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‎.devcontainer/devcontainer.json

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{
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"name": "Python 3",
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// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
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"image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye",
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"customizations": {
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"codespaces": {
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"openFiles": [
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"README.md",
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"Hello.py"
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]
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},
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"vscode": {
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"settings": {},
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"extensions": [
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"ms-python.python",
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"ms-python.vscode-pylance"
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]
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}
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},
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"updateContentCommand": "[ -f packages.txt ] && sudo apt update && sudo apt upgrade -y && sudo xargs apt install -y <packages.txt; [ -f requirements.txt ] && pip3 install --user -r requirements.txt; pip3 install --user streamlit; echo '✅ Packages installed and Requirements met'",
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"postAttachCommand": {
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"server": "streamlit run Hello.py --server.enableCORS false --server.enableXsrfProtection false"
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},
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"portsAttributes": {
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"8501": {
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"label": "Application",
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"onAutoForward": "openPreview"
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}
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},
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"forwardPorts": [
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8501
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]
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}

‎.gitignore

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.streamlit/

‎Hello.py

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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import streamlit as st
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from streamlit.logger import get_logger
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LOGGER = get_logger(__name__)
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def run():
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st.set_page_config(
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page_title="Hello",
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page_icon="👋",
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)
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st.write("# Welcome to Streamlit! 👋")
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st.sidebar.success("Select a demo above.")
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st.markdown(
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"""
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Streamlit is an open-source app framework built specifically for
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Machine Learning and Data Science projects.
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**👈 Select a demo from the sidebar** to see some examples
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of what Streamlit can do!
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### Want to learn more?
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- Check out [streamlit.io](https://streamlit.io)
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- Jump into our [documentation](https://docs.streamlit.io)
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- Ask a question in our [community
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forums](https://discuss.streamlit.io)
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### See more complex demos
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- Use a neural net to [analyze the Udacity Self-driving Car Image
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Dataset](https://github.com/streamlit/demo-self-driving)
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- Explore a [New York City rideshare dataset](https://github.com/streamlit/demo-uber-nyc-pickups)
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"""
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)
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if __name__ == "__main__":
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run()

‎README.md

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# Welcome to streamlit
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This is the app you get when you run `streamlit hello`, extracted as its own app.
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Edit [Hello.py](./Hello.py) to customize this app to your heart's desire. ❤️
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Check it out on [Streamlit Community Cloud](https://st-hello-app.streamlit.app/)

‎__init__.py

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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.

‎pages/0_Animation_Demo.py

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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Any
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import numpy as np
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import streamlit as st
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from streamlit.hello.utils import show_code
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def animation_demo() -> None:
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# Interactive Streamlit elements, like these sliders, return their value.
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# This gives you an extremely simple interaction model.
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iterations = st.sidebar.slider("Level of detail", 2, 20, 10, 1)
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separation = st.sidebar.slider("Separation", 0.7, 2.0, 0.7885)
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# Non-interactive elements return a placeholder to their location
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# in the app. Here we're storing progress_bar to update it later.
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progress_bar = st.sidebar.progress(0)
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# These two elements will be filled in later, so we create a placeholder
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# for them using st.empty()
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frame_text = st.sidebar.empty()
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image = st.empty()
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m, n, s = 960, 640, 400
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x = np.linspace(-m / s, m / s, num=m).reshape((1, m))
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y = np.linspace(-n / s, n / s, num=n).reshape((n, 1))
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for frame_num, a in enumerate(np.linspace(0.0, 4 * np.pi, 100)):
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# Here were setting value for these two elements.
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progress_bar.progress(frame_num)
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frame_text.text("Frame %i/100" % (frame_num + 1))
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# Performing some fractal wizardry.
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c = separation * np.exp(1j * a)
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Z = np.tile(x, (n, 1)) + 1j * np.tile(y, (1, m))
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C = np.full((n, m), c)
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M: Any = np.full((n, m), True, dtype=bool)
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N = np.zeros((n, m))
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for i in range(iterations):
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Z[M] = Z[M] * Z[M] + C[M]
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M[np.abs(Z) > 2] = False
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N[M] = i
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# Update the image placeholder by calling the image() function on it.
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image.image(1.0 - (N / N.max()), use_column_width=True)
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# We clear elements by calling empty on them.
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progress_bar.empty()
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frame_text.empty()
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# Streamlit widgets automatically run the script from top to bottom. Since
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# this button is not connected to any other logic, it just causes a plain
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# rerun.
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st.button("Re-run")
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st.set_page_config(page_title="Animation Demo", page_icon="📹")
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st.markdown("# Animation Demo")
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st.sidebar.header("Animation Demo")
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st.write(
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"""This app shows how you can use Streamlit to build cool animations.
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It displays an animated fractal based on the the Julia Set. Use the slider
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to tune different parameters."""
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)
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animation_demo()
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show_code(animation_demo)

