Pretty graphs and charts in Python [closed]

What are the available libraries for creating pretty charts and graphs in a Python application?

Asked by: Stuart923 | Posted: 27-01-2022

Answer 1

I'm the one supporting CairoPlot and I'm very proud it came up here. Surely matplotlib is great, but I believe CairoPlot is better looking. So, for presentations and websites, it's a very good choice.

Today I released version 1.1. If interested, check it out at CairoPlot v1.1

EDIT: After a long and cold winter, CairoPlot is being developed again. Check out the new version on GitHub.

Answered by: Fenton231 | Posted: 28-02-2022

Answer 2

For interactive work, Matplotlib is the mature standard. It provides an OO-style API as well as a Matlab-style interactive API.

Chaco is a more modern plotting library from the folks at Enthought. It uses Enthought's Kiva vector drawing library and currently works only with Wx and Qt with OpenGL on the way (Matplotlib has backends for Tk, Qt, Wx, Cocoa, and many image types such as PDF, EPS, PNG, etc.). The main advantages of Chaco are its speed relative to Matplotlib and its integration with Enthought's Traits API for interactive applications.

Answered by: Kelvin741 | Posted: 28-02-2022

Answer 3

You can also use pygooglechart, which uses the Google Chart API. This isn't something you'd always want to use, but if you want a small number of good, simple, charts, and are always online, and especially if you're displaying in a browser anyway, it's a good choice.

Answered by: Victoria275 | Posted: 28-02-2022

Answer 4

You didn't mention what output format you need but reportlab is good at creating charts both in pdf and bitmap (e.g. png) format.

Here is a simple example of a barchart in png and pdf format:

from import Drawing
from import VerticalBarChart

d = Drawing(300, 200)

chart = VerticalBarChart()
chart.width = 260
chart.height = 160
chart.x = 20
chart.y = 20 = [[1,2], [3,4]]
chart.categoryAxis.categoryNames = ['foo', 'bar']
chart.valueAxis.valueMin = 0

d.add(chart)'test', formats=['png', 'pdf'])

alt text

Note: the image has been converted to jpg by the image host.

Answered by: Jack818 | Posted: 28-02-2022

Answer 5


Answered by: John149 | Posted: 28-02-2022

Answer 6

I used pychart and thought it was very straightforward.

It's all native python and does not have a busload of dependencies. I'm sure matplotlib is lovely but I'd be downloading and installing for days and I just want one measley bar chart!

It doesn't seem to have been updated in a few years but hey it works!

Answered by: William842 | Posted: 28-02-2022

Answer 7

Have you looked into ChartDirector for Python?

I can't speak about this one, but I've used ChartDirector for PHP and it's pretty good.

Answered by: Andrew231 | Posted: 28-02-2022

Answer 8

NodeBox is awesome for raw graphics creation.

Answered by: Blake367 | Posted: 28-02-2022

Answer 9

If you like to use gnuplot for plotting, you should consider It provides an object-oriented interface to gnuplot, and also allows you to pass commands directly to gnuplot. Unfortunately, it is no longer being actively developed.

Answered by: Eric325 | Posted: 28-02-2022

Answer 10

Chaco from enthought is another option

Answered by: Max883 | Posted: 28-02-2022

Answer 11

You should also consider PyCha

Answered by: Samantha476 | Posted: 28-02-2022

Answer 12

I am a fan on PyOFC2 :

It just just a package that makes it easy to generate the JSON data needed for Open Flash Charts 2, which are very beautiful. Check out the examples on the link above.

Answered by: Emily266 | Posted: 28-02-2022

Answer 13

Please look at the Open Flash Chart embedding for WHIFF and the amCharts embedding for WHIFF too Thanks.

Answered by: Julian666 | Posted: 28-02-2022

Answer 14

You could also consider google charts.

Not technically a python API, but you can use it from python, it's reasonably fast to code for, and the results tend to look nice. If you happen to be using your plots online, then this would be an even better solution.

Answered by: Anna747 | Posted: 28-02-2022

Answer 15

PLplot is a cross-platform software package for creating scientific plots. They aren't very pretty (eye catching), but they look good enough. Have a look at some examples (both source code and pictures).

The PLplot core library can be used to create standard x-y plots, semi-log plots, log-log plots, contour plots, 3D surface plots, mesh plots, bar charts and pie charts. It runs on Windows (2000, XP and Vista), Linux, Mac OS X, and other Unices.

Answered by: Maya964 | Posted: 28-02-2022

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