{"id":55957,"date":"2024-04-16T00:36:17","date_gmt":"2024-04-16T00:36:17","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=55957"},"modified":"2024-04-16T00:36:17","modified_gmt":"2024-04-16T00:36:17","slug":"you-can-create-a-scatter-plot-matrix-using-the-method-in-pandas-tools-plotting","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/you-can-create-a-scatter-plot-matrix-using-the-method-in-pandas-tools-plotting\/","title":{"rendered":"You can create a scatter plot matrix using the . . . . . . . . method in pandas.tools.plotting."},"content":{"rendered":"

[amp_mcq option1=”sca_matrix” option2=”scatter_matrix” option3=”DataFrame.plot” option4=”all of the mentioned” correct=”option3″]<\/p>\n

The correct answer is: C. DataFrame.plot<\/strong><\/p>\n

The DataFrame.plot<\/code> method can be used to create a variety of plots, including scatter plots. To create a scatter plot matrix, you can use the kind='scatter'<\/code> argument. For example, the following code creates a scatter plot matrix for the iris<\/code> dataset:<\/p>\n

“`
\nimport pandas as pd
\nimport matplotlib.pyplot as plt<\/p>\n

df = pd.read_csv(‘iris.csv’)
\ndf.plot(kind=’scatter’)
\nplt.show()
\n“`<\/p>\n

This will produce a plot with one subplot for each of the four features in the iris<\/code> dataset. The points in each subplot will be colored according to the species of the flower.<\/p>\n

The sca_matrix<\/code> and scatter_matrix<\/code> methods are also available, but they are deprecated in favor of the DataFrame.plot<\/code> method.<\/p>\n","protected":false},"excerpt":{"rendered":"

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