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PyGnuplot

Python interface to gnuplot

Install / Use

/learn @benschneider/PyGnuplot
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

.. image:: https://badge.fury.io/py/PyGnuplot@2x.svg :target: https://badge.fury.io/py/PyGnuplot

.. image:: https://anaconda.org/benschneider/pygnuplot/badges/version.svg :target: https://anaconda.org/benschneider/pygnuplot

.. image:: https://travis-ci.org/benschneider/PyGnuplot.svg?branch=experimental :target: https://travis-ci.org/benschneider/PyGnuplot

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg :target: https://github.com/benschneider/PyGnuplot/blob/master/LICENSE

PyGnuplot: Python wrapper for Gnuplot

Author: Ben Schneider

Requires: ......... Gnuplot (http://www.gnuplot.info)

Installation: .............

Using pip

.. code::

    pip install PyGnuplot

Using conda

.. code::

    conda install -c benschneider pygnuplot

Upgrade: ........ .. code::

    pip install --upgrade  PyGnuplot

Basic Usage: ............ .. code::

    from PyGnuplot import gp
    figure1 = gp()  # Create a new figure handle
    figure2 = gp(r"C:\Program Files\gnuplot\bin\gnuplot.exe")  # Can also specify which gnuplot to use
    figure1.a("plot sin(x)")
    figure2.a("plot cos(x)")
    pi = figure.a("print pi")

Functions available with each figure: .....................................

c(command)

pipe a command to gnuplot as if in gnuplot command promt

.. code:: python

c('plot sin(x)')

save(data, filename='tmp.dat')

save arrays into file (filename = 'tmp.dat') easily read by Gnuplot

.. code:: python

s([X,Y,Z])  # creates tmp.dat

.. code:: python

c('plot "tmp.dat" u 1:2')

a(command='', vtype=str, timeout=0.05)

asks gnuplot: it sends a command to gnuplot and returns its response This is paricularly handy when using gnuplots fitting features vtype can be used to change the return format timeout is the time to wait for a response

.. code:: python

  a('print pi')  # returns the value of pi

.. code:: python

  a('print pi; print pi')  # returns 2 times the value of pi

r(vtype=str, timeout=0.05)

reads the gnuplot return buffer until its empty

plot(data, filename='tmp.dat')

Plot some data. Sends plot instructions and the data to Gnuplot

.. code:: python

    plot([x,y])

plot_b(data, v1='d', v2='%double')

Similar to plot: Sends plot instructions and the data to Gnuplot However it sends them in binary format, which can be beneficial when the dealing with larger quanities of numbers

p(filename='tmp.ps', width=14, height=9, fontsize=12, term='x11')

Create postscript file (overwrites existing)

.. code:: python

p('myfile.ps')

pdf(filename='tmp.pdf', width=14, height=9, fontsize=12, term='x11')

Create a pdf file (overwrites existing)

.. code:: python

pdf('myfile.pdf')

quit()

Closes windows,then gnuplot, then the pipe

Setup terminal ..............

This script will use the same default terminal that gnuplot used (it reads the GPVAL_TERM value when gnuplot starts up) it can still be modified by the 'default_term' variable:

.. code:: python

from PyGnuplot import gp
fig1 = gp()
fig1.default_term = 'wxt'

New features: .............

fit2d(data, func='y(x)=a + b*x', via='a,b', limit=1e-9)

Quickly Fit a simple 2-D data set and return the fitting results.
This uses the new ask function "a()"
Here we gather the fitting info from gnuplot

and:

fit(self, data, func='y(x)=a + b*x', via='a,b', limit=1e-9, filename='tmp.dat', wait=1)

Allows for sligtly more complex fitting, 
filename: stores data first into a temporary file default: tmp.dat
wait: define a waiting time in sec for gnuplot to finish its fitting default: 1sec

.. code:: python

import numpy as np
f1 = gp()
x = np.linspace(0, 20, 1001)
yn = np.random.randn(1001)/10
y = np.sin(x)
data = [x, y+yn]
func = 'y(x) = a + b*cos(x + c)'  # define a fitting function here.
(a, b, c), report = f1.fit2d(data, func, via='a,b,c', limit=1e-9) # sending in the data the function used to fit and the variables that are to be found.
f1.save(data, "tmp.dat")
f1.a('plot "tmp.dat" w lp')
f1.a('replot y(x)')

+-----------------------------------------------------------------------------------------------------------------+ |.. figure:: https://user-images.githubusercontent.com/4573907/193154658-92513c20-ab3c-4b29-b487-d98b79d85942.png | +-----------------------------------------------------------------------------------------------------------------+

+-----------------------------------------------------------------------------------------------------------------+ |.. figure:: https://user-images.githubusercontent.com/4573907/193154419-133761a1-3e2f-4c00-87d2-2c47b7da62c5.png | +-----------------------------------------------------------------------------------------------------------------+

Examples: .........

  • 1 Example code

.. code:: python

from PyGnuplot import gp
import numpy as np
X = np.arange(10)
Y = np.sin(X/(2*np.pi))
Z = Y**2.0
fig1 = gp()
fig1.save([X,Y,Z])
fig1.c('plot "tmp.dat" u 1:2 w lp)
fig1.c('replot "tmp.dat" u 1:3' w lp)
fig1.p('myfigure.ps')
  • 2 Example file

.. code::

    python example.py 

+-----------------------------------------------------------------------------------------------------------------+ |.. figure:: https://cloud.githubusercontent.com/assets/4573907/17233530/e4be9342-5530-11e6-9c71-e812a2fb4000.png | +-----------------------------------------------------------------------------------------------------------------+

Related Skills

View on GitHub
GitHub Stars50
CategoryDevelopment
Updated1mo ago
Forks18

Languages

Python

Security Score

100/100

Audited on Jan 29, 2026

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