This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
with st.echo(): | |
def on_change(): | |
st.write(f"my_selection **(1)**: `{st.session_state.my_selection}`") | |
my_selection = st.selectbox( | |
"Select something", ["a", "b"], on_change=on_change, key="my_selection" | |
) | |
st.write(f"my_selection **(2)**: `{st.session_state.my_selection}`") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
import pandas as pd | |
import numpy as np | |
n_points = 1000 | |
sf_lat, sf_lon = 37.76, -122.4 | |
map_data = pd.DataFrame({ | |
'lat': np.random.randn(n_points) / 50 + sf_lat, | |
'lon': np.random.randn(n_points) / 50 + sf_lon, | |
'colorR': np.random.uniform(size=n_points, high=255.0), |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
import pandas as pd | |
# Load some example data. | |
DATA_URL = \ | |
"http://s3-us-west-2.amazonaws.com/streamlit-demo-data/uber-raw-data-sep14.csv.gz" | |
data = st.cache(pd.read_csv)(DATA_URL, nrows=1000) | |
# Select some rows using st.multiselect. This will break down when you have >1000 rows. | |
st.write('### Full Dataset', data) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
import functools | |
def partial_cache(func=None, **cache_kwargs): | |
"""Like st.cache, but if the function returns None, then nothing is cached. | |
Parameters | |
---------- | |
func : Callable |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
import pandas as pd | |
import numpy as np | |
def display_dataframe_quickly(df, max_rows=5000, **st_dataframe_kwargs): | |
"""Display a subset of a DataFrame or Numpy Array to speed up app renders. | |
Parameters | |
---------- | |
df : DataFrame | ndarray |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
import base64 | |
import textwrap | |
def render_svg(svg): | |
"""Renders the given svg string.""" | |
b64 = base64.b64encode(svg.encode('utf-8')).decode("utf-8") | |
html = r'<img src="data:image/svg+xml;base64,%s"/>' % b64 | |
st.write(html, unsafe_allow_html=True) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
import streamlit.ReportThread as ReportThread | |
from streamlit.server.Server import Server | |
import time | |
import functools | |
import random | |
import string | |
# Copied from tvst's great gist: |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import streamlit as st | |
from io import BytesIO | |
import matplotlib.pyplot as plt | |
def render_latex(formula, fontsize=12, dpi=300): | |
"""Renders LaTeX formula into Streamlit.""" | |
fig = plt.figure() | |
text = fig.text(0, 0, '$%s$' % formula, fontsize=fontsize) | |
fig.savefig(BytesIO(), dpi=dpi) # triggers rendering |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import dash | |
import dash_core_components as dcc | |
import dash_html_components as html | |
from dash.dependencies import Input, Output | |
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] | |
app = dash.Dash(__name__, external_stylesheets=external_stylesheets) | |
app.layout = html.Div([ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import numpy as np | |
import streamlit as st | |
import time | |
fig, ax = plt.subplots() | |
max_x = 5 | |
max_rand = 10 |
NewerOlder