[amp_mcq option1=”gplt.plot()” option2=”plt.plot()” option3=”plt.plotgraph()” option4=”none of the mentioned” correct=”option2″]<\/p>\n
The correct answer is: B. plt.plot()<\/strong><\/p>\n The plot method on Series and DataFrame is just a simple wrapper around the The For example, the following code will create a line plot of the values in the This will create a plot with a blue line, with the x-axis values on the bottom and the y-axis values on the left.<\/p>\n You can also use the The other options are incorrect because they are not functions in the matplotlib library.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”gplt.plot()” option2=”plt.plot()” option3=”plt.plotgraph()” option4=”none of the mentioned” correct=”option2″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[],"class_list":["post-51713","post","type-post","status-publish","format-standard","hentry","category-data-analysis-with-python","no-featured-image-padding"],"yoast_head":"\nplt.plot()<\/code> function from the matplotlib library. This means that when you call the plot()<\/code> method on a Series or DataFrame, it will internally call the plt.plot()<\/code> function to create a plot of the data.<\/p>\nplt.plot()<\/code> function takes a number of arguments, including the data to plot, the type of plot to create, and the style of the plot. The default values for these arguments are sufficient for most use cases, but you can also specify your own values if you need to.<\/p>\ndf<\/code> DataFrame:<\/p>\ndf.plot()<\/code><\/p>\nplot()<\/code> method to create other types of plots, such as bar plots, scatter plots, and histograms. For more information on the plt.plot()<\/code> function, see the matplotlib documentation.<\/p>\n