streamlit是一个快速开发基于python应用的数据app包，开发比较方便,同时官方也提供了
一个方便云服务
安装
python -m venv venv
source venv/bin/activate
pip install -i https://mirrors.aliyun.com/pypi/simple/ streamlit
简单应用
- 命令
streamlit
Usage: streamlit [OPTIONS] COMMAND [ARGS]
Try out a demo with:
$ streamlit hello
Or use the line below to run your own script:
$ streamlit run your_script.py
Options:
--log_level [error|warning|info|debug]
--version Show the version and exit.
--help Show this message and exit.
Commands:
activate Activate Streamlit by entering your email.
cache Manage the Streamlit cache.
config Manage Streamlit's config settings.
docs Show help in browser.
hello Runs the Hello World script.
help Print this help message.
run Run a Python script, piping stderr to Streamlit.
version Print Streamlit's version number.
- 创建应用
streamlit hello
- 运行效果
- 参考代码
import streamlit as st
import numpy as np
# Interactive Streamlit elements, like these sliders, return their value.
# This gives you an extremely simple interaction model.
iterations = st.sidebar.slider("Level of detail", 2, 20, 10, 1)
separation = st.sidebar.slider("Separation", 0.7, 2.0, 0.7885)
# Non-interactive elements return a placeholder to their location
# in the app. Here we're storing progress_bar to update it later.
progress_bar = st.sidebar.progress(0)
# These two elements will be filled in later, so we create a placeholder
# for them using st.empty()
frame_text = st.sidebar.empty()
image = st.empty()
m, n, s = 960, 640, 400
x = np.linspace(-m / s, m / s, num=m).reshape((1, m))
y = np.linspace(-n / s, n / s, num=n).reshape((n, 1))
for frame_num, a in enumerate(np.linspace(0.0, 4 * np.pi, 100)):
# Here were setting value for these two elements.
progress_bar.progress(frame_num)
frame_text.text("Frame %i/100" % (frame_num + 1))
# Performing some fractal wizardry.
c = separation * np.exp(1j * a)
Z = np.tile(x, (n, 1)) + 1j * np.tile(y, (1, m))
C = np.full((n, m), c)
M = np.full((n, m), True, dtype=bool)
N = np.zeros((n, m))
for i in range(iterations):
Z[M] = Z[M] * Z[M] + C[M]
M[np.abs(Z) > 2] = False
N[M] = i
# Update the image placeholder by calling the image() function on it.
image.image(1.0 - (N / N.max()), use_column_width=True)
# We clear elements by calling empty on them.
progress_bar.empty()
frame_text.empty()
# Streamlit widgets automatically run the script from top to bottom. Since
# this button is not connected to any other logic, it just causes a plain
# rerun.
st.button("Re-run")
- 手工运行
streamlit run app.py
参考资料
https://github.com/streamlit/streamlit
https://www.streamlit.io/sharing
https://docs.streamlit.io/
https://blog.streamlit.io/