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You're reading from  Big Data Analysis with Python

Product typeBook
Published inApr 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789955286
Edition1st Edition
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Authors (3):
Ivan Marin
Ivan Marin
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Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.
Read more about Ivan Marin

Ankit Shukla
Ankit Shukla
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Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.
Read more about Ankit Shukla

Sarang VK
Sarang VK
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Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.
Read more about Sarang VK

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Components of a Graph


Each graph has a set of common components that can be adjusted. The names that Matplotlib uses for these components are demonstrated in the following graph:

Figure 2.3: Components of a graph

The components of a graph are as follows:

  • Figure: The base of the graph, where all the other components are drawn.

  • Axis: Contains the figure elements and sets the coordinate system.

  • Title: The title gives the graph its name.

  • X-axis label: The name of the x-axis, usually named with the units.

  • Y-axis label: The name of the y-axis, usually named with the units.

  • Legend: A description of the data plotted in the graph, allowing you to identify the curves and points in the graph.

  • Ticks and tick labels: They indicate the points of reference on a scale for the graph, where the values of the data are. The labels indicate the values themselves.

  • Line plots: These are the lines that are plotted with the data.

  • Markers: Markers are the pictograms that mark the point data.

  • Spines: The lines that delimit the...

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Big Data Analysis with Python
Published in: Apr 2019Publisher: PacktISBN-13: 9781789955286

Authors (3)

author image
Ivan Marin

Ivan Marin is a systems architect and data scientist working at Daitan Group, a Campinas-based software company. He designs big data systems for large volumes of data and implements machine learning pipelines end to end using Python and Spark. He is also an active organizer of data science, machine learning, and Python in So Paulo, and has given Python for data science courses at university level.
Read more about Ivan Marin

author image
Ankit Shukla

Ankit Shukla is a data scientist working with World Wide Technology, a leading US-based technology solution provider, where he develops and deploys machine learning and artificial intelligence solutions to solve business problems and create actual dollar value for clients. He is also part of the company's R&D initiative, which is responsible for producing intellectual property, building capabilities in new areas, and publishing cutting-edge research in corporate white papers. Besides tinkering with AI/ML models, he likes to read and is a big-time foodie.
Read more about Ankit Shukla

author image
Sarang VK

Sarang VK is a lead data scientist at StraitsBridge Advisors, where his responsibilities include requirement gathering, solutioning, development, and productization of scalable machine learning, artificial intelligence, and analytical solutions using open source technologies. Alongside this, he supports pre-sales and competency.
Read more about Sarang VK