Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Python Articles
Page 521 of 852
Python Pandas - Check if the given CustomBusinessHour is Anchored
To check if the given CustomBusinessHour is Anchored, use the CustomBusinessHour.is_anchored() method 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(start="09:30", end = "18:30")Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Check whether the CustomBusinessHour is anchored −print("Check whether the CustomBusinessHour is anchored...", cbhOffset.is_anchored())ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-11-14 05:20:30') # Display the Timestamp print("Timestamp...", ...
Read MorePython Pandas CustomBusinessHour - Roll provided date forward to next offset only if not on offset
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 MorePython Pandas - Create a CustomBusinessHour Offset object
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 MorePython Pandas - Get the weekmask applied on the CustomBusinessDay offset
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 MorePython Pandas - Create a CustomBusinessDay Offset object
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 MoreLatin Square in Python
The Latin square is a matrix that has a special pattern. Let's see different examples to examine the pattern.1 2 2 1 1 2 3 3 1 2 2 3 1 1 2 3 4 4 1 2 3 3 4 1 2 2 3 4 1 The Latin square that you get will be of different size as you notice in the above examples. But, if you carefully observe the above matrices' pattern, you will find out that the last number of the previous row comes as the first element of the next row.That's the pattern ...
Read MorePython Pandas BusinessHour offset object - Move to the next business day
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 MorePython Pandas - Display the end time of the custom business hour in 24h format from the BusinessHour offset object
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 MorePython Pandas - Display the start time of the custom business hour in 24h format from the BusinessHour offset object
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 MoreWhat is the equivalent of Matlab's surf(x,y,z,c) in Matplotlib?
Let's take an example to see how to get the same effect as MatLab's surf(x, y, z, c) in Matplotlib. steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Create r, u, v, x, y and z data points using Numpy.Create a surface plot.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(projection='3d') r = 0.05 u, v ...
Read More