An Open-source Plotting Library for Statistical Data

Python versions: 3.6-3.9

OS: Linux, macOS, Windows

Installation

pip install lets-plot

Prerequisites

• IPython

• Windows users only: MinGW toolchain

Datalore

You can try Lets-Plot in Datalore where it is available out-of-the-box.

Quickstart

import numpy as np
from lets_plot import *
LetsPlot.setup_html()

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)))
)

ggplot(data, aes(x='rating', fill='cond')) + ggsize(700, 300) + \
    geom_density(color='dark_green', alpha=.7) + scale_fill_brewer(type='seq') + \
    theme(panel_grid_major_x='blank')