Programming Articles - Page 940 of 3363

To get the weekmask applied on the CustomBusinessHour offset, use the CustomBusinessHour.weekmask 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. Weekmask of valid business days −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 7, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Display the weekmask −print("The weekmask on the CustomBusinessHour object..", cbhOffset.weekmask)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = ... Read More

We are given with an array of integer elements representing the coefficient values of a polynomial. The size of an array will be ‘n’ i.e. number of elements in an array. The degree of polynomial always starts with n-1 as there will be one constant value at the end of the polynomial series. The task is to replace the coefficient with other polynomials in such a manner that sum of roots will be minimized.Let us see various input output scenarios for this -In − int arr[] = { 2, -1, 4, 9, -1, 10, -5}Out − Minimize the sum of roots of ... Read More

To return the count of increments applied on the CustomBusinessHour offset, use the CustomBusinessHour.n 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 = 7, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Return the count of increments on the given CustomBusinessHour object −print("The count of increments on the CustomBusinessHour object..", cbhOffset.n)ExampleFollowing is the code −import pandas as pd # Set the ... 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

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 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

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