王半仙的学习分享

# streamlit_app.py
import streamlit as st

st.write('Hello world!')

import streamlit as st # streamlit 库导入

st.header('st.button') # 标题文字 

if st.button('Say hello'):
     st.write('Why hello there') # 按下按钮时显示
else: 
     st.write('Goodbye') # 默认情况下显示

import numpy as np
import altair as alt
import pandas as pd
import streamlit as st

st.header('st.write')

st.write('Hello, *World!* :sunglasses:') # 输出文字

st.write(1234) # 输出数字

df = pd.DataFrame({
     'first column': [1, 2, 3, 4],
     'second column': [10, 20, 30, 40]
     })
st.write(df) # 输出表格

# 输出文字+表格
st.write('Below is a DataFrame:', df, 'Above is a dataframe.')

# 输出altair的可视化绘图
df2 = pd.DataFrame(
     np.random.randn(200, 3),
     columns=['a', 'b', 'c'])
c = alt.Chart(df2).mark_circle().encode(
     x='a', y='b', size='c', color='c', tooltip=['a', 'b', 'c'])
st.write(c)

import streamlit as st
from datetime import time, datetime

st.header('st.slider')

# 基础滑条：最小值，最大值，默认值
st.subheader('Slider')
age = st.slider('How old are you?', 0, 130, 25)
st.write("I'm ", age, 'years old') 

# 范围滑条：最小值，最大值，默认下界，默认上界
st.subheader('Range slider')
values = st.slider(
     'Select a range of values',
     0.0, 100.0, (25.0, 75.0))
st.write('Values:', values) 

# 时间范围滑条：默认时间下界，默认时间上界
st.subheader('Range time slider')
appointment = st.slider(
     "Schedule your appointment:",
     value=(time(11, 30), time(12, 45)))
st.write("You're scheduled for:", appointment)

# 日期时间滑条：允许设定一个日期时间
st.subheader('Datetime slider')
start_time = st.slider(
     "When do you start?",
     value=datetime(2020, 1, 1, 9, 30),
     format="MM/DD/YY - hh:mm")
st.write("Start time:", start_time)

import streamlit as st

st.header('st.selectbox')

option = st.selectbox(
     'What is your favorite color?',
     ('Blue', 'Red', 'Green')) # 三个选项

st.write('Your favorite color is ', option)

import streamlit as st

st.header('st.multiselect')

options = st.multiselect(
     'What are your favorite colors',
     ['Green', 'Yellow', 'Red', 'Blue'],
     ['Yellow', 'Red'])

st.write('You selected:', options)

import streamlit as st

st.header('st.checkbox')

st.write ('What would you like to order?')
icecream = st.checkbox('Ice cream')
coffee = st.checkbox('Coffee')
cola = st.checkbox('Cola')

if icecream:
     st.write("Great! Here's some more")
if coffee:
     st.write("Okay, here's some coffee")
if cola:
     st.write("Here you go")

import streamlit as st

st.header('st.latex')

st.latex(r'''
     a + ar + a r^2 + a r^3 + \cdots + a r^{n-1} =
     \sum_{k=0}^{n-1} ar^k =
     a \left(\frac{1-r^{n}}{1-r}\right)
     ''')

import streamlit as st

st.title('st.secrets')
st.write(st.secrets['message'])

import streamlit as st
import pandas as pd

st.title('st.file_uploader')

st.subheader('Input CSV')
uploaded_file = st.file_uploader("Choose a file")

if uploaded_file is not None:
  df = pd.read_csv(uploaded_file)
  st.subheader('DataFrame')
  st.write(df)
  st.subheader('Descriptive Statistics')
  st.write(df.describe())
else:
  st.info('Upload a CSV file')

import streamlit as st
import time

st.title('st.progress')

with st.expander('About this app'):
     st.write('You can now display the progress of your calculations in a Streamlit app with the `st.progress` command.')

my_bar = st.progress(0)

for percent_complete in range(100):
     time.sleep(0.05)
     my_bar.progress(percent_complete + 1)

st.balloons()