Display Start Time of Custom Business Hour in 24h Format using Python Pandas

AmitDiwan
Updated on 22-Oct-2021 08:04:25

189 Views

To display the start time of the custom business hour in 24h format from the CustomBusinessHour offset object, use the CustomBusinessHour.start 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. 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 −cbhOffset = pd.tseries.offsets.CustomBusinessHour(start="09:30", end = "18:00", n = 8)Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Display the ... Read More

N-th Term in the Series 1, 11, 55, 239, 991 in C++

Hafeezul Kareem
Updated on 22-Oct-2021 08:03:47

121 Views

The given series is 1, 11, 55, 239, 991...If you clearly observe the series, you will find that the n-th number is 4n-2n-1.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) {    int num = pow(4, n) - pow(2, n) - 1;    return num; } int main() {    int n = 7;    cout

Get Weekmask Applied on CustomBusinessHour Offset in Python Pandas

AmitDiwan
Updated on 22-Oct-2021 08:02:27

133 Views

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

Count Increments on CustomBusinessHour Offset in Python Pandas

AmitDiwan
Updated on 22-Oct-2021 08:00:14

153 Views

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

Minimum Word Break Problem in C++

Sunidhi Bansal
Updated on 22-Oct-2021 07:57:01

325 Views

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

Return Rule Code for CustomBusinessHour Object in Python Pandas

AmitDiwan
Updated on 22-Oct-2021 07:56:38

115 Views

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

Check If CustomBusinessHour Offset is Normalized in Python Pandas

AmitDiwan
Updated on 22-Oct-2021 07:51:30

105 Views

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

Mid-Point Line Generation Algorithm in C++

Sunidhi Bansal
Updated on 22-Oct-2021 07:49:54

4K+ Views

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

Return Name of Frequency from CustomBusinessHour Offset in Pandas

AmitDiwan
Updated on 22-Oct-2021 07:49:50

102 Views

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

Display Keyword Arguments in CustomBusinessHour Object using Python Pandas

AmitDiwan
Updated on 22-Oct-2021 07:47:38

134 Views

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

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