[amp_mcq option1=”row_stack” option2=”column_stack” option3=”com_stack” option4=”all of the mentioned” correct=”option2″]<\/p>\n
The correct answer is: B. column_stack<\/strong><\/p>\n The For example, if we have the following 1D arrays:<\/p>\n We can stack them as columns into a 2D array using the “`<\/p>\n from numpy import column_stack The The [amp_mcq option1=”row_stack” option2=”column_stack” option3=”com_stack” option4=”all 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":[738],"tags":[],"class_list":["post-45568","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","no-featured-image-padding"],"yoast_head":"\ncolumn_stack<\/code> function stacks 1D arrays as columns into a 2D array. It takes a list of 1D arrays as input and returns a 2D array with the same number of rows as the input arrays and the number of columns equal to the sum of the lengths of the input arrays.<\/p>\narray1 = [1, 2, 3]
\narray2 = [4, 5, 6]
\narray3 = [7, 8, 9]<\/code><\/p>\ncolumn_stack<\/code> function:<\/p>\n\n
\n
\n
\ncolumn_stack([array1, array2, array3])
\narray([[ 1, 4, 7],
\n [ 2, 5, 8],
\n [ 3, 6, 9]])
\n“`<\/p>\n<\/blockquote>\n<\/blockquote>\n<\/blockquote>\nrow_stack<\/code> function stacks 1D arrays as rows into a 2D array. It takes a list of 1D arrays as input and returns a 2D array with the same number of columns as the input arrays and the number of rows equal to the sum of the lengths of the input arrays.<\/p>\ncom_stack<\/code> function is not a valid function in NumPy.<\/p>\n","protected":false},"excerpt":{"rendered":"