Matplotlib for python assignment help

Matplotlib for python assignment

Introduction

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.

Matplotlib for python assignment help Online

Matplotlib for python assignment help 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

  • Its open source, so no license to pay: This makes it very appealing for professors and students, who often have a low budget.
  • It uses python: Python is very interesting language for scientific purposes and is now used by major institution such as NASA, JPL, Google, dream Works, Disney, and many more.
  • It’s much more complete: python has a lot of external modules that will help us perform all the functions we need to. So its perfect tool to acquire data, elaborate the data, and then plot the data.
  • Its real programming language: The MATLAB language lacks many of the features of general purpose language like python.
  • It’s customizable and extensible: Matplotlib can fit every use case because it has a lot of graphs types, features, and configuration options.
  • Its integrate with LATEX markup: This is really useful when writing scientific papers,
  • Its cross-Platform and portable: Matplotlib can run on linux, windows, mac OS X, and Sun Solaris. And python can run on almost every architecture available.

Matplotlib output formats and backends for python.

Output formats

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:

  • Raster images: This are classic images we can find on the web or used for picture. The most well-known raster file format are PNG, JPG, and BMP they are widespread and well supported. The format of this image is like matrix, with rows and columns, and at every matrix cell we have a pixel description. This format is said to be resolution dependent, because the size of matrix is determined when the image is created.
  • Vector images: Vector images contain a description of the image in the form of mathematical equations and geometrical primitives for example points, lines, curves, polygons, or shapes as opposed to raster images. We can think of this format as a series of directives to plot the image: “Draw a point here, draw another point there, and draw a line between those two points” and so on.
Matplotlib for python assignment help Online

Matplotlib for python assignment help Online

Backbends

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

  • The renderer: This actually does the drawing, standard renderer is Anti-grain geometry (AGG) library, a high performance rendering engine which is able to create images of publication quality.
  • The canvas: this is the destination of the figure it is provided with GUI libraries.

Matplotlib for python dependencies

  1. Numpy: the de facto standard python module for numerical elaborations, provides support for high performances operations or even with big mathematical datatypes such as arrays and matrices.
  2. I python: It’s an interactive python shell with a lot of useful features, such as history, commands repeating, and others. It already has a matplotlib mode in it
  3. AGG (version2.4): this is anti-grain Geometry rendering engine. The local copy of the library is linked with Matplotlib code in static way so there is no need to install it.
  4. Pytz: this is used for handling the time zone for python objects. It will only be installed if it’s already present in the system.
  5. Python-dateutil: This is used for enhanced handling of the date time python objects. It needs to be installed if it’s not already present in the system and can be overridden.

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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