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Matplotlib留学生作业代做、代写Java/Python实

Matplotlib留学生作业代做、代写Java/Python实

作者: ggnge65 | 来源:发表于2019-05-03 12:12 被阅读0次

    Exercise 4: MatplotlibDue: 5pm Sunday Feb 4, 2018Problem 1: US age distribution?Read the US age distribution file (US_age_distribution.csv). The file is a plain text file that looks something like this.year,0-14 years,15-64 years,65 years+2005,20.43,67.25,12.322006,20.37,67.24,12.392007,20.24,67.27,12.49...After reading the data into lists (using csv module), make the following plots.time series of each group as a line charttime series of each group as a bar charttime series of these groups as a stack charta pie chart for the distribution at 2015In [1]:# Your code hereProblem 2: Population heightBase on the country_population_temperature_height.csv file,create a scatter plot to examine if there is a relationship between population and the average heightcreate a scatter plot to examine if there is a relationship between the average height and the average annual temperature of each countrymodify the scatter plot created in 2 to also include and present the population information in the scatter plot. (Hint: you can use different color or marker size to present population).In [2]:# Your code hereProblem 3: Plot hurricane tracksBased on data in the 2016_hurricane.csv file, use basemap to plot the tracks of all tropical storms during the 2016 hurricane season in the Atlantic basin. Make sure you use the proper map projection to have minimal distortion over the region.This document provides the detailed description about the format of the data.use different color to indicate the intensity of the storm: TD, TS, HU. Ignore other categorieslabel each track by the name of the storm.Hints:What basemap function should you use to make the plot?How do you use different colors based on hurricane intensity?This csv files contains multiple tropical storm data, so there are many header lines that are different from the data lines. How do you read this data so that you wont mix up the storms.In [3]:# Your code here本团队核心人员组成主要包括BAT一线工程师,精通德英语!我们主要业务范围是代做编程大作业、课程设计等等。我们的方向领域:window编程 数值算法 AI人工智能 金融统计 计量分析 大数据 网络编程 WEB编程 通讯编程 游戏编程多媒体linux 外挂编程 程序API图像处理 嵌入式/单片机 数据库编程 控制台 进程与线程 网络安全 汇编语言 硬件编程 软件设计 工程标准规等。其中代写编程、代写程序、代写留学生程序作业语言或工具包括但不限于以下范围:C/C++/C#代写Java代写IT代写Python代写辅导编程作业Matlab代写Haskell代写Processing代写Linux环境搭建Rust代写Data Structure Assginment 数据结构代写MIPS代写Machine Learning 作业 代写Oracle/SQL/PostgreSQL/Pig 数据库代写/代做/辅导Web开发、网站开发、网站作业ASP.NET网站开发Finance Insurace Statistics统计、回归、迭代Prolog代写Computer Computational method代做因为专业,所以值得信赖。如有需要,请加QQ:99515681 或邮箱:99515681@qq.com 微信:codehelp QQ:99515681 或邮箱:99515681@qq.com 微信:codehelp

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