Matplotlib is a python package for 2D plotting that generates production-quality graphs.it supports interactive and non-interactive plotting, and can save images in several output formats. It can use multiple window toolkits and it provides a wide variety of plot types. It’s also highly customizable, flexible, and easy to use. HIRE WRITERS ONLINE.
The dual nature of Matplotlib allows it to be used in both interactive and non-interactive scripts. It can be used in scripts without graphical display, embedded in graphical application or on web pages. It can also be used interactively with python interpreter or me python. Matplotliib allows generation of high quality, publication ready graphs with minimal effort, and for elaborate graphs, it has powerful library to support the needs.
Matplotlib was created in the scientific area of computing, where gnuplot and MATLAB was used a lot. Matplotlib was modelled on MATLAB, because graphing was something that MATLAB did very well, the high degree of compatibility between them mad many developers move from MATLAB to Matplotlib, as they felt like home while working with Matplotlib
Python is an interpreted language with a strong core function basis and powerful modular aspect which allows us to expand the language with external modules that offer new functionalities
Reason for success of Matplotlib for python
Matplotlib has a lot of output formats available, which can be used for articles books and other print publications, for web pages, or for any other reason we can think of. Let’s first differentiate into two categories:
The backend is that part of Matplotlib that works behind the scenes and allows the software to target several different output formats and GUI libraries
In order to be even more flexible, Matplotlib introduces the following two layers structured
Matplotlib for python dependencies
Installation of Matplotlib for python
Installing Matplotlib on windows
Before installing Matplotlib on windows we have to satisfy its main dependencies so we have to download: installers for python and installers for numpy. Once we’ve got those packages correctly installed, we can go to the main project page of Matplotlib.
Installing Matplotlib on Mac OS X
The procedure of installing this is similar to that of windows, first we have to download installers for python and installers of Numpy which are all available for download then you finally need to download binary installer.
Installing Matplotlib on Linux
Using Linux distribution is advantages in that several programs and libraries are already prepared by the distribution developers and made available to users all we need is the right tool and installing package.
Installing Matplotlib using packaged python distributions.
There are some packaged distribution of python that contain Matplotlib in them along with many other tools, such as Ipython, Numpy, Scrpy and so on, These distribution will set up all the necessary things we need so that we can use Matplotlib in the machine those distributions are as follows Enthought python distribution(EFD),python(x, y) and sage
Testing of installation of Matplotlib for python
To verify the Matplotlip installation for python you have to use a given command that includes calling an attribute common to most python packages.
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