Programming Articles - Page 941 of 3366

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

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 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

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

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

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

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 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