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You're reading from  Matplotlib 3.0 Cookbook

Product typeBook
Published inOct 2018
PublisherPackt
ISBN-139781789135718
Edition1st Edition
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Authors (2):
Srinivasa Rao Poladi
Srinivasa Rao Poladi
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Srinivasa Rao Poladi

Srinivasa Rao Poladi has been in the IT services industry for over two decades, providing consulting and implementation services in data warehousing, business intelligence, and machine learning areas for global customers. He has worked with Wipro Technologies for two decades and played key leadership roles in building large technology practices and growing them to multi-million $ business. He spoke at international conferences, published many blogs and white papers in the areas of big data, business intelligence, and analytics. He is a co-founder of krtrimaIQ a consulting firm that provides cognitive solutions to create tomorrow's Intelligent Enterprises powered by automation, big data, machine learning, and deep learning.
Read more about Srinivasa Rao Poladi

Nikhil Borkar
Nikhil Borkar
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Nikhil Borkar

Nikhil Borkar holds a CQF designation and a post Graduate Degree in Quantitative finance. He also holds the Certified Financial Crime examiner and Certified Anti-Money Laundering Professional qualifications. He is a registered Research Analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to Securities and Investments. He is currently working as an independent FinTech and legal consultant. Prior to this, the worked with Morgan Stanley Capital International (MSCI) as a Global RFP Project Manager.
Read more about Nikhil Borkar

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Plotting a correlation matrix using pyplot and object-oriented APIs

In this recipe, we will learn the difference between pyplot and an object-oriented APIs. We will plot the same correlation matrix, first with the pyplot API and then with an object-oriented API. We will use the same Wine Quality dataset for plotting the correlation matrix.

Getting ready

Import the following libraries for the pyplot API:

import pandas as pd
import matplotlib.pyplot as plt

Import the following libraries for an object-oriented API:

import pandas as pd
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from IPython.core.display import display

matplotlib.backends has a set of backends that...

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Matplotlib 3.0 Cookbook
Published in: Oct 2018Publisher: PacktISBN-13: 9781789135718

Authors (2)

author image
Srinivasa Rao Poladi

Srinivasa Rao Poladi has been in the IT services industry for over two decades, providing consulting and implementation services in data warehousing, business intelligence, and machine learning areas for global customers. He has worked with Wipro Technologies for two decades and played key leadership roles in building large technology practices and growing them to multi-million $ business. He spoke at international conferences, published many blogs and white papers in the areas of big data, business intelligence, and analytics. He is a co-founder of krtrimaIQ a consulting firm that provides cognitive solutions to create tomorrow's Intelligent Enterprises powered by automation, big data, machine learning, and deep learning.
Read more about Srinivasa Rao Poladi

author image
Nikhil Borkar

Nikhil Borkar holds a CQF designation and a post Graduate Degree in Quantitative finance. He also holds the Certified Financial Crime examiner and Certified Anti-Money Laundering Professional qualifications. He is a registered Research Analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to Securities and Investments. He is currently working as an independent FinTech and legal consultant. Prior to this, the worked with Morgan Stanley Capital International (MSCI) as a Global RFP Project Manager.
Read more about Nikhil Borkar