Plots Creation using Matplotlib Python

提供方
Coursera Project Network
在此指导项目中,您将:

Add the data in the CSV file to Pandas data frame, plot the graph and set marker type and color.

Create the boxplot, set labels, change font size, add grid lines and legends, and finally save the graph as an image.

Clock1 hour
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis. people who want to learn python and Pandas library. It provides you with the important steps to be a data analyst. Moreover, it equips you with the knowledge of python's native data structures

您要培养的技能

  • Python Programming
  • Plots
  • Data Analysis
  • Matplotlib
  • Data Visualization (DataViz)

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. You will be able to add the data in the CSV file to Pandas data frame.

  2. You will be able to plot the graph and set marker type and color.

  3. You will be able to set labels, change font size and add grid lines and legends.

  4. You will be able to create the boxplot and save the graph as an image.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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常见问题

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