‎pages/1_Plotting_Demo.py

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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import time
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import numpy as np
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import streamlit as st
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from streamlit.hello.utils import show_code
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def plotting_demo():
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progress_bar = st.sidebar.progress(0)
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status_text = st.sidebar.empty()
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last_rows = np.random.randn(1, 1)
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chart = st.line_chart(last_rows)
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for i in range(1, 101):
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new_rows = last_rows[-1, :] + np.random.randn(5, 1).cumsum(axis=0)
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status_text.text("%i%% Complete" % i)
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chart.add_rows(new_rows)
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progress_bar.progress(i)
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last_rows = new_rows
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time.sleep(0.05)
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progress_bar.empty()
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# Streamlit widgets automatically run the script from top to bottom. Since
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# this button is not connected to any other logic, it just causes a plain
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# rerun.
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st.button("Re-run")
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st.set_page_config(page_title="Plotting Demo", page_icon="📈")
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st.markdown("# Plotting Demo")
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st.sidebar.header("Plotting Demo")
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st.write(
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"""This demo illustrates a combination of plotting and animation with
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Streamlit. We're generating a bunch of random numbers in a loop for around
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5 seconds. Enjoy!"""
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)
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plotting_demo()
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show_code(plotting_demo)

‎pages/2_Mapping_Demo.py

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# Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from urllib.error import URLError
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import pandas as pd
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import pydeck as pdk
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import streamlit as st
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from streamlit.hello.utils import show_code
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def mapping_demo():
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@st.cache_data
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def from_data_file(filename):
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url = (
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"https://raw.githubusercontent.com/streamlit/"
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"example-data/master/hello/v1/%s" % filename
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)
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return pd.read_json(url)
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try:
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ALL_LAYERS = {
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"Bike Rentals": pdk.Layer(
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"HexagonLayer",
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data=from_data_file("bike_rental_stats.json"),
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get_position=["lon", "lat"],
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radius=200,
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elevation_scale=4,
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elevation_range=[0, 1000],
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extruded=True,
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),
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"Bart Stop Exits": pdk.Layer(
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"ScatterplotLayer",
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data=from_data_file("bart_stop_stats.json"),
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get_position=["lon", "lat"],
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get_color=[200, 30, 0, 160],
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get_radius="[exits]",
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radius_scale=0.05,
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),
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"Bart Stop Names": pdk.Layer(
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"TextLayer",
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data=from_data_file("bart_stop_stats.json"),
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get_position=["lon", "lat"],
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get_text="name",
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get_color=[0, 0, 0, 200],
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get_size=10,
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get_alignment_baseline="'bottom'",
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),
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"Outbound Flow": pdk.Layer(
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"ArcLayer",
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data=from_data_file("bart_path_stats.json"),
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get_source_position=["lon", "lat"],
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get_target_position=["lon2", "lat2"],
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get_source_color=[200, 30, 0, 160],
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get_target_color=[200, 30, 0, 160],
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auto_highlight=True,
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width_scale=0.0001,
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get_width="outbound",
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width_min_pixels=3,
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width_max_pixels=30,
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),
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}
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st.sidebar.markdown("### Map Layers")
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selected_layers = [
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layer
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for layer_name, layer in ALL_LAYERS.items()
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if st.sidebar.checkbox(layer_name, True)
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]
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if selected_layers:
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st.pydeck_chart(
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pdk.Deck(
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map_style=None,
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initial_view_state={
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"latitude": 37.76,
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"longitude": -122.4,
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"zoom": 11,
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"pitch": 50,
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},
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layers=selected_layers,
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)
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)
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else:
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st.error("Please choose at least one layer above.")
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except URLError as e:
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st.error(
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"""
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**This demo requires internet access.**
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Connection error: %s
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"""
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% e.reason
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)
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st.set_page_config(page_title="Mapping Demo", page_icon="🌍")
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st.markdown("# Mapping Demo")
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st.sidebar.header("Mapping Demo")
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st.write(
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"""This demo shows how to use
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[`st.pydeck_chart`](https://docs.streamlit.io/library/api-reference/charts/st.pydeck_chart)
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to display geospatial data."""
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)
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mapping_demo()
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show_code(mapping_demo)

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