[t] for t in wine.target]  
return wine_df  
wine_df = load_data()  
ingredients = wine_df.drop(columns=["WineType"]).columns  
avg_wine_df = wine_df.groupby("WineType").mean().reset_index()  
## Title  
st.title("Wine Dataset :green[Analysis] :tea: :coffee: :chart: :bar_chart:")  
st.markdown(  
"Wine Analysis dashboard let us explore relationship between various **ingredients** used in creation of 3 different types of wine (*Class_0, Class_1, & Class_2*)")  
## Add Widgets  
st.sidebar.markdown("### Scatter Chart: Explore Relationship Between Ingredients :")  
x_axis = st.sidebar.selectbox("X-Axis", ingredients, )  
y_axis = st.sidebar.selectbox("Y-Axis", ingredients, index=1)  
color_encode = st.sidebar.checkbox(label="Color-Encode by WineType")  
st.sidebar.markdown("### Bar Chart: Average Ingredients Per Wine Type : ")  
bar_multiselect = st.sidebar.multiselect(label="Bar Chart Ingredients", options=ingredients,  
default=["alcohol", "malic_acid", "ash"])  
## Widgets State Change Actions & Layout Adjustments.  
container = st.container()  
chart1, chart2 = container.columns(2)  
with chart1:  
if x_axis and y_axis:  
scatter_fig = wine_df.plot_bokeh.scatter(x=x_axis, y=y_axis, category="WineType" if color_encode else None,  
xlabel=x_axis.capitalize(), ylabel=y_axis.capitalize(),  
title="{} vs {}".format(x_axis.capitalize(), y_axis.capitalize()),  
figsize=(650, 500),  
fontsize_title=25, fontsize_label=12, show_figure=False)  
st.bokeh_chart(scatter_fig, use_container_width=True)  
with chart2:  
if bar_multiselect:  
st.header("Avg Ingredients")  
st.bar_chart(avg_wine_df, x="WineType", y=bar_multiselect, height=500, use_container_width=True)