Spaces:
Sleeping
Sleeping
Feat-Fasten the APP
#2
by
amadnaseem
- opened
- src/streamlit_app.py +31 -26
src/streamlit_app.py
CHANGED
|
@@ -3,38 +3,43 @@ import numpy as np
|
|
| 3 |
import pandas as pd
|
| 4 |
import streamlit as st
|
| 5 |
|
| 6 |
-
""
|
| 7 |
-
# Welcome to Streamlit!
|
| 8 |
|
| 9 |
-
|
| 10 |
-
If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
|
| 11 |
-
forums](https://discuss.streamlit.io).
|
| 12 |
-
|
| 13 |
-
In the meantime, below is an example of what you can do with just a few lines of code:
|
| 14 |
-
"""
|
| 15 |
|
| 16 |
num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
|
| 17 |
num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
|
| 18 |
|
| 19 |
-
indices = np.linspace(0, 1, num_points)
|
| 20 |
-
theta = 2 * np.pi * num_turns * indices
|
| 21 |
-
radius = indices
|
| 22 |
|
| 23 |
-
|
| 24 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
|
| 26 |
-
df =
|
| 27 |
-
"x": x,
|
| 28 |
-
"y": y,
|
| 29 |
-
"idx": indices,
|
| 30 |
-
"rand": np.random.randn(num_points),
|
| 31 |
-
})
|
| 32 |
|
| 33 |
-
|
| 34 |
-
.
|
|
|
|
| 35 |
.encode(
|
| 36 |
-
x=alt.X("x", axis=None),
|
| 37 |
-
y=alt.Y("y", axis=None),
|
| 38 |
-
color=alt.Color(
|
| 39 |
-
|
| 40 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
import pandas as pd
|
| 4 |
import streamlit as st
|
| 5 |
|
| 6 |
+
st.set_page_config(layout="wide")
|
|
|
|
| 7 |
|
| 8 |
+
st.title("Fast Spiral Visualization")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
|
| 10 |
num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
|
| 11 |
num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
|
| 12 |
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
+
@st.cache_data(show_spinner=False)
|
| 15 |
+
def generate_spiral(num_points, num_turns):
|
| 16 |
+
indices = np.linspace(0, 1, num_points, dtype=np.float32)
|
| 17 |
+
theta = 2 * np.pi * num_turns * indices
|
| 18 |
+
|
| 19 |
+
x = indices * np.cos(theta)
|
| 20 |
+
y = indices * np.sin(theta)
|
| 21 |
+
|
| 22 |
+
return pd.DataFrame({
|
| 23 |
+
"x": x,
|
| 24 |
+
"y": y,
|
| 25 |
+
"idx": indices,
|
| 26 |
+
})
|
| 27 |
+
|
| 28 |
|
| 29 |
+
df = generate_spiral(num_points, num_turns)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
|
| 31 |
+
chart = (
|
| 32 |
+
alt.Chart(df, height=700, width=700)
|
| 33 |
+
.mark_circle(size=25) # fixed size = much faster
|
| 34 |
.encode(
|
| 35 |
+
x=alt.X("x:Q", axis=None),
|
| 36 |
+
y=alt.Y("y:Q", axis=None),
|
| 37 |
+
color=alt.Color(
|
| 38 |
+
"idx:Q",
|
| 39 |
+
legend=None,
|
| 40 |
+
scale=alt.Scale(scheme="turbo") # faster & nicer
|
| 41 |
+
),
|
| 42 |
+
)
|
| 43 |
+
)
|
| 44 |
+
|
| 45 |
+
st.altair_chart(chart, use_container_width=True)
|