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Matplotlib is a plotting library for the Python programming language. The most used module of Matplotib is Pyplot which provides an interface like Matlab but instead, it uses Python and it is open source.
In this note, we will focus on basic Matplotlib to help visualize our data. This is not a comprehensive list but contains common types of data visualization formats. Let’s hop to it!
The structure of this note:
Anatomy of a Figure (Image by Author)
A figure contains the overall window where plotting happens.
Axes: It is what we generally think of as a plot. Each Axes has a title, an x-label, and a y-label.
ote: We can have more than one Axes in a figure which helps in building multiple plots.
We can have more than one Axes in a figure which helps in building multiple plots. (Image by Author)
**Axis **are the number line like objects and help to generate the graph limits. Every axes has an x-axis and y-axis for plotting.
Ticks are the markers denoting data points on axes, that is, the values used to show specific points on the coordinate axis. These values can be a number or a string. Whenever we plot a graph, the axes adjust and take the default ticks. Matplotlib’s default ticks are generally sufficient in common situations but are in no way optimal for every plot.
A spine to a graph is the edge of the graph. It connects the axis tick marks and noting the boundaries of the data area.
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For all those budding professionals and newbies alike who are thinking of taking a dive into the booming world of data science, we have compiled a quick cheat sheet to get you brushed up with the basics and methodologies that underline this field.
The data that gets generated in our world is in a raw form, i.e., numbers, codes, words, sentences, etc. Data Science takes this very raw data to process it using scientific methods to transform it into meaningful forms to gain knowledge and insights.
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Python has become the most popular computing language to perform data science in 2021. But before you can make astounding deep learning and machine learning models you need to know the basics of Python and the different types of objects first.
Check out the different sections below to learn the various types of objects and their capabilities.
_4. _NumPy Arrays
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Matplotlib Tutorial - Bar Charts and reading in CSV Data - (Part 2)
Part 2 of our Matplotlib Tutorial Videos Series is out…
In this video, we will learn creating bar charts in matplotlib. We will also learn to put bar charts side-by-side in matplotlib. Also, we will read in a csv file to create bar charts in Matplotlib .
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Amazon Web Services (AWS) consists of various cloud computing services that offer simple, cost-effective, and adaptable solutions. Cloud computing is a boon for modern organizations that want to build and maintain data centers.
It offers cost-effective solutions that not only have efficiency but are also scalable. It provides affordable cloud infrastructure and services on a vast scale. And if you are a person who is looking forward to a career in AWS and want to master AWS, you must go for certain AWS certifications.
A career in AWS is an extremely promising one. Infrastructure as a service (IAAS) provided by AWS alone holds about 33% of the market equivalent to its competitors, including Microsoft Azure and Google cloud platform. Moreover, there is an exponential increase in the AWS market share for its other services as well.
Almost 60% of the total job opportunities in the cloud are related to AWS. There is a scarcity of professionals that possess Cloud Computing skills. Therefore, there are plenty of job opportunities that can significantly boost your career if you go for AWS certifications.
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This is our seventh article in Python Matplotlib, in this article we are going to learn about Matplotlib Plotting BoxPlot. so in descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles. Box plots may also have lines extending from the boxes indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. also Boxplot allows you to compare distributions of values by conveniently showing the median, quartiles, maximum, and minimum of a set of values.
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