Plots Creation using Matplotlib Python

提供方
Coursera Project Network
在此指導 項目中,您將:

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初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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

您要培養的技能

Python ProgrammingPlotsData AnalysisMatplotlibData Visualization (DataViz)

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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