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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 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
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
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 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
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
Suppose we have a list of numbers called nums, we have to return the list by swapping each consecutive even indexes with each other, and swapping each consecutive odd indexes with each other.So, if the input is like nums = [8, 5, 3, 4, 8, 9, 3, 6, 4, 7], then the output will be [3, 4, 8, 5, 3, 6, 8, 9, 4, 7]To solve this, we will follow these steps −for i in range 0 to size of nums - 2, increase by 4, doif i + 2 < size of nums, thenswap nums[i] and nums[i + 2]if ... 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
To create a RangeIndex, use the pandas.RangeIndex() method 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=10, stop=30, step=2, name="data") Display the start parameter value −print("RangeIndex start value...", index.start)Display the stop parameter value −print("RangeIndex stop value...", index.stop) Display the step parameter value −print("RangeIndex step value...", index.step)ExampleFollowing is the code −import pandas as pd ... Read More
To compute slice locations for input labels, use the index.slice_locs() method. At first, import the required libraries −import pandas as pdCreate Pandas index object −index = pd.Index(list('pqrstuvwxyz')) Display the Pandas index −print("Pandas Index...", index)Get the slice locations. The "start" is the label to begin with. The "end" is the label to end withprint("The slice locations with start and stop...", index.slice_locs(start='q', end='v')) ExampleFollowing is the code −import pandas as pd # Create Pandas index object index = pd.Index(list('pqrstuvwxyz')) # Display the Pandas index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements ... Read More