[amp_mcq option1=”Plot are created with multiple functions only” option2=”Plots are created with both single and multiple function calls” option3=”Annotation in plot is not especially intuitive” option4=”None of the mentioned” correct=”option3″]<\/p>\n
The correct answer is: C. Annotation in plot is not especially intuitive.<\/strong><\/p>\n Plots can be created with both single and multiple function calls. For example, a simple line plot can be created with the Annotation in plots is a way to add additional information to a plot, such as labels, titles, and legends. This can be done with the Annotation in plots can be very helpful in making a plot more informative and easier to understand. However, it is important to use annotation sparingly, as too much annotation can make a plot cluttered and difficult to read.<\/p>\n Here is an example of a simple line plot:<\/p>\n “` x = [1, 2, 3, 4, 5] plt.plot(x, y) This code will create a plot with a line connecting the points (1, 2), (2, 4), (3, 6), (4, 8), and (5, 10).<\/p>\n Here is an example of a more complex plot with multiple lines and axes:<\/p>\n “` x = [1, 2, 3, 4, 5] plt.subplots(nrows=2, ncols=1)<\/p>\n plt.subplot(211) plt.subplot(212) plt.show() This code will create a plot with two axes, one for each line. The first axis will show the line connecting the points (1, 2), (2, 4), (3, 6), (4, 8), and (5, 10). The second axis will show the line connecting the points (1, 3), (2, 6), (3, 9), (4, 12), and (5, 15).<\/p>\n Here is an example of how to annotate a plot:<\/p>\n “` x = [1, 2, 3, 4, 5] plt.plot(x, y)<\/p>\n plt.annotate(‘This is a line’, xy=(2, 4), xytext=(3, 5), textcoords=’offset points’, arrowprops=dict(facecolor=’red’, shrink=0.05))<\/p>\n plt.show() This code will create a plot with a line connecting the points (1, 2), (2, 4), (3, 6), (4, 8), and (5, 10). The line will be annotated with the text “This is a line”. The annotation will be placed at the point (2, 4), and will be offset by 1 unit to the right and 1 unit up. The annotation will be drawn in red.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”Plot are created with multiple functions only” option2=”Plots are created with both single and multiple function calls” option3=”Annotation in plot is not especially intuitive” option4=”None of the mentioned” correct=”option3″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[738],"tags":[],"class_list":["post-48607","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","no-featured-image-padding"],"yoast_head":"\nplot()<\/code> function, while a more complex plot with multiple lines and axes can be created with the subplots()<\/code> function.<\/p>\nannotate()<\/code> function.<\/p>\n
\nimport matplotlib.pyplot as plt<\/p>\n
\ny = [2, 4, 6, 8, 10]<\/p>\n
\nplt.show()
\n“`<\/p>\n
\nimport matplotlib.pyplot as plt<\/p>\n
\ny1 = [2, 4, 6, 8, 10]
\ny2 = [3, 6, 9, 12, 15]<\/p>\n
\nplt.plot(x, y1)
\nplt.title(‘Line 1’)<\/p>\n
\nplt.plot(x, y2)
\nplt.title(‘Line 2’)<\/p>\n
\n“`<\/p>\n
\nimport matplotlib.pyplot as plt<\/p>\n
\ny = [2, 4, 6, 8, 10]<\/p>\n
\n“`<\/p>\n