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To move to the next business day, use the CustomBusinessHour.next_bday property 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(start ='09:30', end ='18:00', n = 5, weekmask = 'Mon Tue Wed Fri')Display the CustomBusinessHour Offset −print("CustomBusinessHour Offset...", cbhOffset) Display the next business day −print("The next business day...", timestamp + cbhOffset.next_bday)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-12-20 08:35:10') # Display the Timestamp print("Timestamp...", timestamp) ... Read More
To roll provided date forward to next offset only if not on offset, use the CustomBusinessHour.rollforward() 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. Weekmask of valid business days −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 forward if not on offset −roll = cbhOffset.rollforward(pd.Timestamp('2021-12-30 08:35:10'))Display the result −print("Roll forward Result...", roll) ExampleFollowing is the code −import pandas as ... Read More
You are given the N-th root and the result of it. You need to find the number such that numberN = result.Let's see some examples.Input result = 25 N = 2Output 5The 52 = 25. Hence the output in the above example is 5.Inputresult = 64 N = 3Output4 The 43 = 64. Hence the output in the above example is 4.AlgorithmImplementationFollowing is the implementation of the above algorithm in C++#include using namespace std; int getNthRoot(int result, int n) { int i = 1; while (true) { if (pow(i, n) == result) { return i; } i += 1; } } int main() { int result = 64, N = 6; cout
To create a CustomBusinessHour object, use the pandas.tseries.offsets.CustomBusinessHour() method in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-31 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass. Weekmask of valid business days −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 5, weekmask = 'Mon Tue Wed Fri')Display the CustomBusinessHour Offset −print("CustomBusinessHour Offset...", cbhOffset) Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-12-31 08:35:10') # Display the Timestamp ... Read More
To get the weekmask applied on the CustomBusinessDay offset, use the CustomBusinessDay.weekmask property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') Create the CustomBusinessDay Offset. CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays. Weekmask of valid business days −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 4, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Display the weekmask −print("The weekmask on the CustomBusinessDay object..", cbdOffset.weekmask)ExampleFollowing is the code −import pandas as pd # Set the ... Read More
To return the count of increments applied on the CustomBusinessDay offset, use the CustomBusinessDay.n property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') Create the CustomBusinessDay Offset −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 4, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Return the count of increments on the given CustomBusinessDay object −print("The count of increments on the CustomBusinessDay object..", cbdOffset.n)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp ... Read More
We are given an integer array and the task is to firstly fetch the prefix of an array and then multiply it with -1, secondly calculate the prefix sum of an array and lastly find the maximum sum from the prefix array generated.Prefix array is generated as −First element of prefixArray[0] = first element of an arraySecond element of prefixArray[1] = prefixArray[0] + arr[1]Third element of prefixArray[2] = prefixArray[1] + arr[2]Fourth element of prefixArray[3] = prefixArray[2] + arr[3] …..etc.Let us see various input output scenarios for this -In − int arr[] = {2, 4, 1, 5, 2}Out − Prefix array is: ... Read More
To return the rule code applied on the given CustomBusinessDay object, use the CustomBusinessDay.rule_code property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') Create the CustomBusinessDay Offset .CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Return the rule code of the frequency applied on the given CustomBusinessDay Offset −print("The rule code of the CustomBusinessDay object..", cbdOffset.rule_code)ExampleFollowing is the code ... Read More
To check whether the CustomBusinessDay Offset has been normalized or not, use the CustomBusinessDay.normalize property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') Create the CustomBusinessDay Offset. CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays. Weekmask of valid business days. We have normalized the CustomBusinessDay using the "normalize" parameter −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri', normalize=True)Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Check whether the CustomBusinessDay Offset is normalized or not ... Read More
To return the name of the frequency applied on the given CustomBusinessDay offset object, use the CustomBusinessDay.name property.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-31 08:35:10') Create the CustomBusinessDay Offset. CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Return the name of the frequency applied on the given CustomBusinessDay object −print("The name of the frequency on the CustomBusinessDay object..", cbdOffset.name)ExampleFollowing is ... Read More