# Use Gnuplot With Python

Gnuplot is an open-source command-line-driven interactive data plotting software. If you are a Gnuplot user and want to use it in Python, then you can easily do this with the help of two packages, Gnuplot and `PyGnuplot`

.

We can also use Matplotlib for plotting in Python, but it isn’t as efficient as Gnuplot. On the other hand, Gnuplot is a 2D and 3D plotting utility that is good in performance and is much faster than Matplotlib.

## Use Gnuplot With `Gnuplot.py`

Michael Haggerty developed the `Gnuplot.py`

package. The prerequisite for this package is as follows.

- Install Gnuplot software.
- Install Python (any from version 2.2 to 3).
- Install the NumPy package in Python with the help of
`pip`

.

To install the Gnuplot package in Python, we have to follow these steps in Windows:

##### Download the

`Gnuplot.py`

package from Gnuplot.py.##### Open the command prompt.

##### Move to the

`Gnuplot.py`

location in the command prompt.##### Enter this command:

`python setup.py install`

As you install the `Gnuplot.py`

package, `numpy`

, you can use this code to access Gnuplot software.

```
# import libraries
import numpy as np
import Gnuplot
# assign x range 0 to 100
x = np.arange(100)
# assign y range of x square
y = x**2
#load Gnuplot software
g = Gnuplot.Gnuplot()
d = Gnuplot.Data(x,y,with_='lp')
#plot line point on the base of x and y
g.plot(d)
```

Output:

## Use Gnuplot With `pyGnuplot`

Gnuplot has no support nowadays, so we can use Gnuplot in Python by importing the `pyGnuplot`

package, a built-in package with Python’s latest versions. It is a wrapper of the Gnuplot software.

We must follow these steps in Windows to install the `pyGnuplot`

package in Python.

##### Move to the

`python.exe`

location.##### Press

`shift`and right-click on a given location.##### Select

`open powershell window`

from the popup menu.##### Install

`PyGnuplot`

using`pip`

. Enter this command:`pip install PyGnuplot`

Once it is successfully installed, we can then use it.

Now, let’s see a few examples of the `PyGnuplot`

package.

Example Code of `sin(x)`

:

```
from PyGnuplot import gp
# Write path of your gnuplot.exe
fig1 = gp(r'C:\Program Files\gnuplot\bin\gnuplot.exe')
#a stand for ask gnuplot; it send command to gnuplot
fig1.a("plot sin(x)")
```

Output:

Use the default data file of Gnuplot:

```
#same example Written for Gnuplot.py
#import libraries
from PyGnuplot import gp
import numpy as np
# x range till 100
x = np.arange(100)
#y is equal to the square of x
y = x**2
# Write the path of your gnuplot.exe
fig1 = gp(r'C:\Program Files\gnuplot\bin\gnuplot.exe')
#by default, save tmp.dat data file
fig1.save([x,y])
#give the command to gnuplot to plot the data file using columns 1 and 2 to draw line points
fig1.c('plot "tmp.dat" u 1:2 w lp')
```

Output:

We can use the `pdf()`

method to save the graph in PDF format.

```
fig1.pdf('figure.pdf') # outputs pdf file
```

We can use `fit`

and `fit2d`

functions to fit quickly with Gnuplot. We can use the `ps`

function to make Gnuplot print into a postscript.

We can see many other methods in PyGnuplot’s documentation.

## Conclusion

Gnuplot is much better in performance than Matplotlib, and as a Gnuplot user, you don’t need to shift on Matplotlib. You don’t need to learn new terms when you are an expert in the Gnuplot software, so we can easily use `Gnuplot.py`

and `PyGnuplot`

packages in Python for Gnuplot software.

**Zeeshan Afridi**

Zeeshan is a detail oriented software engineer that helps companies and individuals make their lives and easier with software solutions.

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