Joint plot¶

Table of Contents¶

In [1]:

import pandas as pd

from lets_plot.bistro import *
from lets_plot import *

In [2]:

LetsPlot.setup_html()

In [3]:

df = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv")
print(df.shape)
df.head()

(150, 5)

Out[3]:

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa

In the simplest case, assign x and y to create a scatterplot (using geom_point()) with marginal histograms (using geom_histogram()).

In [4]:

joint_plot(df, "petal_length", "petal_width")

Out[4]:

Besides the points there are another two types of geoms: tile and density2d(f).

In [5]:

joint_plot(df, "petal_length", "petal_width", geom='tile')

Out[5]:

In [6]:

joint_plot(df.dropna(), "petal_length", "petal_width", color_by="species", geom='density2d')

Out[6]: