Programming Articles - Page 942 of 3363

To display the keyword arguments applied on the given CustomBusinessDay object, use the CustomBusinessDay.kwds property 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 CustomBusinessDay Offset −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) Display the keyword arguments −print("Keyword arguments on the given CustomBusinessDay Offset...", cbdOffset.kwds)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 ... Read More

To return frequency applied on the given CustomBusinessDay Offset object as a string, use the CustomBusinessDay.freqstr 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 −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 frequency applied on the given CustomBusinessDay Offset object as a string −print("Frequency applied on the given CustomBusinessDay Offset object...", cbdOffset.freqstr)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in ... Read More

To create a CustomBusinessDay Offset object, use the pd.tseries.offsets.CustomBusinessDay() method in Pandas.At first, import the required libraries −import pandas as pdCreate 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 = 5, weekmask = 'Mon Tue Wed Fri') Set the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-31 08:35:10')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) 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 ... 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

We are given a 2-D array of integer elements forming the matrix. The task is to calculate the count of minimum sum by pulling the submatrix from the matrix so formed.Let us see various input output scenarios for this -In −int matrix[size][size] = { {2, 3, -1, 5}, {-2, 9, -1, 6}, { 5, 6, 9, -9}, { -6, 1, 1, 1} }Out −Minimum sum submatrix in a given 2D array is: -9Explanation −we are given a 2-D array of size 4x4 i.e. 4 rows and 4 columns. Now, we will find out the sub-matrix from the given matrix such ... Read More

We are given a tree data structure with ‘n’ number of nodes. The given tree will have a root node and respective children which can be any number and further child can have any number of children. The task is to find the minimum number of iterations required by a root node of a tree to pass the information to all nodes in a tree. At a time, a node can pass information to one of its children and further one of its children can pass information to one of its children and meanwhile root node can pass information to ... Read More

We are given a binary array which can store digits 1’s and 0’s of any given size and an integer variable let’s say, base. The task is to calculate the minimum 1’s that can lend power to other elements of a binary array such that the entire array becomes powerful. An element can lend power to its adjacent element or any other elements within the distance less than base.Let us see various input output scenarios for this -In − int arr[] = {1, 1, 0, 1, 1, 0, 1}, int base = 7Out −Minimum 1s to lend power to make ... Read More

Move to the next business day using the BusinessHour.next_bday property in Pandas. At first, import the required libraries −import datetime import pandas as pdCreate the BusinessHour Offset. BusinessHour is the DateOffset subclass −bhOffset = pd.tseries.offsets.BusinessHour(offset = datetime.timedelta(days = 3, hours = 3)) Display the BusinessHour Offset −print("BusinessHour Offset...", bhOffset)Set the timestamp object in Pandas −timestamp = pd.Timestamp('2021-9-30 06:50:20') Display the next business day −print("The next business day...", timestamp + bhOffset.next_bday)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-9-30 06:50:20') # Display the Timestamp print("Timestamp...", timestamp) # ... Read More

To display the end time of the custom business hour in 24h format from the BusinessHour offset object, use the BusinessHour.end property.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-9-30 06:50:20') Create the BusinessHour Offset. Here, "start" is the start time of your custom business hour in 24h format. The "end" is the end time of your custom business hour in 24h format −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00", n = 8)Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Display the end time of the custom business hour −print("The end ... Read More

To display the start time of the custom business hour in 24h format from the BusinessHour offset object, use the BusinessHour.start property.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-9-30 06:50:20') Create the BusinessHour Offset. Here, "start" is the start time of your custom business hour in 24h format. The "end" is the end time of your custom business hour in 24h format −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00", n = 8)Display the Updated Timestamp − Display the start time of the custom business hour −print("The start time of the custom ... Read More