Spaces:
Sleeping
Sleeping
FEAT-Points Increase
#1
by
amadnaseem
- opened
- src/streamlit_app.py +26 -31
src/streamlit_app.py
CHANGED
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@@ -3,43 +3,38 @@ import numpy as np
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import pandas as pd
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import streamlit as st
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num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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indices = np.linspace(0, 1, num_points, dtype=np.float32)
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theta = 2 * np.pi * num_turns * indices
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x = indices * np.cos(theta)
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y = indices * np.sin(theta)
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return pd.DataFrame({
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"x": x,
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"y": y,
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"idx": indices,
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})
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df =
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.mark_circle(size=25) # fixed size = much faster
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.encode(
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x=alt.X("x
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y=alt.Y("y
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color=alt.Color(
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scale=alt.Scale(scheme="turbo") # faster & nicer
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),
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)
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)
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st.altair_chart(chart, use_container_width=True)
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import pandas as pd
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import streamlit as st
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"""
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# Welcome to Streamlit!
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Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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In the meantime, below is an example of what you can do with just a few lines of code:
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"""
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num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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indices = np.linspace(0, 1, num_points)
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theta = 2 * np.pi * num_turns * indices
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radius = indices
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x = radius * np.cos(theta)
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y = radius * np.sin(theta)
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df = pd.DataFrame({
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"x": x,
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"y": y,
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"idx": indices,
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"rand": np.random.randn(num_points),
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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.mark_point(filled=True)
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.encode(
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x=alt.X("x", axis=None),
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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