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Anna Golubkova
Anna Golubkova

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How to Plot Data with Fortran in 2025?

In 2025, Fortran continues to be a prominent language for numerical and scientific computing due to its high performance and portability. Plotting data efficiently remains a crucial task for researchers and engineers. This guide will walk you through the steps to plot data using Fortran, highlighting modern techniques and best practices relevant to the current year.

Why Use Fortran for Plotting?

Fortran is renowned for its superior handling of numerical computations, making it an excellent choice for simulations and data manipulation tasks. Integrating plotting capabilities extends its functionality, allowing for the visual analysis of complex data sets.

Setting Up Your Fortran Environment

Before diving into data plotting, ensure that your Fortran environment is correctly set up. You'll typically need a modern Fortran compiler such as GNU Fortran (gfortran) or Intel Fortran Compiler. Additionally, you may need tools like CMake for build configuration when integrating Fortran with other languages like C++.

Popular Libraries for Plotting in Fortran

  1. PLplot: A cross-platform software package for creating scientific plots.

  2. GNUplot: Often used in conjunction with Fortran to produce high-quality graphs.

  3. Matplotlib via Python: Utilize Fortran's computational prowess with Python's plotting capabilities through interoperability.

Step-by-Step Guide to Plot Data in Fortran

To keep it simple, this guide assumes you are using PLplot. Below are the steps to plot a basic graph.

Step 1: Install PLplot

Install PLplot on your system. On Unix-based systems, you can use a package manager:

sudo apt-get install plplot
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Step 2: Writing Your Fortran Code

Create a Fortran program that prepares the data to be plotted. Here is a simple example that demonstrates plotting a sine wave:

program plot_sine_wave
  use plplot
  implicit none

  integer, parameter :: n = 100
  real :: x(n), y(n)
  integer :: i

  call plinit()
  call plenv(0.0, 2.0 * 3.14159, -1.0, 1.0, 0, 0)
  call pllab('x', 'sin(x)', 'Sine Wave Example')

  do i = 1, n
    x(i) = (i - 1) * 2.0 * 3.14159 / (n - 1)
    y(i) = sin(x(i))
  end do

  call plline(n, x, y)
  call plend()

end program plot_sine_wave
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Step 3: Compile and Run Your Program

Compile your Fortran code with a PLplot link. If you're using gfortran, you can compile with the following:

gfortran -o plot_sine_wave plot_sine_wave.f90 -lplplotf95d
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Run the program to generate the plot:

./plot_sine_wave
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Advanced Documentation and Configuration

For those looking to document their code and ensure good practices, Fortran Enum Documentation with Doxygen is invaluable. It helps in documenting enumerations and improving code readability.

For more complex build configurations, especially when combining Fortran with C/C++, refer to information on Fortran and C++ Build Configuration.

Additionally, if your project involves calculating rate of change, you might find forums on Computing Rate of Change in Fortran useful.

Best Fortran Programming Books to Buy in 2025

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Fortran Programming in easy steps
Fortran Programming in easy steps
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Schaum's Outline of Programming With Fortran 77
Schaum's Outline of Programming With Fortran 77
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Abstracting Away the Machine: The History of the FORTRAN Programming Language (FORmula TRANslation)
Abstracting Away the Machine: The History of the FORTRAN Programming Language (FORmula TRANslation)
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Comprehensive Fortran Programming: Advanced Concepts and Techniques
Comprehensive Fortran Programming: Advanced Concepts and Techniques
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FORTRAN FOR SCIENTISTS & ENGINEERS
FORTRAN FOR SCIENTISTS & ENGINEERS
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Conclusion

In 2025, plotting with Fortran is not only feasible but also streamlined with an array of libraries and tools. By leveraging these resources, you can create compelling visualizations that complement your computational research. The combination of Fortran's computing power with high-quality plotting libraries ensures that your scientific visualization is both efficient and effective.

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