Export Plot to SVG, HTML, PNG¶

In [1]:

import pandas as pd

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 [4]:

p = ggplot(df) + geom_point(aes('petal_length', 'petal_width', color='species'), size=5) + ggsize(600, 400)
p

Out[4]:

In [5]:

fullpath_svg = ggsave(p, "plot.svg")

Load and display saved SVG.

In [6]:

from IPython.display import SVG

display(SVG(filename=fullpath_svg))

By default, when exporting HTML, ggsave wraps the HTML of the plot in an iframe that matches the size of the plot.

In [7]:

fullpath_html = ggsave(p, "plot.html")

Load and display saved HTML.

In [8]:

from IPython.display import HTML

display(HTML(filename=fullpath_html))

Use the iframe=False option to only export the HTML of the plot, without adding an iframe.

In [9]:

fullpath_no_iframe = ggsave(p, "no_iframe_plot.html", iframe=False)

In [10]:

display(HTML(filename=fullpath_no_iframe))

To export plot to a PNG file you should install the CairoSVG library to your Python environment.

To save plot as a PNG file use a filename that have "png" extension.

In [11]:

fullpath_png = ggsave(p, "plot.png")

Load and display saved PNG.

In [12]:

from IPython.display import Image

display(Image(filename=fullpath_png, width=600, height=400))

In [13]:

!rm -rf lets-plot-images