Python Histogram Plotting NumPy, Matplotlib, Pandas & Seaborn

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MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lessons (39m) | Size: 118.8 MB

In this course, you'll be equipped to make production-quality, presentation-ready Python histogram plots with a range of choices and features.

If you have introductory to intermediate knowledge in Python and statistics, then you can use this article as a one-stop shop for building and plotting histograms in Python using libraries from its scientific stack, including NumPy, Matplotlib, Pandas, and Seaborn.

A histogram is a great tool for quickly assessing a probability distribution that is intuitively understood by almost any audience. Python offers a handful of different options for building and plotting histograms. Most people know a histogram by its graphical representation, which is similar to a bar graph:

This course will guide you through creating plots like the one above as well as more complex ones. Here's what you'll cover:

Building histograms in pure Python, without use of third party libraries
Constructing histograms with NumPy to summarize the underlying data
Plotting the resulting histogram with Matplotlib, Pandas, and Seaborn

http://nitroflare.com/view/00B2150ECDC2E4F/Python_Histogram_Plotting_NumPy%2C_Matplotlib%2C_Pandas_%26_Seaborn.rar

or
http://rapidgator.net/file/7145aea1f38cf80a12544eef552121ab/Python_Histogram_Plotting_NumPy,_Matplotlib,_Pandas_&_Seaborn.rar.html