Matplotlib tutorial with Python

Matplotlib tutorial with Python

Matplotlib tutorial with Python   Bar plots: They are used to represent comparison between the data points using the bars either horizontally or vertically import matplotlib.pyplot as plt import numpy as np x = np.arange(4) money = [1, 2, 5, 6] plt.ylabel(‘Millions’) plt.xlabel(‘Top Tycoons’) plt.title(‘Richest in the World’) plt.bar(x, money) plt.xticks(x, (‘Gates’, ‘Warren’, ‘Mittal’, ‘Ambani’)) plt.show()     Basic plotting: plt.plot([5, 20, 33, 12]) plt.show() x=np.linspace(-np.pi, np.pi, 256, endpoint=True) s, c=np.sin(x), np.cos(x) plt.plot(x,c) plt.plot(x,s) plt.show()       Color change: Let us make few changes like figure size, color of lines, line width etc using the function “figure”, “plot” In…

The list Of 20 Most Popular Python Libraries For Data Science In 2018

The list Of 20 Most Popular Python Libraries For Data Science In 2018

The list Of 20 Most Popular Python Libraries For Data Science In 2018   Python is one of the most popular, simple and understandable languages to use for developers. It plays a truly integral part to handle the tricky situations and different tasks of data science. The complexity of problems can readily be targeted by the utilization of data science libraries that python offer to the developer. We are going to introduce top 20 famous and handy data science libraries of this year that will provide the best solutions to successfully solve the complication of data storage and for running…