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| # Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022) | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from typing import Any | |
| import numpy as np | |
| import streamlit as st | |
| from streamlit.hello.utils import show_code | |
| def animation_demo() -> None: | |
| # 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: Any = 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") | |
| st.set_page_config(page_title="Animation Demo", page_icon="📹") | |
| st.markdown("# Animation Demo") | |
| st.sidebar.header("Animation Demo") | |
| st.write( | |
| """This app shows how you can use Streamlit to build cool animations. | |
| It displays an animated fractal based on the the Julia Set. Use the slider | |
| to tune different parameters.""" | |
| ) | |
| animation_demo() | |
| show_code(animation_demo) | |