Streamlit component for Let's-Plot visualization library

Overview

streamlit-letsplot

Streamlit App

This is a work-in-progress, providing a convenience function to plot charts from the Lets-Plot visualization library.

Example usage

import streamlit as st
from streamlit_letsplot import st_letsplot
import numpy as np
import lets_plot
from lets_plot import *

np.random.seed(12)
data = dict(
    cond=np.repeat(['A','B'], 200),
    rating=np.concatenate((np.random.normal(0, 1, 200), np.random.normal(1, 1.5, 200)))
)

a = ggplot(data, aes(x='rating', fill='cond')) + ggsize(500, 250) \
+ geom_density(color='dark_green', alpha=.7) + scale_fill_brewer(type='seq') \
+ theme(axis_line_y='blank')

# plots any Let's Plot visualization object
st_letsplot(a)

st_letsplot

You might also like...
a python function to plot a geopandas dataframe
a python function to plot a geopandas dataframe

Pretty GeoDataFrame A minimum python function (~60 lines) to draw pretty geodataframe. Based on matplotlib, shapely, descartes. Installation just use

Small project to recursively calculate and plot each successive order of the Hilbert Curve
Small project to recursively calculate and plot each successive order of the Hilbert Curve

hilbert-curve Small project to recursively calculate and plot each successive order of the Hilbert Curve. After watching 3Blue1Brown's video on Hilber

Getting started with Python, Dash and Plot.ly for the Data Dashboards team

data_dashboards Getting started with Python, Dash and Plot.ly for the Data Dashboards team Getting started MacOS users: # Install the pyenv version ma

Info for The Great DataTas plot-a-thon
Info for The Great DataTas plot-a-thon

The Great DataTas plot-a-thon Datatas is organising a Data Visualisation competition: The Great DataTas plot-a-thon We will be using Tidy Tuesday data

It's an application to calculate I from v and r. It can also plot a graph between V vs I.
It's an application to calculate I from v and r. It can also plot a graph between V vs I.

Ohm-s-Law-Visualizer It's an application to calculate I from v and r using Ohm's Law. It can also plot a graph between V vs I. Story I'm doing my Unde

Plot and save the ground truth  and predicted results of human 3.6 M and CMU mocap dataset.
Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.

Visualization-of-Human3.6M-Dataset Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset. human-motion-prediction

Plot-configurations for scientific publications, purely based on matplotlib

TUEplots Plot-configurations for scientific publications, purely based on matplotlib. Usage Please have a look at the examples in the example/ directo

A tool to plot and execute Rossmos's Formula, that helps to catch serial criminals using mathematics
A tool to plot and execute Rossmos's Formula, that helps to catch serial criminals using mathematics

Rossmo Plotter A tool to plot and execute Rossmos's Formula using python, that helps to catch serial criminals using mathematics Author: Amlan Saha Ku

A custom qq-plot for two sample data comparision
A custom qq-plot for two sample data comparision

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

Comments
  • generateStaticHtmlPage() Exception

    generateStaticHtmlPage() Exception

    Already mentioned in issue #7.

    I am still getting the following error when using st_letsplot: generateStaticHtmlPage() - Exception: Trying to access top level value not marked as @ThreadLocal or @SharedImmutable from non-main thread

    Is there a workaround? Are there several methods gnerating the html page? Or is it a bug in streamlit or lets-plot?

    opened by schakalakka 4
  • KeyError if there is no ggsize

    KeyError if there is no ggsize

    If I have a plot without ggsize like lp.ggplot(df, lp.aes(x='foo, y='bar')) + lp.geom_bar() then streamlit_letsplot throws an KeyError: 'ggsize' with a throwsback to File "C:\ProgramData\Anaconda3\envs\efleets39\lib\site-packages\streamlit_letsplot\__init__.py", line 24, in st_letsplot height=plot_dict["ggsize"]["height"]

    Solution: Adding lp.ggsize(500, 250) to the plot works.

    opened by schakalakka 4
Releases(v0.0.3)
  • v0.0.3(Nov 3, 2022)

    What's Changed

    • dealing with missing ggsize by @schakalakka in https://github.com/randyzwitch/streamlit-letsplot/pull/9

    New Contributors

    • @schakalakka made their first contribution in https://github.com/randyzwitch/streamlit-letsplot/pull/9

    Full Changelog: https://github.com/randyzwitch/streamlit-letsplot/compare/v0.0.2...v0.0.3

    Source code(tar.gz)
    Source code(zip)
  • v0.0.2(May 27, 2021)

Owner
Randy Zwitch
Head of Developer Relations at Streamlit. Julia enthusiast, R and Python developer
Randy Zwitch
Colormaps for astronomers

cmastro: colormaps for astronomers 🔭 This package contains custom colormaps that have been used in various astronomical applications, similar to cmoc

Adrian Price-Whelan 12 Oct 11, 2022
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.

