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We are given an array string of words of any given size and the task is to break the words in all possible ways such that after the break the string formed should be a valid string and we have to calculate all such minimum word break as per the problem.Let us see various input output scenarios for this -In − string word[] = {"Hello", "Hell", "tell", "well", "bell", "ball", "all" }Out − Minimum Word Break is: 1Explanation − we are given with multiple words. Now we will pass the concatenation of two strings i.e. Hell and all and will break the concatenated ... Read More
To return the rule code applied on the given CustomBusinessHour object, use the CustomBusinessHour.rule_code property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-11-14 05:20:30')Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 4, weekmask = 'Mon Tue Wed Fri Sat' ,normalize=True)Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset)Return the rule code of the frequency applied on the given CustomBusinessHour Offset −print("The rule code of the CustomBusinessHour object..", cbhOffset.rule_code)ExampleFollowing is the code −import pandas as pd # ... Read More
To check whether the CustomBusinessHour Offset has been normalized or not, use the CustomBusinessHour.normalize property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-25 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass. We have normalized the CustomBusinessDay using the "normalize" parameter −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 3, weekmask = 'Mon Tue Wed Fri Sat' ,normalize=True)Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Check whether the CustomBusinessHour Offset is normalized or not −print("The CustomBusinessHour Offset is normalized ?", cbhOffset.normalize)ExampleFollowing is the code ... Read More
A line connects two points. It is a basic element in graphics. To draw a line, you need two points between which you can draw a line on a screen and in terms of graphics we refer to the points as pixels and every pixel is associated with integer coordinates. We are given integer coordinates in the form of (x1, y1) and (x2, y2) where, x1 < x2 and y1 < y2. The task is to calculate all the mid-points between point 1 i.e. (x1, y1) and point 2 i.e. (x2, y2) using the Midpoint Line Generation Algorithm.There are three ... Read More
To return the name of the frequency applied on the given CustomBusinessHour offset object, use the CustomBusinessHour.name property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-25 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 3, weekmask = 'Mon Tue Wed Fri Sat')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Return the name of the frequency applied on the given CustomBusinessHour object −print("The name of the frequency on the CustomBusinessHour object..", cbhOffset.name)ExampleFollowing is the code −import ... Read More
To display the keyword arguments applied on the given CustomBusinessHour object, use the CustomBusinessHour.kwds property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-25 08:35:10') Create the CustomBusinessHour Offset −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 3, weekmask = 'Mon Tue Wed Fri Sat')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Display the keyword arguments −print("Keyword arguments on the given CustomBusinessHour Offset...", cbhOffset.kwds)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-10-25 08:35:10') # Display ... Read More
The given series is 2, 12, 36, 80, 150...If you clearly observe the series, you will find that the n-th number is n2 + n3.AlgorithmInitialise the number N.Use the series formula to compute the n-th term.Print the result.ImplementationFollowing is the implementation of the above algorithm in C++#include using namespace std; int getNthTerm(int n) { return (n * n) + (n * n * n); } int main() { int n = 7; cout
To return frequency applied on the given CustomBusinessHour Offset object as a string, use the CustomBusinessHour.freqstr property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-25 08:35:10') Create the CustomBusinessHour Offset −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 3, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Return frequency applied on the given CustomBusinessHour Offset object as a string −print("Frequency applied on the given CustomBusinessHour Offset object...", cbhOffset.freqstr)ExampleFollowing is the code −import pandas as pd # Set the timestamp ... Read More
We are given with an integer array and an integer variable i.e. ‘X’. The task is to firstly form the subarray from the given array and then multiply all the elements of a subarray with an integer X. At last find out the elements that will contribute the maximum sum.Let us see various input output scenarios for this -In − int arr[] = {2, 4, 1, -5, -2}, X = 3Out − Maximize the subarray sum after multiplying all elements of any subarray with X are: 21Explanation − we are given with an array and an integer variable as X. Firstly, ... Read More
To roll provided date backward, use the CustomBusinessHour.rollback() method in Pandas. At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-20 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 5, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Roll backward if not on offset −roll_back = cbhOffset.rollback(pd.Timestamp('2021-12-18 08:35:10'))Display the result −print("Roll Backward Result...", roll_back) ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-12-20 ... Read More