The key idea is you form a set of the rows you want to remove, and keep the complement of that set. In R, the complement of a set is given by the ‘-‘ operator. So, assuming the data.frame is called myData: myData[-c(2, 4, 6), ] # notice the – Of course, don’t forget to … Read more
Use the pandas idxmax function. It’s straightforward: >>> import pandas >>> import numpy as np >>> df = pandas.DataFrame(np.random.randn(5,3),columns=[‘A’,’B’,’C’]) >>> df A B C 0 1.232853 -1.979459 -0.573626 1 0.140767 0.394940 1.068890 2 0.742023 1.343977 -0.579745 3 2.125299 -0.649328 -0.211692 4 -0.187253 1.908618 -1.862934 >>> df[‘A’].idxmax() 3 >>> df[‘B’].idxmax() 4 >>> df[‘C’].idxmax() 1 Alternatively you … Read more
ALTER TABLE `table` ADD INDEX `product_id_index` (`product_id`) Never compare integer to strings in MySQL. If id is int, remove the quotes.
Use a selector that will select all the rows and take the length. var rowCount = $(‘#myTable tr’).length; Note: this approach also counts all trs of every nested table!