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To eorder categories, use the CategoricalIndex reorder_categories() method in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values. Set the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])Display the CategoricalIndex −print("CategoricalIndex...", catIndex) Get the categories −print("DisplayingCategories from CategoricalIndex...", catIndex.categories)Reorder categories using reorder_categories(). Set the categories in new order as a parameter −print("CategoricalIndex after reordering categories...", catIndex.reorder_categories(["r", "s", "q", "p"]))ExampleFollowing is the ... Read More
To rename categories with Lambda, use the CategoricalIndex rename_categories() method in Pandas.At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values. Set the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["P", "Q", "R", "S", "P", "Q", "R", "S"], ordered=True, categories=["P", "Q", "R", "S"]) Display the CategoricalIndex −print("CategoricalIndex...", catIndex)Rename categories using rename_categories(). Set the new categories that with use lambda and set lowercase for all the categories −print("CategoricalIndex after renaming categories...", catIndex.rename_categories(lambda a: a.lower())) ExampleFollowing is ... Read More
To rename categories with dict-like new categories, use the CategoricalIndex rename_categories() method in Pandas.At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"]) Display the CategoricalIndex −print("CategoricalIndex...", catIndex)Rename categories. Set the new dict-like categories that will replace the old categoriesprint("CategoricalIndex after renaming categories...", catIndex.rename_categories({'p': 5, 'q': 10, 'r': 15, 's': 20})) ExampleFollowing is the code −import pandas as pd # CategoricalIndex can ... Read More
To rename categories, use the CategoricalIndex rename_categories() method in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values. Set the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])Rename categories. Set the new categories that will replace the old categories −print("CategoricalIndex after renaming categories...", catIndex.rename_categories([5, 10, 15, 20])) ExampleFollowing is the code −import pandas as pd # CategoricalIndex can only take ... Read More
To check whether the categories have an ordered relationship, use the ordered property of the CategoricalIndex.At first, import the required libraries −import pandas as pdSet the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])Display the Categorical Index −print("Categorical Index...", catIndex) Get the categories −print("DisplayingCategories from CategoricalIndex...", catIndex.categories)Check categories for ordered relationship −print("Does categories have ordered relationship...", catIndex.ordered) ExampleFollowing is the code −import pandas as pd # CategoricalIndex can only take on a limited, and usually ... Read More
To get the categories of this categorical, use the categories property of the CategoricalIndex in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values (categories. Set the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])Display the Categorical Index −print("Categorical Index...", catIndex) Get the categories −print("Displaying Categories from CategoricalIndex...", catIndex.categories)ExampleFollowing is the code −import pandas as pd # CategoricalIndex can only ... Read More
To get the category codes of this categorical, use the codes property of the CategoricalIndex in Pandas. At first, import the required libraries −import pandas as pdCategoricalIndex can only take on a limited, and usually fixed, number of possible values (categories). Set the categories for the categorical using the "categories" parameter. Treat the categorical as ordered using the "ordered" parameter. Codes are an array of integers which are the positions of the actual values in the categories array −catIndex = pd.CategoricalIndex(["p", "q", "r", "s", "p", "q", "r", "s"], ordered=True, categories=["p", "q", "r", "s"])Display the Categorical Index −print("Categorical Index...", catIndex) Get ... Read More
Suppose we are given a matrix that contains integer values. We have to find out the submatrices from the matrix where the sum of elements of the matrices is equal to a given target sum value. We return the number of submatrices.So, if the input is like0010010001011101and target = 5, then the output will be 3.The number of submatrices whose sum of elements is equal to 6 is 2.To solve this, we will follow these steps −n := size of matm := (if n is same as 0, then 0, otherwise size of mat[0])if m > n, then −Define one ... Read More
Suppose we are given a matrix that contains only two values; 1s and 0s. We have to find out the number of submatrices in the given matrix that contains all 1s. We print the value as output.So, if the input is like0010010001011101then the output will be 12.To solve this, we will follow these steps −n := size of matrixm := size of matrix[0]Define an array add of size: n+1 x m+1.for initialize i := 0, when i < n, update (increase i by 1), do −for initialize j := 0, when j < m, update (increase j by 1), do ... Read More
Suppose we have a list of 2D Cartesian coordinate points (x, y). We can connect (x0, y0) and (x1, y1), whose cost is |x0 - x1| + |y0 - y1|. If we are allowed to connect any number of points, we have to find the minimum cost necessary such that every point is connected by a path.So, if the input is like points = [[0, 0], [0, 2], [0, -2], [2, 0], [-2, 0], [2, 3], [2, -3]], then the output will be 14 because, from (0, 0) to (0, 2), (0, -2), (2, 0), (-2, 0), costs are 2, ... Read More