COVID-19-Greece A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece. Data sources Data provided by Johns Hopki

Isabelle Viktoria Maciohsek 23 Jan 03, 2023
Python toolkit for defining+simulating+visualizing+analyzing attractors, dynamical systems, iterated function systems, roulette curves, and more

Attractors A small module that provides functions and classes for very efficient simulation and rendering of iterated function systems; dynamical syst

1 Aug 04, 2021
649 Pokémon palettes as CSVs, with a Python lib to turn names/IDs into palettes, or MatPlotLib compatible ListedColormaps.

PokePalette 649 Pokémon, broken down into CSVs of their RGB colour palettes. Complete with a Python library to convert names or Pokédex IDs into eithe

11 Dec 05, 2022
clock_plot provides a simple way to visualize timeseries data, mapping 24 hours onto the 360 degrees of a polar plot

clock_plot clock_plot provides a simple way to visualize timeseries data mapping 24 hours onto the 360 degrees of a polar plot. For usage, please see

12 Aug 24, 2022
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver

Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constrai

Sabbella Prasanna 1 Jan 11, 2022
Automatically visualize your pandas dataframe via a single print! 📊 💡

A Python API for Intelligent Visual Discovery Lux is a Python library that facilitate fast and easy data exploration by automating the visualization a

Lux 4.3k Dec 28, 2022
Fractals plotted on MatPlotLib in Python.

About The Project Learning more about fractals through the process of visualization. Built With Matplotlib Numpy License This project is licensed unde

Akeel Ather Medina 2 Aug 30, 2022
Learning Convolutional Neural Networks with Interactive Visualization.

CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs) For more information,

Polo Club of Data Science 6.3k Jan 01, 2023
A python wrapper for creating and viewing effects for Matt Parker's christmas tree.

Christmas Tree Visualizer A python wrapper for creating and viewing effects for Matt Parker's christmas tree. Displays py or csv effect files and allo

4 Nov 22, 2022
Some method of processing point cloud

Point-Cloud Some method of processing point cloud inversion the completion pointcloud to incomplete point cloud Some model of encoding point cloud to

Tan 1 Nov 19, 2021
Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib

POV-Ray-color-maps Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib. The include file Color_M

Tor Olav Kristensen 1 Apr 05, 2022
Some useful extensions for Matplotlib.

mplx Some useful extensions for Matplotlib. Contour plots for functions with discontinuities plt.contour mplx.contour(max_jump=1.0) Matplotlib has pro

Nico Schlömer 519 Dec 30, 2022
https://there.oughta.be/a/macro-keyboard

inkkeys Details and instructions can be found on https://there.oughta.be/a/macro-keyboard In contrast to most of my other projects, I decided to put t

Sebastian Staacks 209 Dec 21, 2022
CompleX Group Interactions (XGI) provides an ecosystem for the analysis and representation of complex systems with group interactions.

XGI CompleX Group Interactions (XGI) is a Python package for the representation, manipulation, and study of the structure, dynamics, and functions of

Complex Group Interactions 67 Dec 28, 2022
Alternative layout visualizer for ZSA Moonlander keyboard

General info This is a keyboard layout visualizer for ZSA Moonlander keyboard (because I didn't find their Oryx or their training tool particularly us

10 Jul 19, 2022
paintable GitHub contribute table

githeart paintable github contribute table how to use: Functions key color select 1,2,3,4,5 clear c drawing mode mode on turn off e print paint matrix

Bahadır Araz 27 Nov 24, 2022
A simple python tool for explore your object detection dataset

A simple tool for explore your object detection dataset. The goal of this library is to provide simple and intuitive visualizations from your dataset and automatically find the best parameters for ge

GRADIANT - Centro Tecnolóxico de Telecomunicacións de Galicia 142 Dec 25, 2022
Debugging, monitoring and visualization for Python Machine Learning and Data Science

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

Microsoft 3.3k Dec 27, 2022
Uniform Manifold Approximation and Projection

UMAP Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, bu

Leland McInnes 6k Jan 08, 2023