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To get the maximum value from Ordered CategoricalIndex, use the catIndex.max() method in Pandas.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 max value −print("Maximum value from CategoricalIndex...", catIndex.max())ExampleFollowing is the code −import pandas as pd # CategoricalIndex can only take on a limited, and usually fixed, number of possible values. # Set the categories ... Read More

Suppose we have a matrix character board. Where each cell is holding a character. We also have a string called target, we have to check whether the target can be found in the matrix by going left-to-right, or up-to-down unidirectional way, or not.So, if the input is likeantsspinlapsWord = “tip”then the output will be True, you can see the third column (top to bottom) is forming "tip".To solve this, we will follow these steps −for each i in board, doi := make word from characters present in iif word is present in i, thenreturn Truei := 0while i < row ... Read More

To get the minimum value from Ordered CategoricalIndex, use the catIndex.min() method in Pandas. 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 min value −print("Minimum value from CategoricalIndex...", catIndex.min())ExampleFollowing is the code −import pandas as pd # CategoricalIndex is the Index based on an underlying Categorical # Set the categories for the categorical using ... Read More

To create an Index based on an underlying Categorical, use the pandas.CategoricalIndex() method.At first, import the required libraries −import pandas as pdCategoricalIndex is the Index based on an underlying Categorical. CategoricalIndex 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 Categorical Index −print("Categorical Index...", catIndex)Get the categories −print("DisplayingCategories from CategoricalIndex...", catIndex.categories)ExampleFollowing is the code −import pandas as pd ... Read More

Suppose we have a list of numbers called nums, that is representing stock prices of a company in chronological order. We can buy at most one share of stock per day, but you can hold onto multiple stocks and can sell stocks on any number of days. Return the maximum profit you can earn.So, if the input is like nums = [3, 4, 7, 3, 5], then the output will be 9, because we can buy the stocks at 3 and 4 and sell them at 7. Then again buy at 3 and sell at 5. Total profit (7 - ... Read More

To create RangeIndex from a range object, use the pd.RangeIndex.from_range(range()) method in Pandas.At first, import the required libraries −import pandas as pdCreate RangeIndex −index = pd.RangeIndex.from_range(range(10, 30)) Display the RangeIndex −print("RangeIndex...",index)ExampleFollowing is the code −import pandas as pd # RangeIndex index = pd.RangeIndex.from_range(range(10, 30)) # Display the RangeIndex print("RangeIndex...",index) # Display the start value print("RangeIndex start value...",index.start) # Display the end value print("RangeIndex end value...",index.stop)OutputThis will produce the following output −RangeIndex... RangeIndex(start=10, stop=30, step=1) RangeIndex start value... 10 RangeIndex end value... 30

To display the value of the step parameter of RangeIndex, use the index.step property in Pandas.At first, import the required libraries −import pandas as pdRangeIndex is a memory-saving special case of Int64Index limited to representing monotonic ranges. Create a range index with start, stop and step. The name is the name to be stored in the index.index = pd.RangeIndex(start=10, stop=30, step=2, name="data") Display the step parameter value −print("RangeIndex step value...", index.step)ExampleFollowing is the code −import pandas as pd # RangeIndex is a memory-saving special case of Int64Index limited to representing monotonic ranges. # Create a range index with start, ... Read More

Suppose we have a list of integers called tasks where each item represents a different task type, we also have a non-negative integer say k. Each task takes one unit of time to complete and the tasks must be completed in correct order, but we must have k units of time between doing two same type tasks. At any time, either we can do a task or wait. We have to find the amount of time it takes to complete all the tasks.So, if the input is like tasks = [0, 1, 1, 2] k = 2, then the output ... Read More

To display the value of the stop parameter of RangeIndex, use the index.stop property in Pandas.At first, import the required libraries −import pandas as pdRangeIndex is a memory-saving special case of Int64Index limited to representing monotonic ranges. Create a range index with start, stop and step. The name is the name to be stored in the index.index = pd.RangeIndex(start=5, stop=20, step=2, name="data") Display the RangeIndex −print("RangeIndex...", index)Display the stop parameter value −print("RangeIndex stop value...", index.stop) ExampleFollowing is the code −import pandas as pd # RangeIndex is a memory-saving special case of Int64Index limited to representing monotonic ranges. # Using ... Read More

To display the value of the start parameter of RangeIndex, use the index.start property in Pandas. At first, import the required libraries −import pandas as pdRangeIndex is a memory-saving special case of Int64Index limited to representing monotonic ranges. Using RangeIndex may in some instances improve computing speed. Create a range index with start, stop and step. The name is the name to be stored in the index.index = pd.RangeIndex(start=5, stop=20, step=2, name="data") Display the RangeIndex −print("RangeIndex...", index)Display the start parameter value −print("RangeIndex start value...", index.start) ExampleFollowing is the code −import pandas as pd # Create a range index with ... Read More